Journal articles: 'Maintenance errors'

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NECULA, Florin, and Sorin-Eugen ZAHARIA. "CAPTURING HAZARDS AND ERADICATING HUMAN ERRORS IN AIRCRAFT MAINTENANCE." Review of the Air Force Academy 13, no. 3 (December 16, 2015): 155–60. http://dx.doi.org/10.19062/1842-9238.2015.13.3.27.

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Rankin, William L. "The Maintenance Error Decision Aid (MEDA) Process." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 22 (July 2000): 795–98. http://dx.doi.org/10.1177/154193120004402278.

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Maintenance and inspection errors have been the primary cause of six percent of aircraft accidents and have contributed to an additional nine percent of the accidents from 1982 through 1993. What can maintenance organizations do to reduce these types of errors? This paper discusses the development and evaluation of a maintenance error investigation process-the Maintenance Error Decision Aid (MEDA). MEDA was developed based on the following philosophy: maintenance technicians do not make errors on purpose; errors result from a series of related contributing factors, and; these factors are largely under management control and, therefore, can be improved to prevent future, similar errors. The MEDA process was field tested at nine maintenance organizations. After a one-day training course, airline personnel were able to carry out a successful MEDA investigation to determine and correct contributing factors to error. An average of 3.4 contributing factors was found per error. Since the end of the field test, Boeing has provided MEDA implementation support to over 120 aircraft maintenance organizations around the world. Feedback suggests that all organizations using MEDA have found cost-effective solutions to maintenance error.

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Wee, Nam-Sook. "Optimal Maintenance Schedules of Computer Software." Probability in the Engineering and Informational Sciences 4, no. 2 (April 1990): 243–55. http://dx.doi.org/10.1017/s026996480000156x.

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We present a decision procedure to determine the optimal maintenance intervals of a computer software throughout its operational phase. Our model accounts for the average cost per each maintenance activity and the damage cost per failure with the future cost discounted. Our decision policy is optimal in the sense that it minimizes the expected total cost. Our model assumes that the total number of errors in the software has a Poisson distribution with known mean λ and each error causes failures independently of other errors at a known constant failure rate. We study the structures of the optimal policy in terms of λ and present efficient numerical algorithms to compute the optimal maintenance time intervals, the optimal total number of maintenances, and the minimal total expected cost throughout the maintenance phase.

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Illankoon, Prasanna, and Phillip Tretten. "Judgemental errors in aviation maintenance." Cognition, Technology & Work 22, no. 4 (October 28, 2019): 769–86. http://dx.doi.org/10.1007/s10111-019-00609-9.

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Virovac, Darko, Anita Domitrović, and Ernest Bazijanac. "The Influence of Human Factor in Aircraft Maintenance." PROMET - Traffic&Transportation 29, no. 3 (June 27, 2017): 257–66. http://dx.doi.org/10.7307/ptt.v29i3.2068.

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Human factor is one of the safety barriers which is used in order to prevent accidents or incidents of aircraft. Therefore, the question is to which extent the error caused by human factor is included into the share of errors that are madeduring aircraft maintenance. In the EASA approved aircraft maintenance organisation, which includes in its working system the human factor as well, the tendency is to apply the approach by continuous monitoring and analysis of errors in aircraft maintenance. Such approach achieves advance prevention or reduction of the occurrence of harmful events, such as accidents, incidents, injuries and in a wider sense damages related to aircraft operation and maintenance. The research presented in this paper is a result of gathering and systematization of errors caused by human factors over the last five years in one organisation for aircraft maintenance certified according to the European standards. The study encompasses an analysis of 28 (twenty-eight) investigations of individual cases and provides insight into the main factors of errors. The results of analyses on the cause of occurrence of human error show similar results like the Boeing study which was carried out for the world fleet.

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Roy, Sophie, Céline Eiden, Irina Rasanjison, Véronique Pinzani, and Hélène Peyrière. "Medication errors involving opioid maintenance therapy." Therapies 75, no. 3 (May 2020): 295–97. http://dx.doi.org/10.1016/j.therap.2019.07.007.

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Hobbs, Alan, and Ann Williamson. "Associations between Errors and Contributing Factors in Aircraft Maintenance." Human Factors: The Journal of the Human Factors and Ergonomics Society 45, no. 2 (June 2003): 186–201. http://dx.doi.org/10.1518/hfes.45.2.186.27244.

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In recent years cognitive error models have provided insights into the unsafe acts that lead to many accidents in safety-critical environments. Most models of accident causation are based on the notion that human errors occur in the context of contributing factors. However, there is a lack of published information on possible links between specific errors and contributing factors. A total of 619 safety occurrences involving aircraft maintenance were reported using a self-completed questionnaire. Of these occurrences, 96% were related to the actions of maintenance personnel. The types of errors that were involved, and the contributing factors associated with those actions, were determined. Each type of error was associated with a particular set of contributing factors and with specific occurrence outcomes. Among the associations were links between memory lapses and fatigue and between rule violations and time pressure. Potential applications of this research include assisting with the design of accident prevention strategies, the estimation of human error probabilities, and the monitoring of organizational safety performance.

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Chervak, Steven G., and Colin G. Drury. "Effects of job instruction on maintenance task performance." Occupational Ergonomics 3, no. 2 (July 24, 2003): 121–31. http://dx.doi.org/10.3233/oer-2003-3204.

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Written documentation has been implemented in aviation maintenance errors so that documentation becomes an important safety issue. A restricted technical language for job instruction, Simplified English was tested to determine whether or not it reduced error rate in a maintenance task. Experienced and inexperienced participants performed on easy and a difficult maintenance task on a small internal combustion engine using three languages of job instruction: original, Simplified English and a hybrid. Task errors were reduced with Simplified English but increased with the hybrid version. While the easy task and the experienced participants made fewer errors, neither participant expertise nor task difficulty interacted with instruction language. Hence, Simplified English can be recommended, but hybrid instructions should be avoided.

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Islam, Rabiul, Rouzbeh Abbassi, Vikram Garaniya, and Faisal I. Khan. "Determination of Human Error Probabilities for the Maintenance Operations of Marine Engines." Journal of Ship Production and Design 32, no. 04 (November 1, 2016): 226–34. http://dx.doi.org/10.5957/jspd.2016.32.4.226.

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Human error is a crucial factor in the shipping industry and not to mention numerous human errors occur during the maintenance procedures of marine engines. Determination of human error probabilities (HEPs) is important to reduce the human errors and prevent the accidents. Nevertheless, determination of HEPs in the maintenance procedures of marine engines has not been given desired attention. The aim of this study is to determine the HEPs for the maintenance procedures of the marine engines to minimize the human errors and preclude accidents from the shipping industry. The Success Likelihood Index Method is used to determine the HEPs due to the unavailability of human error data for maintenance procedures of marine engines. The results showed that among the 43 considered activities in this study, inspection and overhauls piston/piston rings have the lowest HEP meaning it has a lower consequence for accidents. On the other hand, fuel and lubricating oil filters pressure difference checking and renews filter elements activity have the highest HEP indicating it has high chances for accidents.

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Nkosi, Mfundo, Kapil Gupta, and Madindwa Mashinini. "Causes and Impact of Human Error in Maintenance of Mechanical Systems." MATEC Web of Conferences 312 (2020): 05001. http://dx.doi.org/10.1051/matecconf/202031205001.

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The concept of minimizing human error in maintenance is progressively gaining attention in various industries. The incorporation of human factors when solving engineering problems, particularly in maintenance, can no longer be ignored where high standards of performance are expected. The journey of improving maintenance performance through the reduction of human error begins with the understanding of causes and impact of human error in maintenance. This paper evaluates previous scholarly writings on human errors, to specifically establish the causes and impact of human error in maintenance. This study relies predominantly on the existing literature on human error in maintenance derived from published and unpublished research. The primary findings emerging from the research exhibit a number of key factors that cause a human error in maintenance such as poor management and supervision, organizational culture, incompetence, poorly written procedures, poor communication, time pressure, plant and environmental conditions, poor work design and many more. The literature review also revealed that human errors have a negative impact on safety, reliability, productivity and efficiency of the equipment. It was further discovered that equipment failures leading to accidents, incidents, loss of life and economic losses are the major effects of human error. Human error in mechanical systems’ maintenance is a serious problem which needs adequate attention in order to develop corrective and preventive measures. This review paper serves as a basis for maintenance practitioners and interested parties to develop corrective and preventive measures for minimizing human error in the maintenance of mechanical systems.

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Richards, Brandon D. "Error Probabilities and Relationships in Assembly and Maintenance of Aircraft Engines." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 1599–603. http://dx.doi.org/10.1177/1541931218621361.

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Aircraft engine maintenance errors recorded during commercial revenue operation (field operation) share common causes and outcomes as those documented in original equipment manufacturer (OEM) and maintenance repair and overhaul (MRO) facilities. Utilizing data from one or more one of these sources can increase the understanding of skill-based, decision and perceptual errors occurring during assembly, operation and maintenance. The null hypothesis in this descriptive, explanatory research is: the nominal human error probability of removing and replacing a specified line replaceable unit (LRU)/component in field operations and OEM/MRO is the same. Quantitative analysis will include probabilities of human error for specific processes in both field operations and MRO/OEM environments determined by the Human Error Assessment and Reduction Technique (HEART). Qualitative analysis will include the classification of past errors utilizing the Human Factors Classification and Analysis System (HFACS). Accounting for all available types of data enables more precise and appropriate corrective actions.

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Drury, Colin G., and Jiao Ma. "Experiments on Language Errors in Aviation Maintenance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 48, no. 1 (September 2004): 118–22. http://dx.doi.org/10.1177/154193120404800126.

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Geibel, William D., Terry L. von Thaden, and Takahiro Suzuki. "Issues That Precipitate Errors in Airline Maintenance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 52, no. 1 (September 2008): 94–98. http://dx.doi.org/10.1177/154193120805200121.

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Drury, Colin G. "Errors in Aviation Maintenance: Taxonomy and Control." Proceedings of the Human Factors Society Annual Meeting 35, no. 2 (September 1991): 42–46. http://dx.doi.org/10.1518/107118191786755850.

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Okafor, Ekene Gabriel, Ugomma Esther Aturuocha, Osaretin Kole, and Musibau Adekunle Soladoye. "Development of an Error Detection Instrument for Aircraft Maintenance." International Journal of Engineering Research in Africa 45 (November 2019): 156–70. http://dx.doi.org/10.4028/www.scientific.net/jera.45.156.

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This work focuses on the development of an Error Detection Instrument (EDI), applicable in aircraft maintenance operations. Thirteen aircraft maintenance tasks were identified and used to develop the EDI. The EDI was validated by four professionals presently employed in different aviation organizations within and outside Nigeria. The study data was collected via careful observations of two maintenance activities such as landing gear maintenance and engine oil servicing using two trained research assistants. Qualitative data analysis was conducted by comparing collected data against the approved procedures as well as maintenance manual and the result of the study revealed the occurrence of errors during inspection, cleaning/lubrication, training, troubleshooting and documentation tasks. The safety implications of the tracked errors were adequately discussed. It is recommended that the EDI should be incorporated into the maintenance document and quality control process of Approved Maintenance Organizations (AMOs).

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Chen, Bin. "Aviation Maintenance Human Error Analysis and Management Method." Applied Mechanics and Materials 556-562 (May 2014): 6479–82. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6479.

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Human error in aviation repair is one of the important factors and the primary directly or indirectly cause of aviation flight accident .In order to further enhance flight safety factor and maintain daily flight order, this paper made scientific and effective analysis and research for the characteristic , cause and mode of the aviation maintenance error .The aviation maintenance error mode are analyzed and researched in detail .The corresponding management and control method are proposed in combination with the typical case in specific aviation maintenance human errors.

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Drury, Colin G., and Jiao Ma. "Do Language Barriers Result in Aviation Maintenance Errors?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 47, no. 1 (October 2003): 46–50. http://dx.doi.org/10.1177/154193120304700110.

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Qiu, Qingan, Lirong Cui, Jingyuan Shen, and Li Yang. "Optimal maintenance policy considering maintenance errors for systems operating under performance-based contracts." Computers & Industrial Engineering 112 (October 2017): 147–55. http://dx.doi.org/10.1016/j.cie.2017.08.025.

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Liang, Guo-Feng, Jhih-Tsong Lin, Sheue-Ling Hwang, Eric Min-yang Wang, and Patrick Patterson. "Preventing human errors in aviation maintenance using an on-line maintenance assistance platform." International Journal of Industrial Ergonomics 40, no. 3 (May 2010): 356–67. http://dx.doi.org/10.1016/j.ergon.2010.01.001.

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Mallett, Remington, Elizabeth S. Lorenc, and Jarrod A. Lewis-Peacock. "Working Memory Swap Errors Have Identifiable Neural Representations." Journal of Cognitive Neuroscience 34, no. 5 (March 31, 2022): 776–86. http://dx.doi.org/10.1162/jocn_a_01831.

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Abstract Working memory is an essential component of cognition that facilitates goal-directed behavior. Famously, it is severely limited and performance suffers when memory load exceeds an individual's capacity. Modeling of visual working memory responses has identified two likely types of errors: guesses and swaps. Swap errors may arise from a misbinding between the features of different items. Alternatively, these errors could arise from memory noise in the feature dimension used for cueing a to-be-tested memory item, resulting in the wrong item being selected. Finally, it is possible that so-called swap errors actually reflect informed guessing, which could occur at the time of a cue, or alternatively, at the time of the response. Here, we combined behavioral response modeling and fMRI pattern analysis to test the hypothesis that swap errors involve the active maintenance of an incorrect memory item. After the encoding of six spatial locations, a retro-cue indicated which location would be tested after memory retention. On accurate trials, we could reconstruct a memory representation of the cued location in both early visual cortex and intraparietal sulcus. On swap error trials identified with mixture modeling, we were able to reconstruct a representation of the swapped location, but not of the cued location, suggesting the maintenance of the incorrect memory item before response. Moreover, participants subjectively responded with some level of confidence, rather than complete guessing, on a majority of swap error trials. Together, these results suggest that swap errors are not mere response-phase guesses, but instead result from failures of selection in working memory, contextual binding errors, or informed guesses, which produce active maintenance of incorrect memory representations.

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Schmidt, John, Dylan Schmorrow, and Robert Figlock. "Human Factors Analysis of Naval Aviation Maintenance Related Mishaps." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 22 (July 2000): 775–78. http://dx.doi.org/10.1177/154193120004402273.

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Naval Aviation has redoubled its long-standing efforts to eliminate mishaps, especially those linked to human error. The focus was expanded not only to cover aircrew error, but maintainer error as well. To examine maintainer error, the Naval Safety Center's Human Factors Analysis and Classification System (HFACS) was adapted to analyze reportable Naval Aviation maintenance related mishaps (MRMs). A total of 470 MRMs for Fiscal Years 90–97 were analyzed. The HFACS Maintenance Extension effectively profiled the nature of maintenance errors and depicted the latent supervisory, working, and maintainer conditions that “set the stage” for subsequent maintainer acts that were the proximate factors leading to a MRM. The profile and general findings held true for both major MRMs and less severe, reportable MRMs.

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Ge, En Shun, Qing Min Li, and Guang Yu Zhang. "Condition-Based Maintenance Policy under Imperfect Inspection Using Monte-Carlo Simulation." Applied Mechanics and Materials 201-202 (October 2012): 955–58. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.955.

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Condition-based Maintenance (CBM), which can efficiently improve the performance of the deteriorating system, would be influenced by imperfect inspection in practice. Aiming at this problem, a new CBM model under imperfect inspection is presented for deteriorating system, which described by Gamma process. The system is inspected periodically, and a preventive maintenance is performed if the degradation level exceeds a threhold. The inspection is imperfect, that means the measurements contain errors, and the CBM model should take these measure errors into account. The algorithm is shown to estimate the long run cost rate using Monte-Carlo method. Through numerical example, the influence of mesurement error over long run cost is analyzed. Therefore, the correctness and rationality of the model are proved.

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Celeux, G. "Accounting for inspection errors and change in maintenance behaviour." IMA Journal of Management Mathematics 13, no. 1 (January 1, 2002): 51–59. http://dx.doi.org/10.1093/imaman/13.1.51.

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Raouf, A. "Managing Maintenance Errors: A Practical Guide20051James Reason and Alan Hobbs. Managing Maintenance Errors: A Practical Guide. Ashgate, 2003. 183 pp., ISBN: 0754615901." Journal of Quality in Maintenance Engineering 11, no. 4 (December 2005): 388–89. http://dx.doi.org/10.1108/13552510510627007.

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Crespo, Andrea, Erin Redwood, Kathy Vu, and Vishal Kukreti. "Reviewing systemic treatment regimens to reduce unintentional errors." Journal of Clinical Oncology 35, no. 8_suppl (March 10, 2017): 51. http://dx.doi.org/10.1200/jco.2017.35.8_suppl.51.

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51 Background: Use of systemic treatment computerized prescriber order entry (ST CPOE) and pre-printed orders (PPO) are proven error reduction measures. Such systems are not failsafe, as regimen development depends on cognitive input at critical points and is susceptible to human error. No known guidance currently exists in oncology to ensure regimens are of high quality and built as intended. The purpose of this initiative was to improve the quality of oncology regimens in Ontario. Methods: A review of 35 centres, representing 75 treatment centres in a hub-and-spoke model, was conducted for all active regimens (PPO and CPOE) to ensure they were built as intended, with respect to drugs and doses. Centres completed an exploratory survey to report any unintentional discrepancies and existing maintenance review processes. The survey collected centre demographics and contained descriptive questions to document details of the regimen review and maintenance processes. Results: The review yielded an 86% response rate (12 regional and 18 community cancer centres). Upwards of 700 regimens were reviewed by a multidisciplinary team at each participating centre. Unintentional discrepancies were reported by 7 of the 30 (23%) centres (range of 2 – 141 per centre); types and examples are presented in the Table. Only 2 of 30 centres (7%) had an established regimen maintenance process. Conclusions: The review identified unintentional discrepancies and, due to the potential for patient harm, corrective action has been taken. There is a need for guidance and adoption of a standardized approach in order to sustain a high-quality regimen build and review process across the province. Consensus-based recommendations for ST CPOE and PPO regimen development and maintenance have been developed. Identified discrepancies have been amended and maintenance review processes are now implemented to improve the quality and safety of systemic treatment delivery. [Table: see text]

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Mirnenko, V., P. Yablonsky, V. Tyurin, A. Salii, O. Avramenko, and M. Kasianenko. "Determination of Efficiency of Weapon Systems Maintenance as Condition for DM Distribution." Advances in Military Technology 17, no. 2 (October 21, 2022): 325–39. http://dx.doi.org/10.3849/aimt.01463.

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The article discusses the mathematical model of technical condition-based maintenance of weapon systems. The model his developed based on a semi-Markov stochastic process. The diffusion-monotonic (DM) distribution law, which is specific for airfield technical condition-based maintenance of aircraft, is has been used as a failure model, and type I errors are considered. For standard operating conditions, graphs of the dependence of the coefficient of technical use and specific costs per hour of operation in good condition from the basic parameters are shown. The optimal maintenances interval ensuring maximum maintenance coefficient value has been proved. The principal results have been achieved by using multiple calculation method.

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Hobbs, Alan, Ann Williamson, and Hans P. A. Van Dongen. "A CIRCADIAN RHYTHM IN SKILL-BASED ERRORS IN AVIATION MAINTENANCE." Chronobiology International 27, no. 6 (July 2010): 1304–16. http://dx.doi.org/10.3109/07420528.2010.484890.

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Hobbs, Alan, and Ann Williamson. "Skills, rules and knowledge in aircraft maintenance: errors in context." Ergonomics 45, no. 4 (March 2002): 290–308. http://dx.doi.org/10.1080/00140130110116100.

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Rashid, H. S. J., C. S. Place, and G. R. Braithwaite. "Eradicating root causes of aviation maintenance errors: introducing the AMMP." Cognition, Technology & Work 16, no. 1 (September 2, 2012): 71–90. http://dx.doi.org/10.1007/s10111-012-0245-4.

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Chang, Xiaomeng, Janis Terpenny, and Patrick Koelling. "Reducing errors in the development, maintenance and utilisation of ontologies." International Journal of Computer Integrated Manufacturing 23, no. 4 (March 24, 2010): 341–52. http://dx.doi.org/10.1080/09511921003642105.

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Yang, Fan, Songlin Liu, Yijun Lai, Jiayuan Hu, and Shaohua Wang. "An Improved Magnetic Field Method to Locate the Grounding Conductor." Sensors 23, no. 8 (April 11, 2023): 3879. http://dx.doi.org/10.3390/s23083879.

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The location of the grounding grid conductors is critical for performing corrosion diagnosis and maintenance work. An improved magnetic field differential method to locate the unknown grounding grid based on truncation errors and the round-off errors analysis is presented in this paper. It was proven that a different order of the magnetic field derivative can be used to determine the position of the grounding conductor according to the peak value of the derivative. Due to the accumulative error of higher differentiation, the truncation error and rounding error were used to analyze to accumulative error and to determine the optimal step size to measure and calculate the higher differentiation. The possible range and probability distribution of the two kinds of errors at each order are described, and the index of peak position error was derived, which can be used to locate the grounding conductor in the power substation.

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Rybalkina, Alexandra, and Ruslan Enikeev. "Fatigue management methodology in aircraft maintenance as a way of reducing errors related to the human factor." MATEC Web of Conferences 341 (2021): 00006. http://dx.doi.org/10.1051/matecconf/202134100006.

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Maintenance staff fatigue is one of the key factors contributing to the occurrence of errors in the maintenance. The problem of maintenance staff fatigue is a serious challenge for aircraft maintenance organizations, and its solution is directly related to the impact on flight safety. The authors consider the issues of the fatigue effect on the maintenance staff performance and related consequences. The article provides the results of the maintenance staff fatigue research, obtained through a survey of one of the organizations` employees. According to the survey, errors are the most likely outcome of work in a state of fatigue in aircraft maintenance. The obtained results made it necessary to develop a methodology for managing maintenance staff fatigue in aircraft maintenance. The methodology is based on a questionnaire, where the respondents are asked to answer questions regarding their state of fatigue, and fatigue assessment criteria. The assessment results make it possible to develop the necessary corrective and preventive measures, including the privilege limitation and suspension to perform maintenance tasks.

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Paramanantham, Shampave, and Sidath Liyanage. "Assessing the Impact of Human Error Assessment on Organization Performance in the Software Industry." International Journal of Information Systems and Social Change 14, no. 1 (January 1, 2023): 1–32. http://dx.doi.org/10.4018/ijissc.314563.

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The influence of human errors on organizations is wide-ranging concerning customer service, productivity, teamwork, quality, execution, decision-making, and loss (Irmi.com, 2018). When the employee makes an error, this may prompt an operational failure, effectively affecting whatever is being assessed. There is a commonly accepted connection between human errors and organizational performance. However, the theory is all hypothesis without confirmation since there is minimal literature writing in this research. Data was gathered from 365 employees of IT export companies in Sri Lanka. 5 people working as project managers in IT export companies were interviewed to get their opinion about human errors. The findings show that human errors such as skill-based, design, quality testing, and maintenance errors can significantly influence performance outcomes, namely sales growth, return on investment, customer satisfaction, innovation development, and product and service quality.

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Sabapathypillai, Sharon, Monica Perlmutter, Manik Goel, Bradley Wilsone Gordon, and Anjali Bhorade. "20201 Validating an in-car telemetry system for detecting frequency and severity of driving errors in patients with glaucoma." Journal of Clinical and Translational Science 5, s1 (March 2021): 29. http://dx.doi.org/10.1017/cts.2021.479.

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ABSTRACT IMPACT: The car telemetry system may be an ideal method to accurately and reliably evaluate and compare at-risk driving errors between older drivers with and without glaucoma. OBJECTIVES/GOALS: Our project aims to determine whether an in-car telemetry system used during an on-road driving evaluation can accurately and reliably evaluate driving errors in lane maintenance and visual scanning and objectively quantify the frequency and severity of these errors in glaucoma patients. METHODS/STUDY POPULATION: This is a single center, cross-sectional study of 180 participants (125 with glaucoma and 55 controls), ages 55 or older, who underwent a comprehensive clinical assessment, including vision, cognition, motor function, followed by an on-road evaluation by a trained occupational therapist. Driving errors were recorded through a dual method including: 1. An in-car trained occupational therapist 2. In-car telemetry system. The frequency and severity of errors in lane maintenance and visual scanning from the in-car telemetry will be assessed and compared between participants with varying severity of glaucoma and normal controls. In addition, we will compare the frequency and severity of errors in lane maintenance and visual scanning to those recorded by the in-car driving evaluator. RESULTS/ANTICIPATED RESULTS: We anticipate (or predict) that the in- car telemetry system will be able to detect frequency and severity of driving errors in lane maintenance and visual scanning in glaucoma participants. We also predict that participants with worsening glaucoma severity will commit more driving errors. In addition, the in-car telemetry will detect a similar frequency and severity of driving errors as the in-car driving evaluator. DISCUSSION/SIGNIFICANCE OF FINDINGS: The type and frequency of vision-related driving errors that place individuals at risk for a car accident is not well known. Without this critical information, it is extremely challenging to help older adults with glaucoma to be safe drivers.

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Ng, Man-wa, and Simon Y. W. Li. "An analysis of aircraft maintenance incidents using psychological and cognitive engineering knowledge." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 1676–80. http://dx.doi.org/10.1177/1541931213601386.

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The aim of the current analysis is to complement existing studies of aircraft maintenance incidents by providing finer and more detailed explanations for their causes in terms of task and error types. A total of 109 aircraft maintenance incidents were analyzed with respect to knowledge and concepts from psychology and cognitive engineering. The skill, rule and knowledge-based framework by Rasmussen (1983) was used to identify the main task types involved in the incidents. Error types such as post-completion error, prospective memory failure and data-entry error were used as part of the analysis. System usability and the occurrence of interruptions, distractions and multitasking were also adopted as important factors in the analysis. Results suggest that more than 60% of the incidents involved rule-based performance. Almost 50% of the rule-based incidents can be explained in terms of the errors types and factors identified. This analysis provides a starting point for practitioners to discuss aircraft maintenance incidents using theoretically grounded concepts.

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Samsurizal, Samsurizal, Faber Agustinus G. Siagian, and Andi Makkulau. "Kajian Dampak Ketidaknormalan Meter Elektronik Pada Sistem Automatic Meter Reading Pada Pelanggan Tegangan Rendah." Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) 6, no. 2 (June 30, 2021): 105. http://dx.doi.org/10.33772/jfe.v6i2.17925.

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PT. PLN (Persero) as an lsitrik energy provider has the task of checking and measuring the use of electricity used by customers. In this case of course requires technology to be able to read how much electrical energy is used, one of the technologies used is Automatic Meter Reading (AMR). The use of Automatic Meter Reading (AMR) system includes monitoring, recording the stand meter then the data can be displayed in the form of a report with data software used management. Electronic meters using AMR systems can be used as a detection tool against irregularities from troubled customers. The readings obtained from AMR are known to the customer's usage, moments before the maintenance error and after. So that it can accurately detect customers who occur maintenance errors and customers and PLN both know the amount of uncollectible kWh, so far the nursing has been impaired by maintenance errors from the beginning of the tide. Based on existing data AMR should not be worth kWh value, but with the error of maintenance in phase S kWh measurable import that will be calculated to obtain a follow-up bill. The result obtained is true there is an inverted phase, it is shown in the fasor diagram where the angle of phase S which was originally 168.30 to 14.40. So that in the stand meter becomes minus the impact due to the mistake of maintenance obtained follow-up bill is 41538.8 kWh equivalent to Rp. 60.949.050,- after calculation. It shows the impact that occurs due to the mismanagement of the follow-up bill that must be borne

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Thomas, Benjamin, Hao Shi, Anthony Chow, and Julian Surujballi. "Reducing medication errors." University of Western Ontario Medical Journal 85, no. 2 (November 6, 2016): 13–15. http://dx.doi.org/10.5206/uwomj.v85i2.2213.

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Hospital readmissions place a heavy burden on healthcare in Canada. Communication errors often occur at vulnerable time points like peridischarge, and these can lead to downstream adverse drug events necessitating rehospitalization. Existing mechanisms to address this problem still have room for improvement. Discharge summaries, for example, may be late, erroneous, or incomplete. Medication reconciliation processes directly integrated with electronic medical records have demonstrated advantages in terms of legibility and timeliness but unfortunately encourage risky behaviours like indiscriminate copy and pasting, leading to new errors of a different sort. A single unified medication list that could be kept on a patient’s person at all times can ensure that medication information is always present at medical appointments and is synchronously updated among all involved practitioners. Near-field communications (NFC) may facilitate the creation and maintenance of such a list. It is a relatively new wireless technology that has advantages over radio-frequency identification and Bluetooth. It allows information to be recorded to and read from objects as small and thin as a sticker. Technologies based on NFC may prove useful for consolidation patient health information into “one source of truth”.

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Et. al., C. S. Karunakaran ,. "Reliability Augmentation through Technological Applications in Indian Aircraft Maintenance Training sector." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 11 (May 12, 2021): 1964–70. http://dx.doi.org/10.17762/turcomat.v12i11.6151.

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The paper focuses on the technological needs in Indian aircraft maintenance training sector towards reducing the human errors and to enhance the maintenance reliability. An overview of Indian MRO s’ skill requirements and the immediate necessity to improve the standards in maintenance human factors and technology based training is elaborated. The existing level of Indian AMT training in comparison to international standards are discussed to spot the areas with scope of improvement and the weak link in existing process. Need of maintenance training with intense knowledge and practical exposure can downturn maintenance errors and aid in cutting cost of the maintenance expenditure by increasing reliability were discussed. Impact of Computerised Maintenance Management System (CMMS), in augmenting current maintenance performance and its importance in terms of efficient operation and Labour maintenance were reviewed. Technology identification to address the need for improvement in traditional training, using the applications of Virtual Reality (VR) and Augmented Reality (AR) in maintenance training would equip the Aircraft Maintenance Trainees (AMT’s) with complete knowledge and practice were analysed. This view point can be a thought provoking research to evaluate a right road map for improving the current Indian aircraft maintenance training sector to global standards resulting in optimising the state of India’s MRO self-reliance ability.

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Msetfi, Rachel M., Robin A. Murphy, Diana E. Kornbrot, and Jane Simpson. "Short article: Impaired context maintenance in mild to moderately depressed students." Quarterly Journal of Experimental Psychology 62, no. 4 (April 2009): 653–62. http://dx.doi.org/10.1080/17470210802486092.

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We test the hypothesis that people with depression experience difficulties in maintaining task-relevant context information over longer periods of time using the AX version of the continuous performance task (AX-CPT). The AX-CPT requires that participants maintain a context cue (A) in an active state in order to respond correctly to a target cue (X) presented after a short delay. A total of 40 nondepressed and mild to moderately depressed students completed versions of the task with short (1-s) or long (10-s) interstimulus intervals (ISIs). Mildly depressed participants made significantly more context-dependent (BX) errors, unlike controls who made more errors on trials where good context processing would impair performance (AY). This pattern of errors was only evident in the long ISI condition, suggesting poor maintenance of contextual information.

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To, Suet, Hao Wang, Bing Li, and Chi Fai Cheung. "An Empirical Approach for Identification of Sources of Machining Errors in Ultra-Precision Raster Milling." Key Engineering Materials 364-366 (December 2007): 986–91. http://dx.doi.org/10.4028/www.scientific.net/kem.364-366.986.

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Ultra-precision raster milling is one of the most significant techniques for the fabrication of high precision components with the surface roughness less than 10nm and form errors less than 0.2 um, without the need for any subsequent polishing. However, no matter how well a machine may be designed, there is a limit to the accuracy that can be achieved. This paper studies the machining errors caused by the diamond tool and the axis motions using Freeform 705G. With an empirical approach, the error sources are separated based on their effects on the surface finish. The main source leading to poor surface finish is identified. This establishes a basis for subsequent error compensation and equipment maintenance.

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Torres-Contreras, Ignacio, Juan Carlos Jáuregui-Correa, Carlos Santiago López-Cajún, and Salvador Echeverría-Villagómez. "Effects of Phase Shift Errors in Recurrence Plot for Rotating Machinery Fault Diagnosis." Applied Sciences 11, no. 2 (January 19, 2021): 873. http://dx.doi.org/10.3390/app11020873.

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For fault diagnosis and predictive maintenance of rotating machinery, the phase errors generated by the integration processing of a vibration signal are an essential investigation subject. Phase errors affect the solution of mechanical systems with multiple vibration sources and also the information transmitted through the vibration that is used for fault diagnosis. This work proposes the use of phase plane, recurrence plot (RP), and cross recurrence plot (CRP) to evaluate phase shift error effects on the solution of multiple asynchronous and simple periodic functions, and on the smoothing of a Gaussian peak with white noise. Noisy peaks were smoothed twice with the triangular method and with a different number of points. The analysis of the asynchronous periodic functions and the smoothing indicated that a small phase shift changes the phase plane and the RP pattern. These changes can affect not only the accuracy of machinery fault diagnosis but also prediction for the application of timely maintenance actions.

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Mbembati, Hadija, Kwame Ibwe, and Baraka Maiseli. "Maintenance Automation Architecture and Electrical Equipment Fault Prediction Method in Tanzania Secondary Distribution Networks." Tanzania Journal of Science 47, no. 3 (August 15, 2021): 1138–53. http://dx.doi.org/10.4314/tjs.v47i3.23.

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Distribution networks remain the most maintenance-intensive parts of power systems. The implementation of maintenance automation and prediction of equipment fault can enhance system reliability while reducing the overall costs. In Tanzania, however, maintenance automation has not been deployed in secondary distribution networks (SDNs). Instead, traditional methods are used for condition prediction and fault identification of power assets (transformers and power lines). These (manual) methods are costly and time-consuming, and may introduce human-related errors. Motivated by these challenges, this work introduces maintenance automation into the network architecture by implementing effective maintenance and fault identification methods. The proposed method adopts machine learning techniques to develop a novel system architecture for maintenance automation in the SDN. Experimental results showed that different transformer prediction methods, namely support vector machine, kernel support vector machine, and multi-layer artificial neural network, give performance values of 96.72%, 97.50%, and 97.53%, respectively. Furthermore, oil based performance analysis was done to compare the existing methods with the proposed method. Simulation results showed that the proposed method can accurately identify up to ten transformer abnormalities. These results suggest that the proposed system may be integrated into a maintenance scheduling platform to reduce unplanned maintenance outages and human maintenance-related errors. Keywords: Predictive maintenance; fault identification; fault prediction; maintenance automation; secondary electrical distribution network

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Wu, Wen-Chung, and Van-Hoan Vu. "Application of Virtual Reality Method in Aircraft Maintenance Service—Taking Dornier 228 as an Example." Applied Sciences 12, no. 14 (July 20, 2022): 7283. http://dx.doi.org/10.3390/app12147283.

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Flight safety and airlines operation have been at the center of research since aircraft were first invented, as even slight errors in aircraft maintenance may cause serious accidents. Thus, aircraft maintenance is critical to the aviation industry all the time. To prevent maintenance errors, it is important to train for aviation maintenance. Therefore, an aircraft maintenance virtual reality (AMVR) system was developed in this study. For a Dornier-228 aircraft, a walk-around visual inspection of its fuel system was designed and tested in a virtual environment. For the system, CATIA V5 and Unity 3D software were used for designing the 3D model of the aircraft and developing the visual environment, respectively. With the software, the visual environment of the aircraft hangar was created for the system. The developed system was tested by students to validate the effectiveness of using the AMVR system in training. The students acknowledged that the system was beneficial to their learning, which proved that the developed system is highly effective for training students to improve aircraft maintenance skills.

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Schwan, H., and R. Wielen. "Maintenance of the ICRS - Statistical Treatment." Highlights of Astronomy 11, no. 1 (1998): 326–28. http://dx.doi.org/10.1017/s153929960002089x.

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In this paper we briefly describe the influence of astrometric binaries on derived proper motions and we draw some conclusions with respect to the reference systems. For more details the reader is referred to Wielen (1997) and Wielen et al. (1997).Increased measurement accuracy determines not only the derived parameters with much more precision, but it may even allow one to describe new phenomena, which were of no importance before. This happened in the case of the highly precise Hipparcos measurements (ESA, 1997) which were able to determine stellar proper motions within less than four years with an accuracy comparable with the best proper motions available from ground-based observations as given in the FK5 (Fricke et al. 1988). The basic difference between the Hipparcos and the FK5 proper motions showed up within our task of validating the Hipparcos proper motions during the reduction process. Our main result was that the dispersion of the residual differences between both proper motions was about three times as large compared with the error estimates expected from the data given in the catalogues. Since it was rather unlikely that one of the two catalogues had so strongly underestimated its errors, we looked for other reasons to explain the discrepancy. For many of the stars with the largest differences between the Hipparcos and FK5 proper motions, information on their duplicity was found in the literature. We thus suspected that the influence of astrometric binaries to be responsible for the discrepancy.

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Peñaloza, Rafael. "Error-Tolerance and Error Management in Lightweight Description Logics." KI - Künstliche Intelligenz 34, no. 4 (July 24, 2020): 491–500. http://dx.doi.org/10.1007/s13218-020-00684-5.

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AbstractThe construction and maintenance of ontologies is an error-prone task. As such, it is not uncommon to detect unwanted or erroneous consequences in large-scale ontologies which are already deployed in production. While waiting for a corrected version, these ontologies should still be available for use in a “safe” manner, which avoids the known errors. At the same time, the knowledge engineer in charge of producing the new version requires support to explore only the potentially problematic axioms, and reduce the number of exploration steps. In this paper, we explore the problem of deriving meaningful consequences from ontologies which contain known errors. Our work extends the ideas from inconsistency-tolerant reasoning to allow for arbitrary entailments as errors, and allows for any part of the ontology (be it the terminological elements or the facts) to be the causes of the error. Our study shows that, with a few exceptions, tasks related to this kind of reasoning are intractable in general, even for very inexpressive description logics.

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Jo, Geun-Sik, Kyeong-Jin Oh, Inay Ha, Kee-Sung Lee, Myung-Duk Hong, Ulrich Neumann, and Suya You. "A Unified Framework for Augmented Reality and Knowledge-Based Systems in Maintaining Aircra." Proceedings of the AAAI Conference on Artificial Intelligence 28, no. 2 (July 27, 2014): 2990–97. http://dx.doi.org/10.1609/aaai.v28i2.19023.

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Aircraft maintenance and training play one of the most important roles in ensuring flight safety. The maintenance process usually involves massive numbers of components and substantial procedural knowledge of maintenance procedures. Maintenance tasks require technicians to follow rigorous procedures to prevent operational errors in the maintenance process. In addition, the maintenance time is a cost-sensitive issue for airlines. This paper proposes intelligent augmented reality (IAR) system to minimize operation errors and time-related costs and help aircraft technicians cope with complex tasks by using an intuitive UI/UX interface for their maintenance tasks. The IAR system is composed mainly of three major modules: 1) the AR module 2) the knowledge-based system (KBS) module 3) a unified platform with an integrated UI/UX module between the AR and KBS modules. The AR module addresses vision-based tracking, annotation, and recognition. The KBS module deals with ontology-based resources and context management. Overall testing of the IAR system is conducted at Korea Air Lines (KAL) hangars. Tasks involving the removal and installation of pitch trimmers in landing gear are selected for benchmarking purposes, and according to the results, the proposed IAR system can help technicians to be more effective and accurate in performing their maintenance tasks.

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Kancler, David E., Laurie L. Quill, Allen R. Revels, Robert R. Webb, and Barbara L. Masquelier. "Reducing Cannon Plug Connector Pin Selection Time and Errors Through Enhanced Data Presentation Methods." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 18 (October 1998): 1286–90. http://dx.doi.org/10.1177/154193129804201802.

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This research investigated the effects of data presentation formats on technician performance when maintenance procedures are presented on a monocular, head-mounted display (HMD). The maintenance task was a continuity check performed by identifying, selecting, and testing pairs of cannon plug connector pins. Two formats were used to present task procedure information to the subject: a format that mimicked the standard technical procedure manual, including the textual and graphical characteristics; a format which provided the same information as the first, while adding visual cues to the graphical portion of the technical information. Two types of cannon plugs were used: ‘few-pin’ plugs (12 and 13 pins) and ‘many-pin’ plugs (55 and 79 pins). United States Air Force (USAF) avionics maintenance technicians stationed atBarksdale Air Force Base, Louisiana served as subjects. Dependent measures were: task completion time, task error rate, and subjective reports on the usability of the information presentation structure and the HMD. Results indicate that in general, technicians perform tasks more quickly and commit fewer errors when using enhanced graphical data presentation methods. Technicians indicated via post test questionnaire that such data formats, and HMDs in general, could be a useful tool in the performance of their maintenance duties.

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Wambaugh, Julie L., Michelene M. Kalinyak-Fliszar, Joan E. West, and Patrick J. Doyle. "Effects of Treatment for Sound Errors in Apraxia of Speech and Aphasia." Journal of Speech, Language, and Hearing Research 41, no. 4 (August 1998): 725–43. http://dx.doi.org/10.1044/jslhr.4104.725.

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This investigation was designed to examine the acquisition, generalization, and maintenance effects of a treatment for sound errors in speakers with co-occurring apraxia of speech and aphasia. Three speakers with chronic apraxia of speech and aphasia were studied in the context of a multiple baseline design across speakers and behaviors. Treatment combined the use of minimal contrast pairs with traditional sound production training techniques such as integral stimulation and articulatory placement cueing and was applied sequentially to sounds that were determined to be consistently in error before training. Results revealed increased correct sound productions for all speakers in trained and untrained words. Response generalization effects across sounds and stimulus generalization effects varied, but appeared to be limited for most speakers. Although positive maintenance effects were evidenced, some loss of treatment gains was noted following cessation of treatment.

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Karimpour, Mostafa, Lalith Hitihamillage, Najwa Elkhoury, Sara Moridpour, and Reyhaneh Hesami. "Fuzzy Approach in Rail Track Degradation Prediction." Journal of Advanced Transportation 2018 (2018): 1–7. http://dx.doi.org/10.1155/2018/3096190.

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Rail transport authorities around the world have been facing a significant challenge when predicting rail infrastructure maintenance work. With the restrictions on financial support, the rail transport authorities are in pursuit of improved modern methods, which can provide a precise prediction of rail maintenance timeframe. The expectation from such a method is to develop models to minimise the human error that is strongly related to manual prediction. Such models will help rail transport authorities in understanding how the track degradation occurs at different conditions (e.g., rail type, rail profile) over time. They need a well-structured technique to identify the precise time when rail tracks fail to minimise the maintenance cost/time. The rail track characteristics that have been collected over the years will be used in developing a degradation prediction model for rail tracks. Since these data have been collected in large volumes and the data collection is done both electronically and manually, it is possible to have some errors. Sometimes these errors make it impossible to use the data in prediction model development. An accurate model can play a key role in the estimation of the long-term behaviour of rail tracks. Accurate models can increase the efficiency of maintenance activities and decrease the cost of maintenance in long-term. In this research, a short review of rail track degradation prediction models has been discussed before estimating rail track degradation for the curves and straight sections of Melbourne tram track system using Adaptive Network-based Fuzzy Inference System (ANFIS) model. The results from the developed model show that it is capable of predicting the gauge values with R2 of 0.6 and 0.78 for curves and straights, respectively.

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DREZNER, DANIEL. "State structure, technological leadership and the maintenance of hegemony." Review of International Studies 27, no. 1 (January 2001): 003–25. http://dx.doi.org/10.1017/s0260210501000031.

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The importance of technological innovation to economic growth and state power is generally acknowledged in international relations. Less attention has been paid to the state's precise role in fostering innovation. This article argues that, contrary to realism, a centralized state is ill-suited to fostering innovation, particularly for technological leaders. Centralized states are more likely to make errors in crafting policy, and those errors cannot be reversed at the regional or local level. Decentralized states are better suited for the required tasks in fostering innovation. These hypotheses are tested against the Anglo–German rivalry for technological leadership in the late nineteenth century, and the US–Japanese rivalry of the last twenty years. In both cases the more centralized regime—Great Britain and Japan—faltered after initial successes. This suggests a tension within great powers. Policymakers prefer a strong, centralized state to facilitate policymaking. However, the evidence suggests that a decentralized state structure is a necessary condition for states to sustain themselves at the technological frontier.

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Journal articles on the topic 'Maintenance errors'

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