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Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 травня 2022

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Статті в журналах з теми "Physical-statistical model of reliability"

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Rajeevan, A. K., P. V. Shouri, and Usha Nair. "A Reliability Based Model for Wind Turbine Selection." International Journal of Renewable Energy Development 2, no. 2 (June 17, 2013): 69–74. http://dx.doi.org/10.14710/ijred.2.2.69-74.

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A wind turbine generator output at a specific site depends on many factors, particularly cut- in, rated and cut-out wind speed parameters. Hence power output varies from turbine to turbine. The objective of this paper is to develop a mathematical relationship between reliability and wind power generation. The analytical computation of monthly wind power is obtained from weibull statistical model using cubic mean cube root of wind speed. Reliability calculation is based on failure probability analysis. There are many different types of wind turbinescommercially available in the market. From reliability point of view, to get optimum reliability in power generation, it is desirable to select a wind turbine generator which is best suited for a site. The mathematical relationship developed in this paper can be used for site-matching turbine selection in reliability point of view.
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Si, Wujun, Qingyu Yang, and Xin Wu. "A physical–statistical model of overload retardation for crack propagation and application in reliability estimation." IIE Transactions 48, no. 4 (September 22, 2015): 347–58. http://dx.doi.org/10.1080/0740817x.2015.1078525.

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Kim, Youngjoo, Okjoo Choi, Moonzoo Kim, Jongmoon Baik, and Tai-Hyo Kim. "Validating Software Reliability Early through Statistical Model Checking." IEEE Software 30, no. 3 (May 2013): 35–41. http://dx.doi.org/10.1109/ms.2013.24.

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Saccomanno, F. F., S. A. Nassar, and J. H. Shortreed. "Reliability of Statistical Road Accident Injury Severity Models." Transportation Research Record: Journal of the Transportation Research Board 1542, no. 1 (January 1996): 14–23. http://dx.doi.org/10.1177/0361198196154200103.

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The reliability of different statistical road accident severity models is assessed using a number of criteria, such as goodness of fit, robustness of risk factor coefficients, and intuitive acceptability and consistency of output. The results of this analysis suggest that model reliability is not sensitive to the number of injury classes specified in the model or to the level of model aggregation. All models consistently identified the same risk factors as explaining most of the variation in injury experience in the data. These factors are (a) dynamics of the accident, (b) seating position of occupant, (c) use of seat belts, and (d) age of occupant involved. There is no indication that a significant transfer of error takes place from one severity level to another in a sequential model structure. The results suggest that reliability of statistical road accident severity models depends primarily on the accuracy of information provided in the accident data.
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Zambon, Ivan, Anja Vidović, and Alfred Strauss. "Reliability of Existing Concrete Structures Determined with Physical Models - Carbonation Induced Corrosion." Solid State Phenomena 259 (May 2017): 255–60. http://dx.doi.org/10.4028/www.scientific.net/ssp.259.255.

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The main goal of transportation infrastructure management is to optimize the use of infrastructure in the most beneficiary way while respecting the predefined requirements. One of the crucial parts in management strategy is the prediction of behaviour of vital transportation elements. Used prediction models should accurately describe the process of degradation and allow forecasting of structural condition by considering environment, usage and maintenance actions. Deterioration models can be divided into mathematical (statistical), physical and empirical models. Statistical models are based on data that describe condition of structure, such as for example condition rating. Physical models describe damage-causing processes and empirical models are experience based. The focus of this paper is to present the physical model of carbonation in assessment of performance of existing reinforced concrete structures in transportation networks. Assessment is done through determining the probability of limit state of depassivation. In order to determine the carbonation without testing, a special attention has to be given to environmental and material parameter identification. Herein, the identification takes into account weather specifics and construction practice in Austria. Finally, the reliability of existing reinforced concrete structures for combination of different exposure classes and material characteristics is analysed. Based on the analysis of reliability, the carbonation nomogram for engineering use is presented, showing the reliability indices β for the service life of 50 years.
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VanDerHorn, Eric, and Sankaran Mahadevan. "Bayesian model updating with summarized statistical and reliability data." Reliability Engineering & System Safety 172 (April 2018): 12–24. http://dx.doi.org/10.1016/j.ress.2017.11.023.

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Ding, Jie, and Asen Asenov. "Reliability-Aware Statistical BSIM Compact Model Parameter Generation Methodology." IEEE Transactions on Electron Devices 67, no. 11 (November 2020): 4777–83. http://dx.doi.org/10.1109/ted.2020.3026614.

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Chen, Chunhong, and Yanjie Mao. "A Statistical Reliability Model for Single-Electron Threshold Logic." IEEE Transactions on Electron Devices 55, no. 6 (June 2008): 1547–53. http://dx.doi.org/10.1109/ted.2008.922856.

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Agustin, Marcus A. "Statistical properties of a system reliability estimator using the Littlewood software reliability model." Journal of Applied Probability 40, no. 03 (September 2003): 766–78. http://dx.doi.org/10.1017/s0021900200019690.

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This paper considers a competing risks system withppieces of software where each piece follows the model by Littlewood (1980) described as follows. The failure rate of a piece of software relies on the residual number of bugs remaining in the software where each bug produces failures at varying rates. In effect, bugs with higher failure rates tend to be observed earlier in the testing period. Tasks are assigned to the system and the task completion times as well as the software failure times are assumed to be independent of each other. The system is observed over a fixed testing period and the system reliability upon test termination is examined. An estimator of the system reliability is presented and its asymptotic properties as well as finite-sample properties are obtained.
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Agustin, Marcus A. "Statistical properties of a system reliability estimator using the Littlewood software reliability model." Journal of Applied Probability 40, no. 3 (September 2003): 766–78. http://dx.doi.org/10.1239/jap/1059060901.

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This paper considers a competing risks system with p pieces of software where each piece follows the model by Littlewood (1980) described as follows. The failure rate of a piece of software relies on the residual number of bugs remaining in the software where each bug produces failures at varying rates. In effect, bugs with higher failure rates tend to be observed earlier in the testing period. Tasks are assigned to the system and the task completion times as well as the software failure times are assumed to be independent of each other. The system is observed over a fixed testing period and the system reliability upon test termination is examined. An estimator of the system reliability is presented and its asymptotic properties as well as finite-sample properties are obtained.
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Дисертації з теми "Physical-statistical model of reliability"

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Kim, Seong W. "Bayesian model selection using intrinsic priors for commonly used models in reliability and survival analysis /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9841159.

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Brownstein, Naomi. "Estimation and the Stress-Strength Model." Honors in the Major Thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1160.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.
Bachelors
Sciences
Mathematics
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Bakouros, Y. L. "Offshore pipeline reliability prediction : An assessment of the breakdown characteristics of offshore pipelines and the development of a statistical technique to improve their reliability prediction with particular reference." Thesis, University of Bradford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233657.

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Moberg, Pontus, and Filip Svensson. "Cost Optimisation through Statistical Quality Control : A case study on the plastic industry." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21922.

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Background. Shewhart was the first to describe the possibilities that come with having a statistically robust process in 1924. Since his discovery, the importance of a robust process became more apparent and together with the consequences of an unstable process. A firm with a manufacturing process that is out of statistical control tends to waste money, increase risks, and provide an uncertain quality to its customers. The framework of Statistical Quality Control has been developed since its founding, and today it is a well-established tool used in several industries with successful results. When it was first thought of, complicated calculations had to be performed and was performed manually. With digitalisation, the quality tools can be used in real-time, providing high-precision accuracy on the quality of the product. Despite this, not all firms nor industries have started using these tools as of today.    The costs that occur in relation to the quality, either as a consequence of maintaining good quality or that arises from poor quality, are called Cost of Quality. These are often displayed through one of several available cost models. In this thesis, we have created a cost model that was heavily inspired by the P-A-F model. Several earlier studies have shown noticeable results by using SPC, COQ or a combination of them both.     Objectives. The objective of this study is to determine if cost optimisation could be utilised through SQC implementation. The cost optimisation is a consequence of an unstable process and the new way of thinking that comes with SQC. Further, it aims to explore the relationship between cost optimisation and SQC. Adding a layer of complexity and understanding to the spread of Statistical Quality Tools and their importance for several industries. This will contribute to tightening the bonds of production economics, statistical tools and quality management even further.   Methods. This study made use of two closely related methodologies, combining SPC with Cost of Quality. The combination of these two hoped to demonstrate a possible cost reduction through stabilising the process. The cost reduction was displayed using an optimisation model based on the P-A-F (Prevention, Appraisal, External Failure and Internal Failure) and further developed by adding a fifth parameter for optimising materials (OM). Regarding whether the process was in control or not, we focused on the thickness of the PVC floor, 1008 data points over three weeks were retrieved from the production line, and by analysing these, a conclusion on whether the process was in control could be drawn.    Results. Firstly, none of the three examined weeks were found to be in statistical control, and therefore, nor were the total sample. Through the assumption of the firm achieving 100% statistical control over their production process, a possible cost reduction of 874 416 SEK yearly was found.    Conclusions. This study has proven that through focusing on stabilising the production process and achieving control over their costs related to quality, possible significant yearly savings can be achieved. Furthermore, an annual cost reduction was found by optimising the usage of materials by relocating the ensuring of thickness variation from post-production to during the production.
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Matthews, Robert. "The Reliability and Validity of a Simulated Airway Model that Quantifies Physical Forces Exerted During Endotracheal Intubation in a Clinically Demanding Scenario." VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/2466.

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The main purpose of this research was the development of an experimental model that allows for the assessment of pressure and thereby, the forces associated with interventions related to airway management. The foundation of this research was to develop, and assess the validity and reliability, of a method of quantifying the force experienced by a patient during airway management. Following IRB approval and the development of a unique simulation model that employs transducers situated in key anatomical locations to determine forces, a multivariate profile analysis with covariate of experience using a MANCOVA approach was conducted. The statistical design consisted of 102 subjects testing the dependent measure of pressure for the following techniques: Fiberoptic intubation, the Fastrach™ LMA, the # 3 C-Mac video laryngoscope, and the Trachlight®. Independent variables analyzed were practitioner types: emergency medicine physicians, certified registered nurse anesthetists, and anesthesiologists, all tested over five locations: Chicago, Las Vegas, Atlanta, Seattle, and Boston, with a co-variable of experience. Analysis demonstrated no difference in force attributed to the location, the airway provider or their interactions. This was contrasted by the finding that 81% of the variance in pressure scores was due to differences in airway techniques. The mannequin was also able to discern a subpopulation within techniques which lends to its validity. The mannequin preformed consistently regarding reproducible findings following the setup and dismantling over time and locations. This would seem to begin to form the bases of a valid and reliable tool for this and future research.
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林達明 and Daming Lin. "Reliability growth models and reliability acceptance sampling plans from a Bayesian viewpoint." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1995. http://hub.hku.hk/bib/B3123429X.

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Carstens, Wiehahn Alwyn. "Regression analysis of caterpillar 793D haul truck engine failure data and through-life diagnostic information using the proportional hazards model." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/20333.

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Thesis (MScEng)--Stellenbosch University, 2012.
ENGLISH ABSTRACT: Physical Asset Management (PAM) is becoming a greater concern for companies in industry today. The widely accepted British Standards Institutes’ specification for optimized management of physical assets and infrastructure is PAS55. According to PAS55, PAM is the “systematic and co-ordinated activities and practices through which an organization optimally manages its physical assets, and their associated performance, risks and expenditures over their life cycle for the purpose of achieving its organizational strategic plan”. One key performance area of PAM is Asset Care Plans (ACP). These plans are maintenance strategies which improve or ensure acceptable asset reliability and performance during its useful life. Maintenance strategies such as Condition Based Maintenance (CBM) acts upon Condition Monitoring (CM) data, disregarding the previous failure histories of an asset. Other maintenance strategies, such as Usage Based Maintenance (UBM), is based on previous failure histories, and does not consider CM data. Regression models make use of both CM data and previous failure histories to develop a model which represents the underlying failure behaviour of the asset under study. These models can be of high value in ACP development due to the fact that Residual Useful Life (RUL) can be estimated and/or the long term life cycle cost can be optimized. The objective of this thesis was to model historical failure data and CM data well enough so that RUL or optimized preventive maintenance instant estimations can be made. These estimates were used in decision models to develop maintenance schedules, i.e. ACPs. Several regression models were evaluated to determine the most suitable model to achieve the objectives of this thesis. The model found to be most suitable for this research project was the Proportional Hazards Model (PHM). A comprehensive investigation on the PHM was undertaken focussing on the mathematics and the practical implementation thereof. Data obtained from the South African mining industry was modelled with the Weibull PHM. It was found that the developed model produced estimates which were accurate representations of reality. These findings provide an exciting basis for the development of futureWeibull PHMs that could result in huge maintenance cost savings and reduced failure occurrences.
AFRIKAANSE OPSOMMING: Fisiese Bate Bestuur (FBB) is besig om ’n groter bekommernis vir maatskappye in die bedryf te word. Die Britse Standaarde Instituut se spesifikasie vir optimale bestuur van fisiese bates en infrastruktuur is PAS55. Volgens PAS55 is FBB die “sistematiese en gekoördineerde aktiwiteite en praktyke wat deur ’n organisasie optimaal sy fisiese bates, hul verwante prestasie, risiko’s en uitgawes vir die doel van die bereiking van sy organisatoriese strategiese plan beheer oor hul volle lewensiklus te bestuur”. Een Sleutel Fokus Area (SFA) van FBB is Bate Versorgings Plan (BVP) ontwikkeling. Hierdie is onderhouds strategieë wat bate betroubaarheid verbeter of verseker tydens die volle bruikbare lewe van die bate. Een onderhoud strategie is Toestands Gebasseeerde Onderhoud (TGO) wat besluite baseer op Toestand Monitering (TM) informasie maar neem nie die vorige falingsgeskiedenis van die bate in ag nie. Ander onderhoud strategieë soos Gebruik Gebasseerde Onderhoud (GGO) is gebaseer op historiese falingsdata maar neem nie TM inligting in ag nie. Regressiemodelle neem beide TM data en historiese falings geskiedenis data in ag ten einde die onderliggende falings gedrag van die gegewe bate te verteenwoordig. Hierdie modelle kan baie nuttig wees vir BVP ontwikkeling te danke aan die feit dat Bruikbare Oorblywende Lewe (BOL) geskat kan word en/of die langtermyn lewenssilus koste geoptimeer kan word. Die doelwit van hierdie tesis was om historiese falingsdata en TT data goed genoeg te modelleer sodat BOL of optimale langtermyn lewensiklus kostes bepaal kan word om opgeneem te word in BVP ontwikkeling. Hierdie bepalings word dan gebruik in besluitnemings modelle wat gebruik kan word om onderhoud skedules op te stel, d.w.s. om ’n BVP te ontwikkel. Verskeie regressiemodelle was geëvalueer om die regte model te vind waarmee die doel van hierdie tesis te bereik kan word. Die mees geskikte model vir die navorsingsprojek was die Proporsionele Gevaarkoers Model (PGM). ’n Omvattende ondersoek oor die PGM is onderneem wat fokus op die wiskunde en die praktiese implementering daarvan. Data is van die Suid-Afrikaanse mynbedryf verkry en is gemodelleer met behulp van die Weibull PGM. Dit was bevind dat die ontwikkelde model resultate geproduseer het wat ’n akkurate verteenwoordinging van realiteit is. Hierdie bevindinge bied ’n opwindende basis vir die ontwikkeling van toekomstige Weibull Proporsionele Gevaarkoers Modelle wat kan lei tot groot onderhoudskoste besparings en minder onverwagte falings.
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Lin, Daming. "Reliability growth models and reliability acceptance sampling plans from a Bayesian viewpoint /." Hong Kong : University of Hong Kong, 1995. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13999618.

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Freeman, Laura J. "Statistical Methods for Reliability Data from Designed Experiments." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/37729.

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Product reliability is an important characteristic for all manufacturers, engineers and consumers. Industrial statisticians have been planning experiments for years to improve product quality and reliability. However, rarely do experts in the field of reliability have expertise in design of experiments (DOE) and the implications that experimental protocol have on data analysis. Additionally, statisticians who focus on DOE rarely work with reliability data. As a result, analysis methods for lifetime data for experimental designs that are more complex than a completely randomized design are extremely limited. This dissertation provides two new analysis methods for reliability data from life tests. We focus on data from a sub-sampling experimental design. The new analysis methods are illustrated on a popular reliability data set, which contains sub-sampling. Monte Carlo simulation studies evaluate the capabilities of the new modeling methods. Additionally, Monte Carlo simulation studies highlight the principles of experimental design in a reliability context. The dissertation provides multiple methods for statistical inference for the new analysis methods. Finally, implications for the reliability field are discussed, especially in future applications of the new analysis methods.
Ph. D.
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Jiang, Siyuan. "Mixed Weibull distributions in reliability engineering: Statistical models for the lifetime of units with multiple modes of failure." Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/185481.

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The finite mixed Weibull distribution is an appropriate distribution in modeling the lifetime of the units having more than one possible failure cause. Due to the lack of a systematic statistical procedure of fitting the distribution to a data set, it has not been widely used in lifetime data analyses. Many areas on this subject have been studied in this research. The following are the findings and contributions. Through a change of variable, 5 parameters in a two Weibull mixture can be reduced to 3. A parameter'vector (p₁, η, β) defines a family of two-Weibull mixtures which have common characteristics. Numerous probability plots are investigated on Weibull probability paper (WPP). For a given p₁ the η-β plane is partitioned into seven regions which are labeled by A through F and S. The Region S represents the two Weibull mixtures whose cdf curves are very close to a straight line. The Regions A through F represent six typical shapes of the cdf curves on WPP, respectively. The two-Weibull mixtures in one region have similar characteristics. Three important features of the two-Weibull mixture with well separated subpopulations are proved. Two existing methods for the graphical estimation of the parameters are discussed, and one is recommended over the other. The EM algorithm is successfully applied to solve the MLE for mixed Weibull distributions when m, the number of subpopulations in a mixture is known. The algorithms for complete, censored, grouped and suspended samples with non-postmortem and postmortem failures are developed accordingly. The developed algorithms are powerful, efficient and they are insensitive to the initial guesses. Extensive Monte Carlo simulations are performed. The distributions of the MLE of the parameters and of the reliability of a two Weibull mixture are studied. The MLEs of the parameters are sensitive to the degree of separation of the two subpopulation pdfs, but the MLE of the reliability is not. The generalized likelihood ratio (GLR) test is used to determine m. Under H₀: m=1 and H₁: m=m₁>1, ζ, the GLR is independent of the parameters in the distribution of H₀. The distributions of ζ or -21n(ζ) with n=50, 100 and 150 are obtained through Monte Carlo simulations. Compared with the chi-square distribution, they fall in between x²(4) and x²(6), and they are very close to x²(5). A FORTRAN computer program is developed to conduct simulation of the GLR test for 1 ≤ m₀ < m₁ ≤ 5.
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Книги з теми "Physical-statistical model of reliability"

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Pudney, Stephen. The statistical reliability of micro-simulation estimates: Results for a UK tax-benefit model. Cambridge: University of Cambridge, Department of Applied Economics, 1992.

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2

Portinale, Luigi. Modeling and analysis of dependable systems: A probabilistic graphical model perspective. New Jersey: World Scientific, 2015.

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3

Kotz, Samuel. The stress-strength model and its generalizations: Theory and applications. Singapore: World Scientific, 2003.

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Kotz, Samuel. The stress-strength model and its generalizations: Theory and applications. Singapore: World Scientific, 2003.

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5

Kotz, Samuel. The stress-strength model and its generalizations: Theory and applications. River Edge, NJ: World Scientific, 2003.

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6

Reliability: Probabilistic models and statistical methods. Englewood Cliffs, N.J: Prentice Hall, 1995.

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7

System Reliability Theory: Models, Statistical Methods, and Applications: Models, statistical methods, and applications. 2nd ed. Hoboken, NJ: Wiley-Interscience, 2004.

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Marcus Cornelus Jacobus van Pul. Statistical analysis of software reliability models. Amsterdam: Centrum voor Wiskunde en Informatica, 1993.

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Pul, Marcus Cornelus Jacobus van. Statistical analysis of software reliability models. Amsterdam: Centrum voor Wiskunde en Informatica, 1993.

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10

Ionescu, D. C., and N. Limnios, eds. Statistical and Probabilistic Models in Reliability. Boston, MA: Birkhäuser Boston, 1999. http://dx.doi.org/10.1007/978-1-4612-1782-4.

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Частини книг з теми "Physical-statistical model of reliability"

1

Paik, Jeom Kee. "Facilities for Physical Model Testing." In Topics in Safety, Risk, Reliability and Quality, 609–46. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8245-1_18.

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Bagdonavičius, V., and M. S. Nikulin. "Model Building in Accelerated Experiments." In Statistical and Probabilistic Models in Reliability, 51–73. Boston, MA: Birkhäuser Boston, 1999. http://dx.doi.org/10.1007/978-1-4612-1782-4_4.

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Hamon, Agnes, and Mounir Mesbah. "Questionnaire Reliability Under the Rasch Model." In Statistical Methods for Quality of Life Studies, 155–68. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3625-0_13.

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Barkhordari, Pegah, and Roberto Galeazzi. "Statistical Approach to Model Track Dynamics Towards the Monitoring of Railway Turnouts." In Springer Series in Reliability Engineering, 19–41. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62472-9_2.

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Hong, Yili, and William Q. Meeker. "A Model for Field Failure Prediction Using Dynamic Environmental Data." In Mathematical and Statistical Models and Methods in Reliability, 223–33. Boston, MA: Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-4971-5_16.

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Guérin, Fabrice, Mihaela Barreau, Amel Demri, Sylvain Cloupet, Julien Hersant, and Ridha Hambli. "Bayesian Estimation of Degradation Model Defined by a Wiener Process." In Mathematical and Statistical Models and Methods in Reliability, 345–57. Boston, MA: Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-4971-5_27.

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Bousseboua, Moussedek, and Mounir Mesbah. "Longitudinal Latent Markov Processes Observable Through an Invariant Rasch Model." In Mathematical and Statistical Models and Methods in Reliability, 87–100. Boston, MA: Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-4971-5_6.

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Lemeshko, Boris Yu, Stanislav B. Lemeshko, Kseniya A. Akushkina, Mikhail S. Nikulin, and Noureddine Saaidia. "Inverse Gaussian Model and Its Applications in Reliability and Survival Analysis." In Mathematical and Statistical Models and Methods in Reliability, 433–53. Boston, MA: Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-4971-5_33.

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Lisnianski, Anatoly, Ilia Frenkel, Lev Khvatskin, and Yi Ding. "Multistate System Reliability Assessment by Using the Markov Reward Model." In Statistical Models and Methods for Biomedical and Technical Systems, 153–68. Boston, MA: Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4619-6_12.

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Bogatyrev, V. A., S. M. Aleksankov, and A. N. Derkach. "The Model of Reliability of Dublated Real-Time Computers for Cyber-Physical Systems." In Cyber-Physical Systems: Industry 4.0 Challenges, 11–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32648-7_2.

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Тези доповідей конференцій з теми "Physical-statistical model of reliability"

1

Mei, S., N. Raghavan, M. Bosman, and K. L. Pey. "Statistical basis and physical evidence for clustering model in FinFET degradation." In 2017 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2017. http://dx.doi.org/10.1109/irps.2017.7936286.

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Dumin, D. J., R. S. Scott, and R. Subramoniam. "A model relating wearout induced physical changes in thin oxides to the statistical description of breakdown." In Proceedings of IEEE International Reliability Physics Symposium. IEEE, 1993. http://dx.doi.org/10.1109/relphy.1993.283286.

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Wirth, Gilson. "Large signal statistical compact model for LF noise." In 2013 IEEE International Integrated Reliability Workshop (IIRW). IEEE, 2013. http://dx.doi.org/10.1109/iirw.2013.6804176.

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Lee, Jian-Hsing, Natarajan Mahadeva Iyer, and Timothy J. Maloney. "Physical Model for ESD Human Body Model to Transmission Line Pulse." In 2019 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2019. http://dx.doi.org/10.1109/irps.2019.8720576.

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Chen, I. C., S. Holland, and C. Hut. "A quantitative physical model for time-dependent breakdown in SiO2." In 23rd International Reliability Physics Symposium. IEEE, 1985. http://dx.doi.org/10.1109/irps.1985.362070.

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Ruijters, Enno, Dennis Guck, Peter Drolenga, and Marielle Stoelinga. "Fault maintenance trees: Reliability centered maintenance via statistical model checking." In 2016 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2016. http://dx.doi.org/10.1109/rams.2016.7447986.

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Kufluoglu, Haldun, C. Cirba, M. Chu, M. Chen, S. Datla, and V. Reddy. "A physical and scalable aging model for digital library characterization." In 2014 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2014. http://dx.doi.org/10.1109/irps.2014.6861124.

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Abdelhamid, Mohamed, Ayman Atallah, Marwan Ammar, and Otmane Ait Mohamed. "Reliability Analysis Of Autonomous UAV Communication Using Statistical Model Checking." In 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2021. http://dx.doi.org/10.1109/mwscas47672.2021.9531675.

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Onno, St. "A Federated Physical and Logical Access Control Enforcement Model." In 2008 Third International Conference on Availability, Reliability and Security. IEEE, 2008. http://dx.doi.org/10.1109/ares.2008.92.

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Rzepa, G., J. Franco, A. Subirats, M. Jech, A. Chasin, A. Grill, M. Waltl та ін. "Efficient physical defect model applied to PBTI in high-κ stacks". У 2017 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2017. http://dx.doi.org/10.1109/irps.2017.7936425.

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Звіти організацій з теми "Physical-statistical model of reliability"

1

Kim, Joseph J., Samuel Dominguez, and Luis Diaz. Freight Demand Model for Southern California Freeways with Owner–Operator Truck Drivers. Mineta Transportation Institute, October 2020. http://dx.doi.org/10.31979/mti.2020.1931.

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This study evaluates the demand for truck-only toll lanes on Southern California freeways with owner–operator truck drivers. The study implemented the stated preference survey method to estimate the value placed by drivers on time, reliability, and safety measures using various scenarios geared towards assessing those values. The project team met face-to-face with owner- operator truck drivers near the Ports of Los Angeles and Long Beach to understand the drivers’ perspectives regarding truck-only toll lanes on Southern California freeways. A data set containing 31 survey responses is obtained and used for statistical data analysis using analysis of variable (ANOVA) and two sample t-tests. The analysis results showed that 75.27% of the owner– operator truck drivers responded are willing to pay toll fees when they choose routes. The tolerated average toll fees are $13.77/ hr and $12.82/hr for weekdays and weekends, respectively. The analysis results also showed that owner–operator truck drivers will take truck-only toll lanes when they take the routes used in four comparisons out of six comparisons according to the three measures such as values of time, reliability, and safety, despite sharing a common origin and destination. The highest toll fee per mile on any day that drivers are willing to pay when the main factor being compared is value of time is $0.31/mile or $18.35/hr. The toll fees associated with reliability and safety measures are $0.30/mile or $8.94/hr and $0.22/mile or $11.01/hr, respectively. These results are meaningful for legislators and transportation agencies as the behaviors and route choice characteristics of owner–operator truck drivers help them better understand the utility and demand for truck-only toll lanes.
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Sorensen, N. R., J. W. Braithwaite, S. J. Lucero, J. R. Michael, J. N. Sweet, D. W. Peterson, D. G. Robinson, K. L. Erickson, and C. C. Battaile. Physical Models for Predicting the Effect of Atmospheric Corrosion on Microelectronic Reliability. Office of Scientific and Technical Information (OSTI), December 2000. http://dx.doi.org/10.2172/773871.

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3

Verrill, Steve P., Frank C. Owens, David E. Kretschmann, and Rubin Shmulsky. Statistical models for the distribution of modulus of elasticity and modulus of rupture in lumber with implications for reliability calculations. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2017. http://dx.doi.org/10.2737/fpl-rp-692.

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4

Kodupuganti, Swapneel R., Sonu Mathew, and Srinivas S. Pulugurtha. Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions. Mineta Transportation Institute, January 2021. http://dx.doi.org/10.31979/mti.2021.1802.

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The rapid growth in population and related demand for travel during the past few decades has had a catalytic effect on traffic congestion, air quality, and safety in many urban areas. Transportation managers and planners have planned for new facilities to cater to the needs of users of alternative modes of transportation (e.g., public transportation, walking, and bicycling) over the next decade. However, there are no widely accepted methods, nor there is enough evidence to justify whether such plans are instrumental in improving mobility of the transportation system. Therefore, this project researches the operational performance of urban roads with heterogeneous traffic conditions to improve the mobility and reliability of people and goods. A 4-mile stretch of the Blue Line light rail transit (LRT) extension, which connects Old Concord Rd and the University of North Carolina at Charlotte’s main campus on N Tryon St in Charlotte, North Carolina, was considered for travel time reliability analysis. The influence of crosswalks, sidewalks, trails, greenways, on-street bicycle lanes, bus/LRT routes and stops/stations, and street network characteristics on travel time reliability were comprehensively considered from a multimodal perspective. Likewise, a 2.5-mile-long section of the Blue Line LRT extension, which connects University City Blvd and Mallard Creek Church Rd on N Tryon St in Charlotte, North Carolina, was considered for simulation-based operational analysis. Vissim traffic simulation software was used to compute and compare delay, queue length, and maximum queue length at nine intersections to evaluate the influence of vehicles, LRT, pedestrians, and bicyclists, individually and/or combined. The statistical significance of variations in travel time reliability were particularly less in the case of links on N Tryon St with the Blue Line LRT extension. However, a decrease in travel time reliability on some links was observed on the parallel route (I-85) and cross-streets. While a decrease in vehicle delay on northbound and southbound approaches of N Tryon St was observed in most cases after the LRT is in operation, the cross-streets of N Tryon St incurred a relatively higher increase in delay after the LRT is in operation. The current pedestrian and bicycling activity levels seemed insignificant to have an influence on vehicle delay at intersections. The methodological approaches from this research can be used to assess the performance of a transportation facility and identify remedial solutions from a multimodal perspective.
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Kramer, Robert. LED Street Lighting Implementation Research, Support, and Testing. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317274.

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This report describes the results of technical analysis, field tests, and laboratory tests that were performed for LED highway lighting options by the Energy Efficiency and Reliability Center (EERC) at Purdue University Northwest for the Indiana Department of Transportation (INDOT). This effort was conducted over the past 3 years to evaluate and test the technology and viability of using modern highway lighting technology to enhance energy efficiency, safety, security, and economic development of communities and roadways. During the testing period there was a continuous discussion between INDOT and EERC regarding the laboratory and field testing of INDOT approved luminaires submitted by vendors. There were multiple discussions with INDOT and vendors regarding the individual details and issues for the 29 luminaires that were tested. A comparison study was conducted by EERC of the various alternatives and comparison to currently installed luminaires. Data was collected for field tests of the luminaires by EERC and INDOT personnel for the luminaires. Field data was evaluated and compared to lighting models using vendor supplied ies data files. Multiple presentations were made at 3 separate Purdue Road Schools regarding the results and procedures of the testing program by EERC in conjunction with INDOT. A total of 22 final reports, considered confidential by INDOT, for individual vendor luminaires have been prepared as part of this effort. These reports were submitted sequentially to INDOT as testing was completed during the course of this effort. A total of 29 luminaires were tested. Some luminaire testing was terminated during testing due to design issues or vendor requests. All testing was summarized in the INDOT specification sheet attached to each report. Observations regarding the consistency of the supplied test luminaire with the requirements of Section 7.2 of the INDOT test procedure “Procedure for evaluation and approval list requirements for solid state ballasted luminaires ITM 957-17P” is provided in the Appendix to the report for each luminaire. Details regarding how these tests were performed and the respective associated evaluation of performance and reliability are provided in the report. This effort included: consideration of published and vendor information; appraisal of products consistent with national industry standards; review of physical design, thermal performance; laboratory testing of photopic performance, reliability, life cycle data and characteristics, and power characteristics; technical and probabilistic risk studies; and field testing and analysis of LED light sources including comparison to currently installed conventional light sources. Assistance in preparing INDOT standards for highway lighting was provided on multiple occasions.
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Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3677.

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An analysis of the experience of professional training bachelors of electromechanics in Ukraine and abroad made it possible to determine that one of the leading trends in its modernization is the synergistic integration of various engineering branches (mechanical, electrical, electronic engineering and automation) in mechatronics for the purpose of design, manufacture, operation and maintenance electromechanical equipment. Teaching mechatronics provides for the meaningful integration of various disciplines of professional and practical training bachelors of electromechanics based on the concept of modeling and technological integration of various organizational forms and teaching methods based on the concept of mobility. Within this approach, the leading learning tools of bachelors of electromechanics are mobile Internet devices (MID) – a multimedia mobile devices that provide wireless access to information and communication Internet services for collecting, organizing, storing, processing, transmitting, presenting all kinds of messages and data. The authors reveals the main possibilities of using MID in learning to ensure equal access to education, personalized learning, instant feedback and evaluating learning outcomes, mobile learning, productive use of time spent in classrooms, creating mobile learning communities, support situated learning, development of continuous seamless learning, ensuring the gap between formal and informal learning, minimize educational disruption in conflict and disaster areas, assist learners with disabilities, improve the quality of the communication and the management of institution, and maximize the cost-efficiency. Bachelor of electromechanics competency in modeling of technical objects is a personal and vocational ability, which includes a system of knowledge, skills, experience in learning and research activities on modeling mechatronic systems and a positive value attitude towards it; bachelor of electromechanics should be ready and able to use methods and software/hardware modeling tools for processes analyzes, systems synthesis, evaluating their reliability and effectiveness for solving practical problems in professional field. The competency structure of the bachelor of electromechanics in the modeling of technical objects is reflected in three groups of competencies: general scientific, general professional and specialized professional. The implementation of the technique of using MID in learning bachelors of electromechanics in modeling of technical objects is the appropriate methodic of using, the component of which is partial methods for using MID in the formation of the general scientific component of the bachelor of electromechanics competency in modeling of technical objects, are disclosed by example academic disciplines “Higher mathematics”, “Computers and programming”, “Engineering mechanics”, “Electrical machines”. The leading tools of formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects are augmented reality mobile tools (to visualize the objects’ structure and modeling results), mobile computer mathematical systems (universal tools used at all stages of modeling learning), cloud based spreadsheets (as modeling tools) and text editors (to make the program description of model), mobile computer-aided design systems (to create and view the physical properties of models of technical objects) and mobile communication tools (to organize a joint activity in modeling).
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7

Weller, Joel I., Derek M. Bickhart, Micha Ron, Eyal Seroussi, George Liu, and George R. Wiggans. Determination of actual polymorphisms responsible for economic trait variation in dairy cattle. United States Department of Agriculture, January 2015. http://dx.doi.org/10.32747/2015.7600017.bard.

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The project’s general objectives were to determine specific polymorphisms at the DNA level responsible for observed quantitative trait loci (QTLs) and to estimate their effects, frequencies, and selection potential in the Holstein dairy cattle breed. The specific objectives were to (1) localize the causative polymorphisms to small chromosomal segments based on analysis of 52 U.S. Holstein bulls each with at least 100 sons with high-reliability genetic evaluations using the a posteriori granddaughter design; (2) sequence the complete genomes of at least 40 of those bulls to 20 coverage; (3) determine causative polymorphisms based on concordance between the bulls’ genotypes for specific polymorphisms and their status for a QTL; (4) validate putative quantitative trait variants by genotyping a sample of Israeli Holstein cows; and (5) perform gene expression analysis using statistical methodologies, including determination of signatures of selection, based on somatic cells of cows that are homozygous for contrasting quantitative trait variants; and (6) analyze genes with putative quantitative trait variants using data mining techniques. Current methods for genomic evaluation are based on population-wide linkage disequilibrium between markers and actual alleles that affect traits of interest. Those methods have approximately doubled the rate of genetic gain for most traits in the U.S. Holstein population. With determination of causative polymorphisms, increasing the accuracy of genomic evaluations should be possible by including those genotypes as fixed effects in the analysis models. Determination of causative polymorphisms should also yield useful information on gene function and genetic architecture of complex traits. Concordance between QTL genotype as determined by the a posteriori granddaughter design and marker genotype was determined for 30 trait-by-chromosomal segment effects that are segregating in the U.S. Holstein population; a probability of <10²⁰ was used to accept the null hypothesis that no segregating gene within the chromosomal segment was affecting the trait. Genotypes for 83 grandsires and 17,217 sons were determined by either complete sequence or imputation for 3,148,506 polymorphisms across the entire genome. Variant sites were identified from previous studies (such as the 1000 Bull Genomes Project) and from DNA sequencing of bulls unique to this project, which is one of the largest marker variant surveys conducted for the Holstein breed of cattle. Effects for stature on chromosome 11, daughter pregnancy rate on chromosome 18, and protein percentage on chromosome 20 met 3 criteria: (1) complete or nearly complete concordance, (2) nominal significance of the polymorphism effect after correction for all other polymorphisms, and (3) marker coefficient of determination >40% of total multiple-regression coefficient of determination for the 30 polymorphisms with highest concordance. The missense polymorphism Phe279Tyr in GHR at 31,909,478 base pairs on chromosome 20 was confirmed as the causative mutation for fat and protein concentration. For effect on fat percentage, 12 additional missensepolymorphisms on chromosome 14 were found that had nearly complete concordance with the suggested causative polymorphism (missense mutation Ala232Glu in DGAT1). The markers used in routine U.S. genomic evaluations were increased from 60,000 to 80,000 by adding markers for known QTLs and markers detected in BARD and other research projects. Objectives 1 and 2 were completely accomplished, and objective 3 was partially accomplished. Because no new clear-cut causative polymorphisms were discovered, objectives 4 through 6 were not completed.
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