Analysis of Development of Statistical Methods for Reliability Assessment as Quality Properties of Facilities and Products
https://doi.org/10.51955/2312-1327_2024_1_6
Abstract
Reliability is the most important characteristics of any object or product, since it is always important that what the supplier offers and supplies is of high quality not only at the time of purchase, but during the entire period of use. Currently, for the aviation and aerospace industries, for the military-industrial complex, the reliability of products is of particular relevance. This article provides an overview of scientific achievements in the field of reliability of technical facilities and products. Of course, this review is not overall. However, the consideration reflects a significant part of books, monographs and other fundamental materials that have not lost their relevance to the present. The results of the study are a kind of guide to the labyrinth of the most difficult problems of solving reliability problems and methods that can be used to solve them.
About the Authors
Nikolai S. Khersonsky
SOYUZCERT LLC
Russian Federation
Russian Federation
Nikolai S. Khersonsky, Candidate of Technical Sciences, General Director,
7, building 30, Viktorenko St., Moscow, 125167.
Ludmila G. Bolshedvorskaya
Moscow State Technical University of Civil Aviation
Russian Federation
Russian Federation
Ludmila G. Bolshedvorskaya, Doctor of Technical Sciences, Professor of the Department of Flight Safety and Vital Activity,
20, Kronstadtsky boulevard, Moscow, 125493.
References
1. Antonov A. V., Ostreikovsky V. A. (1993). Evaluation of reliability characteristics of nuclear power plant elements and systems by combined methods. Moscow: Energoatomizdat, 1993. 368 p. (in Russian)
2. Antonov A. V., Plyaskin A. V., Chepurko V. A. (2001). Optimization of the number of spare elements of equipment important for NPP safety. Quality management methods. 8: 27-30. (in Russian)
3. Bagdonavicius V. B., Gerville-Reache L., Nikulin M. S. (2002). Parametric inference for step-stress models. IEEE Trans. Reliab. 51(1): 27-31.
4. Baldwin K. R. Smith C. J. E. (1999). Accelerated corrosion tests for aerospace materials: current limitations and future trends. Aircraft Engineering and Aerospace Technology: An International Journal. 71(3): 239-244.
5. Becker R. A., Clark L., Lambert D. (1998). Events Defined by Duration and Severity, With an Application to Network Reliability. Technometrics. 40(3): 177-189. Discussion: pp. 190-194.
6. Belov V. P., Golyakov A. D., Starkov S. Ya. (2003). On the concepts of «reliability» and «safety» of technical systems from the standpoint of developers. Quality management methods. 10: 46-49. (in Russian)
7. Bogatyrev V. A. (2001a). Fault tolerance of functional-distributed systems. Quality management methods. 3: 34-37. (in Russian)
8. Bogatyrev V. A. (2001b). Evaluation of efficiency preservation factor of fault-tolerant systems from multifunctional modules. Quality management methods. 9: 29-33. (in Russian)
9. Chelyadin V. L. (2003). Reliability assessment of territorial power supply system. Quality management methods. 1: 44-47. (in Russian)
10. Cox D. R., Oates D. (1988). Analysis of life-time type data [transl. from Eng.]. Moscow: Finance and Statistics, 1988. 191 p.
11. Demidovich N. O. (1994). Standardization of Failure Model. Reliability and Quality Control. 9: 35-64. (in Russian)
12. Demidovich N. O. (2002). Harmonizing Terminology in the Field of Reliability. Quality Management Methods. 10: 43-47. (in Russian)
13. Edgeman R. L., Lin D. K. J. (1997). Sequential analysis of accelerated life model. International Journal of Quality and Reliability Management. 14(6): 598-605.
14. Encyclopedia «Engineering» Tom IV-3. «Machine Reliability» / under general. red. V. V. Klyueva. Moscow: Mechanical engineering, 2021. 592 p. (in Russian)
15. Gianoulis L. (2000). Forecast of the expected number of returns of failed products during mass production. On the example of portable phones. Quality management methods. 11: 38-41. (in Russian)
16. Grodzensky S. Ya. (2001a). Consistent control of product reliability by quantitative characteristics. Quality management methods. 7: 31-34. (in Russian)
17. Grodzensky S. Ya. (2001b). Rationalization of control tests for reliability. Quality management methods. 1: 31-36. (in Russian)
18. Guangbin Yang, Kai Yang. (2002). Accelerated degradation-tests with tightened critical values. IEEE Trans. Reliab. 51(4): 463-468.
19. Haiyan Xu, Tang Yincai. (2003). Commentary: the Khamis/Higgins model. IEEE Trans. Reliab. 52(1): 4-6.
20. Kaminsky M. P. (1990). Non-parametric prediction of fault-free operation time quantiles based on the results of tests in forced modes. Reliability and quality control. 7: 3-7. (in Russian)
21. Kartashov G. D. (1998). Markovsky reliability prediction models. Reliability and quality control. 12: 33-36. (in Russian)
22. Khamis I. H. (1996). Comparison between constant and step-stress tests for Weibull models. International Journal of Quality and Reliability Management. 14(1): 74-81.
23. Khamis I. H., Higgins J. J. (1999). An alternative to the Weibull step-stress model. International Journal of Quality and Reliability Management. 16(2). 158-165.
24. Konovalov L. V. (1997). Role and priority areas of structural reliability of machines in modern trends in mechanical engineering. Reliability and quality control. 5: 3-17. (in Russian)
25. Kuznetsov K. A. (2000). Accelerated durability tests of mechanical wristwatches. Quality management methods. 8: 31. (in Russian)
26. Lapidus V. A., Rozno M. I., Glazunov A. V., et al. (1991). Statistical quality control of products based on the principle of prioritization. Moscow: Finance and Statistics, 1991. 224 p.
27. Lee-Ing Tong, Yi-Hui Liang. (2005). Forecasting field failures data for repairable systems using neural networks and SARIMA. International Journal of Quality and Reliability Management. 22(4): 410-420.
28. Mathew S. (2004). Optimal inspection frequency: A tool for maintenance planning/forecasting. International Journal of Quality and Reliability Management. 21(7): 763-771.
29. McLean H. W. (2000). HALT, HASS & HASA Explained: Accelerated Reliability Techniques. Milwaukee: ASQ Quality Press, 2000. 152 p.
30. Nelson W. (1990). Accelerated testing: statistical models, test plans, and data analyses. New York: John Wiley and Sons, 1990. 605 p.
31. Ostreikovsky V. A. (2023). Reliability Theory. Moscow: Higher School, 2023. 463 p. (in Russian)
32. Pasquini A., Pistolesi G., Rizzo A. (2001). Reliability analysis of systems based on software and human resources. IEEE Trans. Reliab. 50(4): 337-345.
33. Pronikov A. S. (2002). Parametric reliability of machines. Moscow: Publishing House of the Bauman Moscow State Technical University. 2002. 560 p. (in Russian)
34. Rukhin A. L., Khsiekh H. K. (1989). Review of Soviet reliability work. Reliability and quality control. 1989. 2: 3-25. (in Russian)
35. Ryabinin I. A. (2000). Reliability and safety of structurally complex systems. Moscow: Polytechnic, 2000. 248 p. (in Russian)
36. Savchuk V. P. (1989). Bayesian methods of statistical assessment: Reliability of technical facilities. Moscow: Science. Ch. ed. Physical-mat. lit., 1989. 322 p. (in Russian)
37. Sheng-Tsaing Tseng. (2000). Step-Stress Accelerated Degradation Analysis For Highly Reliable Products. Journal of Quality Technology. 32(3): 209-216.
38. Shper V. L. (1992). The problem of accelerated testing of electronics products and radio electronics. Modern state. In Sat. «Quality and reliability of products». 5(21): 79-120.
39. Shper V. L. (1997). On standardization of failure model. Reliability and quality control. 10: 40-48. (in Russian)
40. Smagin V. A. (1998). Physical and probabilistic models for predicting the reliability of products based on forcing tests. Reliability and quality control. 4: 15-23. (in Russian)
41. Smagin V. A. (1999). About one model of forced tests. Reliability and quality control. 4: 46-48. (in Russian)
42. Strelnikov V. P. (1997). On standardization of failure model. Reliability and quality control. 3: 2640. (in Russian)
43. Ushakov I. A., Pusher V. (2002a). Calculation of spare parts nomenclature for mobile repair shops. Quality management methods. 4: 41-42. (in Russian)
44. Ushakov I. A., Pusher V. (2002b). Territorial-distributed maintenance system. Quality management methods. 2: 32-36.
45. Ushakov I. A., Weise S. (2000). Assessment of reliability of elements based on the results of systems testing. Quality management methods. 8: 26-27. (in Russian)
46. Utkin L. V. (2003). Imprecise reliability of cold standby systems. International Journal of Quality and Reliability Management. 20(6): 722-739.
47. Vesnin V. (1995). Method of planning cyclic forced tests. Reliability and quality control. 3: 3-8. (in Russian)
48. Yarlykov N. E. (2004). Improving the efficiency of reliability control. Moscow: Radio and communication. 2004. 151 p. (in Russian)
49. Yonghuan Cao. (2002). System availability with non-exponentially distributed outages. IEEE Transactions on Reliability. 51(2): 193-198.
50. Zamyslov M. A., Zamyslov E. M. (2002). Evaluation of system reliability with functional reconfiguration. Quality management methods. 6: 36-39. (in Russian)
Review
For citations:
Khersonsky N.S., Bolshedvorskaya L.G. Analysis of Development of Statistical Methods for Reliability Assessment as Quality Properties of Facilities and Products. Crede Experto: transport, society, education, language. 2024;(1):6-23. (In Russ.) https://doi.org/10.51955/2312-1327_2024_1_6
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