Abstract
Reliability evaluation always plays an important role in the process of product development. However, it is practically impossible to carry out large-samples test on the equipment which is restricted by many factors, such as large investment in equipment development, less prototype, long test operation time as well as high requirements for equipment performance. However, during the development and use of the product, a large number of debugging tests, comprehensive joint tests, environmental stress screening tests, environmental tests, reliability enhancement test, reliability accelerated growth test, reliability tests, etc. have been carried out, as well as the trial and use of the product. Accumulated a wealth of reliability information data; at the same time, similar products have also accumulated a large amount of historical data during a series of tests and use. These data provide multi-source information for solving the problem of reliability evaluation of small samples in the product development process. In order to solve the problem of small-sample reliability evaluation in the process of equipment development, this paper proposes a reliability evaluation method based on multi-source data fusion. The method considers the characteristics of variable population and variable environment of related multi-source data, and has taken advantage of the theory and method of reliability growth and variable population and variable environment data processing. Finally, we use a practical case to show the practicality and effectiveness of the method.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhou, Y., Weng, C.: Reliability Evaluation. Science Press, Beijing (1990)
Ying, F.: Reliability analysis of small sample based on Bayes method. Mech. Strength 34(02), 274–277 (2012)
Benton, A.W., Crow, L.H.: Integrated reliability growth testing. Proc. Ann. Reliab. Maintainab. Symp. 30(3), 160–166 (1989)
Yan, Z.: Research on Change Statistics Method in Equipment Test Evaluation. National University of Defense Technology (2010)
MIL-HDBK-189: Reliability growth management (1981)
Benton, A.W., Crow, L.H.: Integrated reliability growth testing. In: Proceedings Annual Reliability and Maintainability Symposium, pp. 160–166 (1989)
Chin, J.H., Lobben, A., Von Hasseln, H.J.: Reliability growth through an integrated test approach-a case history. In: Proceedings Annual Reliability and Maintainability Symposium, pp. 432–438 (1982)
Wronka, J.C.: Tracking of reliability growth in early development. In: Proceedings Annual Reliability and Maintainability Symposium, pp. 168–173 (1988)
Zhao, Y., Min, H., Zhi, W.: A reliability growth analysis model for variable environmental data. Acta Aeronautica Sinica 23(2), 111–114 (2002)
Huo, J.: Reliability evaluation method of variant parent product. Torpedo Technol. 2008(01), 11–13 (2008)
Fang, G.: Research on Multi-source Information Fusion Technology in Product Reliability Evaluation. Hefei University of Technology (2006)
Sun, Y.: Research on the Theory and Method of System Reliability Growth Prediction. Harbin University of Science and Technology (2011)
Wang, Y.: Data analysis of complex systems under the reliability growth AMSAA model. Electron. Inf. 2018(02), 92–96 (2018)
Yuan, X.: Reliability modeling and analysis of complex system electronic equipment. Tianjin University (2008)
Liu, Z., Huang, M., Huang, M., Zhao, Y.: Comprehensive assessment of system reliability using equipment variable matrix variable environmental data. Acta Aeronautica Sinica 2004(03), 254–257 (2004)
Zhao, Y.: Reliability comprehensive evaluation model of variable matrix and variable environment data. J. Beijing Univ. Aeronaut. Astronaut. 28(05), 597–600 (2002)
Du, Z., Zhao, Y., Huang, M.: Comprehensive evaluation of reliability of development test data based on AMSAA model. J. Beijing Univ. Aeronaut. Astronaut. 2003(08), 745–748 (2003)
Hu, L.: Research and application of reliability growth prediction of aerospace products based on variable matrix and variable environment data. Nanjing University of Aeronautics and Astronautics (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Science Press
About this paper
Cite this paper
Hong, W., Qiang, S. (2022). Reliability Evaluation Method Based on Multi-source Data Fusion. In: Duan, B., Umeda, K., Kim, Cw. (eds) Proceedings of the Eighth Asia International Symposium on Mechatronics. Lecture Notes in Electrical Engineering, vol 885. Springer, Singapore. https://doi.org/10.1007/978-981-19-1309-9_169
Download citation
DOI: https://doi.org/10.1007/978-981-19-1309-9_169
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-1308-2
Online ISBN: 978-981-19-1309-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)