Relevant bibliographies by topics / Quality control Optical methods Automation x

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Academic literature on the topic 'Quality control Optical methods Automation x'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Quality control Optical methods Automation x"

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Kryzhanovskiy, K. S. "THE SYSTEM OF AUTOMATIC COMBUSTION CONTROL IN GAS-BURNING PLANTS BY CORRECTIVE PARAMETER." Energy Technologies & Resource Saving, no. 3 (September 14, 2018): 66–71. http://dx.doi.org/10.33070/etars.3.2018.08.

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The wide application of gaseous fuels in technology and energy, its high cost, pose the task of improving the quality of its use. The task of automation of technological processes of thermal units heated by natural gas is to increase the safety of operation and the efficiency of their operation. This problem is especially acute in conditions of continuous operation of thermal units, when the state of the environment varies from day to day and from summer to winter. The temperature of the air for combustion, its humidity, the heat of combustion of the gas and the atmospheric pressure fluctuate particularly sharply. In these conditions, when putting into operation the heat unit, it is necessary to set such tinctures that, in the event of unfavorable external conditions, there always was enough oxygen to completelyburn the gas. This can be achieved by increasing the efficiency of the automatic control system of the ratio of the combustion components and the temperature parameters of the unit, according to the optimal regime for each particular technological process. To achieve this goal, we used the results of research into the chemical processes of interaction of combustion products using means for measuring the electrical parameters of a flame based on physical methods of ionization control of the combustion process. The established features and obtained results made it possible to develop a device for monitoring the ionization properties of the combustion process, on their basis, automatic control systems of burners for industrial heat x aggregates. Bibl. 7, Fig. 3.
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Malkina, I. V. "AUTOMATION OF QUALITY CONTROL OF GEOMETRIC PARAMETERS OF PARTS IN MECHANICAL ENGINEERING." Izvestiya of Samara Scientific Center of the Russian Academy of Sciences 24, no. 3 (2022): 34–41. http://dx.doi.org/10.37313/1990-5378-2022-24-3-34-41.

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The aim of the work is to develop an automated system for controlling geometric parameters of machine parts during their production using the methods of active control. To achieve this goal, the paper presents an analysis of the manufacturing process and quality control of parts produced at the machine-building industry enterprise "Stangydromash" LLC (Samara). The analysis of measuring methods of part geometry, accuracy of manufacturing surfaces of the spindle of 16Б16P lathe (SAMAT) is carried out. A justification for selecting an optical sensor for the control system of geometric parameters of a part is made. The interface scheme of the sensor with the information processing unit and with the system controller is considered. A technique of measurement fulfillment is developed, a precise analysis of the system is made.
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Heizmann, Michael, Alexander Braun, Markus Hüttel, Christina Klüver, Erik Marquardt, Michael Overdick, and Markus Ulrich. "Artificial intelligence with neural networks in optical measurement and inspection systems." at - Automatisierungstechnik 68, no. 6 (June 25, 2020): 477–87. http://dx.doi.org/10.1515/auto-2020-0006.

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AbstractOptical measuring and inspection systems play an important role in automation as they allow a comprehensive and non-contact quality assessment of products and processes. In this field, too, systems are increasingly being used that apply artificial intelligence and machine learning, mostly by means of artificial neural networks. Results achieved with this approach are often very promising and require less development effort. However, the supplementation and replacement of classical image processing methods by machine learning methods is not unproblematic, especially in applications with high safety or quality requirements, since the latter have characteristics that differ considerably from classical image processing methods. In this paper, essential aspects and trends of machine learning and artificial intelligence for the application in optical measurement and inspection systems are presented and discussed.
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Аверченков, Владимир, Vladimir Averchenkov, Александр Самсоненко, and Aleksandr Samsonenko. "AUTOMATION OF OPTIC INSPECTION CONTROL AT QUALITY MANAGEMENT OF PRINTED CIRCUIT ASSEMBLY SOLDERING." Bulletin of Bryansk state technical university 2016, no. 2 (June 30, 2016): 149–55. http://dx.doi.org/10.12737/20271.

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The development of methods of designing and assembling electronic units on circuit boards with the use of surface assembling techniques (SAT) became one of the priority fields. The product optic control is the most common method of control carried out by specialized equipment, an automated optic inspection (AOI). On the basis of the fulfilled analysis of technical solutions on the organization of inspections of different manufacturers and according to the test results in practice of some variants there was offered a circuit including the following equipment layout: a set of chambers, a system of linear displacement, a controller, a computer and software. The optical inspection software can be divided into the software of management and the software of control. The former serves for the computation of a control signal, the comparison of coordinates of equipment (with physical (F), imported (C) and in-spected (P)) interpretation of coordinates, interpolation and so on. The software of control contains modules: of data import from Gerberfile, the identification of board images obtained from the chamber, of the com-putation and comparison of identified components with a standard, of the analysis defects and the definition of a defect type, of database (DB) filling, of the interaction with a user. The system described in comparison with foreign analogues has a smaller set of options, but solves a problem of control under conditions of enterprises manufacturing electronics of the second class (according to IPCA-610 Standard “Criteria for Electronic Assemblage Acceptance).
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Kuchirka, Yu, and E. Volodarsky. "Cement Quality Control By Using Modern Radiation Methods Of Chemical Analysis In The Process Of Its Production." Methods and Objects of Chemical Analysis Vol. 14, No.1 (2019): 15–20. http://dx.doi.org/10.17721/moca.2019.15-20.

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An essential part of modern quality management system in cement production is state-of-the-art radiation measurement technologies based on methods of neutron activation, X-ray fluorescence and X-ray diffraction chemical analysis of substance. The high speed and accuracy of measuring the characteristics of raw materials and finished products can be achieved by their complex application, thereby ensuring an improving in the level of automation of cement production and the quality of cement in general. The main stages of the portlandcement production process by dry method are considered, including the keypoints of quality control of their implementation by applying mentioned radiation methods of chemical analysis of raw materials and completed product. The metrological problems of their practical implementation in continuous cement production are analyzed, in particular problems of uncertainty assessment, static and dynamic calibration and increase of accuracy of measuring systems that implement neutron activation analysis methods. Shown the directions of their improvement by the use of alternative neutron sources, methods of Monte Carlo N-Particle Transport Code for neutron activation analysis physical processes simulation and machine learning for the efficient processing of spectral characteristics of investigated substances.
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Riedl, M., R. Danzl, T. Lankmair, and F. Millonig. "HIGH-RESOLUTION SURFACE TEXTURE MEASUREMENTS USING A COLLABORATIVE PICK-AND-PLACE ROBOT." MM Science Journal 2021, no. 5 (November 3, 2021): 5175–80. http://dx.doi.org/10.17973/mmsj.2021_11_2021177.

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The ongoing trend of robotics, automation, quality control and its combination are leading to new possibilities in the field of metrology. The improvements, especially in the handling and accuracy of collaborative robotics, are enabling new applications for automated high-resolution optical 3D measurements. This is the basis for the implementation of a pick-and-place solution for automatic surface texture measurements by replacing a high precision x-y stage with a collaborative robot. In this paper two different Focus-Variation setups are compared to evaluate the uncertainty using a certified standard and a real sample.
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7

Panishchev, V. S., M. I. Trufanov, O. G. Dobroserdov, and O. O. Khomyakov. "Recognition of character information for automation of production processes." Proceedings of the Southwest State University 25, no. 1 (May 30, 2021): 122–37. http://dx.doi.org/10.21869/2223-1560-2021-25-1-122-137.

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Purpose of research. Nowadays optical character recognition systems have a high level of dependence on the specific type of marking that is to be recognized, and therefore, the creation of a universal solution is an important and difficult task. The paper considers the issue of creating a system for recognizing symbolic information that can be used at various stages of production to automate processes in control systems, in particular, to analyze the labeling of circuit breakers.Methods. Binarization, filtering, and boundary detection are digital image processing techniques. Line search method, baseline search method, word splitting algorithms, image enhancement methods by segmentation, damaged characters recognition method, an algorithm for increasing the final recognition quality are character recognition methods.Results. The analysis of algorithms used for preprocessing and subsequent recognition of images containing marking of circuit breakers is carried out. The mathematical model of image processing for subsequent recognition has been created. We have described methods used to define marking symbols. Illustrative examples of the operation of the algorithms on which the system is built are given. The obtained solution was tested. The ways of system development are described here, they can lead to improved results, for particular use cases.Conclusion. It is proposed a solution that recognizes symbolic information on the labeling of circuit breakers, which can be the basis for the development and description of systems serving for the automation of production, by transferring information read from the product during the production process. This system, by its example, describes the components of character recognition systems, and for direct use, it needs to be refined in accordance with the technical requirements and the specifics of the conditions in which it will be used.
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Gierowski, Jakub, and Sandra Pawłowska. "Surface quality control of thin SiN layer by optical measurements." Photonics Letters of Poland 13, no. 3 (September 30, 2021): 61. http://dx.doi.org/10.4302/plp.v13i3.1096.

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Fiber optic interferometers have a wide range of applications including biological and chemical measurements. Nevertheless, in case of a reflective interferometer setup, standard silver mirrors cannot be used in every measurement, due to their chemical activity. In this work, we investigate the surface quality of a thin optical layer of silicon nitride (SiN) which can serve as an alternative material for silver mirrors. We present measurements carried out with a Fabry-Perot fiber optic interferometer working in a reflective mode. Measurement results allow us to determine the surface quality of the investigated layer. Full Text: PDF ReferencesK. Karpienko, M.S. Wróbel, M. Jedrzejewska-Szczerska, "Determination of refractive index dispersion using fiber-optic low-coherence Fabry-Perot interferometer: implementation and validation", Opt Express, 53, 077103 (2014). CrossRef Jedrzejewska-Szczerska M., Gnyba M., Kosmowski B. B. "Low-coherence fibre-optic interferometric sensors", Acta Phys. Pol. A 120, 621 (2011). CrossRef M. Jedrzejewska-Szczerska "Response of a new low-coherence Fabry-Perot sensor to hematocrit levels in human blood",Sensors 14(4), 6965 (2014). CrossRef M. Kosowska, D. Majchrowicz, K.J. Sankaran, M. Ficek, K. Haenen, M. Szczerska, "Doped Nanocrystalline Diamond Films as Reflective Layers for Fiber-Optic Sensors of Refractive Index of Liquids", Materials 12, 2124 (2019). CrossRef Shou-YiChang, Yi-Chung Huang, "Analyses of interface adhesion between porous SiO2 low-k film and SiC/SiN layers by nanoindentation and nanoscratch tests", Microelectron. Eng. 84(2), 319 (2007). CrossRef X. Wang, C. Wang, X. Shen, F. Sun, "Potential Material for Fabricating Optical Mirrors: Polished Diamond Coated Silicon Carbide". Appl. Opt. 56, 4113 (2017). CrossRef G. Coppola, P. Ferraro, M. Iodice, S. De Nicola, "Method for measuring the refractive index and the thickness of transparent plates with a lateral-shear, wavelength-scanning interferometer", Appl. Opt. 42, 3882 (2003). CrossRef H. Mäckel, R. Lüdemann, "Detailed study of the composition of hydrogenated SiNx layers for high-quality silicon surface passivation", J. Appl, Phys. 92, 2602 (2002). CrossRef N. Atman, M. Krzywinski, "Visualizing samples with box plots", Nat. Methods, 11(2), 119 (2014). CrossRef M. Vignesh, R. Balaji, "Data analysis using Box and Whisker Plot for Lung Cancer", International Conference on Innovations in Power and Advanced Computing Technologies,(2017). CrossRef
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9

Musaev, F. B., S. L. Beletskiy, and N. N. Potrakhov. "Development of computer program for automatic X-ray analysis of quality of vegetable seeds." Plant Biology and Horticulture: theory, innovation, no. 160 (November 9, 2021): 86–95. http://dx.doi.org/10.36305/2712-7788-2021-3-160-86-95.

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Traditional morphometric methods of seed quality analysis, although they are accurate, are less informative, labor-intensive and long-term in execution. In modern conditions, in seed science and seed control, the use of more informative and high-speed instrumental methods is required. The method of microfocus X-ray of seeds is one of them, it allows you to visualize the internal structure of seeds. In the joint work of employees of the Federal Scientific Vegetable Center, Agrophysical Research Institute and St. Petersburg State Electrotechnical University, Research Institute for Storage Problems of "Rosrezerv", a method of X-ray analysis of the quality of vegetable seeds was developed and tested. Currently, programming, automation of this method is underway. The method of digital analysis of X-ray images in automatic mode comes as a replacement for the previously applied visual analysis of seed radiographs. A modernized software and hardware complex was developed and tested, a program algorithm was compiled, consisting of several stages. As a result, the quality analysis of seeds is significantly accelerated by visualizing their internal structure. The newly developed computer program "Sortsemkontrol-2" recognizes seeds according to the following qualitative indicators: full-value, underdevelopment, undevelopment, monstrous. The analysis results are automatically reported as a log. The fractional analysis of the seed batch is also carried out, the dimensional characteristic of each fraction is given, according to the two largest adjacent fractions, the equalization of the seed batch is determined. Fractional analysis of a batch of seeds is of great practical importance for pre-production of seeds. In the future, the application of the computer program "Sortsemkontrol-2" will provide an accelerated, at the same time informative analysis of the quality of seeds, which is very important in the conditions of commercialization of seed turnover.
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Kandpal, Lalit Mohan, Jayoung Lee, Hyungjin Bae, Moon S. Kim, Insuck Baek, and Byoung-Kwan Cho. "Near-Infrared Transmittance Spectral Imaging for Nondestructive Measurement of Internal Disorder in Korean Ginseng." Sensors 20, no. 1 (January 3, 2020): 273. http://dx.doi.org/10.3390/s20010273.

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The grading of ginseng (Panax ginseng) including the evaluation of internal quality attributes is essential in the ginseng industry for quality control. Assessment for inner whitening, a major internal disorder, must be conducted when identifying high quality ginseng. Conventional methods for detecting inner whitening in ginseng root samples use manual inspection, which is time-consuming and inaccurate. This study develops an internal quality measurement technique using near-infrared transmittance spectral imaging to evaluate inner whitening in ginseng samples. Principle component analysis (PCA) was used on ginseng hypercube data to evaluate the developed technique. The transmittance spectra and spectral images of ginseng samples exhibiting inner whitening showed weak intensity characteristics compared to normal ginseng in the region of 900–1050 nm and 1150–1400 nm respectively, owing to the presence of whitish internal tissues that have higher optical density. On the basis of the multivariate analysis method, even a simple waveband ratio image has the great potential to quickly detect inner whitening in ginseng samples, since these ratio images show a significant difference between whitened and non-whitened regions. Therefore, it is possible to develop an efficient and rapid spectral imaging system for the real-time detection of inner whitening in ginseng using minimal spectral wavebands. This novel strategy for the rapid, cost-effective, non-destructive detection of ginseng’s inner quality can be a key component for the automation of ginseng grading.
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Dissertations / Theses on the topic "Quality control Optical methods Automation x"

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Brosnan, Timothy Myers. "Neural network and vector quantization classifiers for recognition and inspection applications." Thesis, Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/15378.

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Goulding, John Robert. "Adaptive Color Correlation of Knots in Wood Images and Weighted-value Product Selection Methods in a Machine Vision System." PDXScholar, 1996. https://pdxscholar.library.pdx.edu/open_access_etds/5189.

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The biggest obstacle to robust color image processing of wood is in developing a color model that represents all possible defect colors. When the color model is too general or too specific, defect recognition fails because too many or too few non-defect pixels match the model, respectively. Because a color image of wood contains far more clear and clear-grain colored pixels than grain-knot and knot colored pixels, it is beneficial to first statistically identify and remove the clear and clear-grain colors and to use the accumulated data to simultaneously enhance and normalize the remaining grainknot and knot colored pixels. This process is here called adaptive color correlation. The normal image processing strategy is to search and test for defect features directly. The strategy proposed and developed here is to instead classify all wood pixels containing non-defect colors first, and then identify defect features. Once non-defect features are removed from an image, the task of finding candidate defects becomes easier and faster. This improvement is realized in a sigmoid-shaped color correlation implemented as an adaptive look-up table. As wood has become more expensive relative to manufacturing costs, more efficient methods of maximizing the recovery of clear wood in every board are sought. Optimization, in the present context, is a broad term for selecting products that are made from wood boards so the value of products produced is maximized for a given production requirement. Wood contains random defects which prohibit the production of some products. The normal optimization strategy is to mathematically change the value of under/over-produced products directly. The strategy proposed and developed here is to instead separate optimization into two steps: 1) determine all possible product solutions for a board; and 2) select the single best solution that satisfies value and production goals. Maximum utilization of clear wood is achieved because the solution is "frozen" before mathematically changing the value of products. Recovering long-lengths of clear wood is achieved because various length-based valuation strategies may be implemented as postsolution processes. Separating the product selection process from the solution generation process is shown by this work (simulation) to maximize value recovery.
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Bodnarova, Adriana. "Texture analysis for automatic visual inspection and flaw detection in textiles." Thesis, Queensland University of Technology, 2000.

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Books on the topic "Quality control Optical methods Automation x"

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European, Congress on Optics (1st 1988 Hamburg Germany). In-process optical measurements: Proceedings. Bellingham, Wash., USA: SPIE, 1989.

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H, Spring Kenneth, European Federation for Applied Optics., European Physical Society, Society of Photo-optical Instrumentation Engineers., and Unesco, eds. In-process optical measurements: ECO1, 22-23 September 1988, Hamburg, Federal Republic of Germany. Bellingham, Wash., USA: SPIE, 1989.

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A, Brook Richard, Chen Michael J. W, Sira Limited, University of Arizona. Optical Sciences Center., University of Rochester. Institute of Optics., and Society of Photo-optical Instrumentation Engineers., eds. International Conference on Automatic Inspection and Measurement: August 20-21, 1985, San Diego, California. Bellingham, Wash., USA: SPIE--International Society for Optical Engineering, 1985.

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W, Chen Michael J., Thibadeau Robert, and Society of Photo-optical Instrumentation Engineers., eds. Automated inspection and measurement: 28-30 October 1986, Cambridge, Massachusetts. Bellingham, Wash., USA: SPIE--the International Society for Optical Engineering, 1987.

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Machine vision: Automated visual inspection and robot vision. New York: Prentice Hall, 1991.

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Clist, Roger. Automated inspection 1992-93: FRST contract C08229, objective 1. Auckland, N.Z: Industrial Research, 1993.

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Vision, '89 (1989 Chicago Ill ). Vision '89, April 24-27, 1989, Chicago, Illinois. Dearborn, Mich. (1 SME Dr., Dearborn 48121): Society of Manufacturing Engineers, 1989.

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Vision '90 (1990 Detroit, Mich.). Vision '90, November 12-15, 1990, Detroit, Michigan. Dearborn, Mich: Society of Manufacturing Engineers, 1990.

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Tuczek, Hubertus C. Inspektion von Karosseriepressteilen auf Risse und Einschnürungen mittels Methoden der Bildverarbeitung. Berlin: Springer, 1992.

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Fofi, David. Image processing: Machine vision applications IV : 25-27 January 2011, San Francisco, California, United States. Edited by SPIE (Society) and IS & T--the Society for Imaging Science and Technology. Bellingham, Wash: SPIE, 2011.

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Conference papers on the topic "Quality control Optical methods Automation x"

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Makarenko, Konstantin, Alexander Nikitin, and Andrey Parenko. "Fractographic analysis of fractures of graphitized cast iron using optical microscopy." In International Conference "Computing for Physics and Technology - CPT2020". Bryansk State Technical University, 2020. http://dx.doi.org/10.30987/conferencearticle_5fce27703aebb2.03360772.

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Fractography - methods for studying material fractures, the science of the structure of fracture surfaces. Fractography is widely used to determine the causes of destruction of materials and structures. In materials sciences, fractography is used to study crack propagation, microstructure studies, and quality control. When investigating the failure of structures, determining the type of crack (material fatigue, hydrogen embrittlement, stress corrosion cracking, exceeding the permissible load, etc.) makes it possible to determine the cause of the failure. Fractographic studies include the study of a fracture with the naked eye, using an optical and electron microscope. Other methods are also often used, such as measuring hardness or studying the distribution of chemical elements using X-ray spectral microanalysis. Fractographic (or fracture) analysis is the first and obligatory stage of research that must be performed by an expert of the metallurgical examination laboratory when determining the causes of material destruction. Visual examination of the fracture (fracture) surface makes it possible to establish the location of the beginning of fracture, the nature of its further course, to make a judgment about the degree of plasticity of the material and about possible structural defects that led to the initiation and development of cracks. The use of fractographic analysis methods for reconstructing the fracture surface of graphitized cast iron is proposed. The influence of various inclusions in the structure of cast iron is considered. A study of the fracture surface of graphitized cast irons was carried out, and the causes affecting the fracture process were identified.
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Yasko, Alexander, Eugene Babeshko, and Vyacheslav Kharchenko. "FMEDA and FIT-Based Safety Assessment of NPP I&C Systems Considering Expert Uncertainty." In 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-82048.

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The complexity of modern safety critical systems is becoming higher with technology level growth. Nowadays the most important and vital systems of automotive, aerospace, nuclear industries count millions of lines of software code and tens of thousands of hardware components and sensors. All of these constituents operate in integrated environment interacting with each other — this leads to enormous calculation task when testing and safety assessment are performed. There are several formal methods that are used to assess reliability and safety of NPP I&C (Nuclear Power Plant Instrumentation and Control) systems. Most of them require significant involvement of experts and confidence in their experience which vastly affects trustworthiness of assessment results. The goal of our research is to improve the quality of safety and reliability assessment as result of experts involvement mitigation by process automation. We propose usage of automated FMEDA (Failure Modes, Effects and Diagnostic Analysis) and FIT (Fault Insertion Testing) combination extended whith multiple faults approach as well as special methods for quantitative assessment of experts involvement level and their decisions uncertainty. These methods allow to perform safety and reliability assessment without specifying the degree of confidence in experts. Traditional FMEDA approach has several bottlenecks like the need of manual processing of huge number of technical documents (system specification, datasheets etc.), manual assignment of failure modes and effects based on personal experience. Human factor is another source of uncertainty. Such things like tiredness, emotional disorders, distraction or lack of experience could be the reasons of under- and over-estimation. Basing on our research in field of expert-related errors we propose expert involvement degree (EID) metric that indicates the level of technique automation and expert uncertainty degree (EUD) metric which is complex measure of experts decisions uncertainty within assessment. We propose usage of total expert trustworthiness degree (ETD) indicator as function of EID and EUD. Expert uncertainty assessment and Multi-FIT as FMEDA verification are implemented in AXMEA (Automated X-Modes and Effects Analysis) software tool. Proposed Multi-FIT technique in combination with FMEDA was used during internal activities of SIL3 certification of FPGA-based (Field Programmable Gate Array) RadICS platform for NPP I&C systems. The proposed expert trustworthiness degree calculation is going to be used during production activities of RPC Radiy (Research and Production Corporation). Our future work is related to research in expert uncertainty field and extension of AXMEA tool with new failure data sources as well as software optimization and further automation.
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