TY - GEN
T1 - Reliability assessment based on multiple sources of accelerated testing data
AU - Ma, Zhonghai
AU - Wang, Shaoping
AU - Liao, Haitao
AU - Zhang, Chao
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - Reliability testing is an indispensable tool for evaluating the lifetime of a product. To satisfy the needs for the use of advanced technologies, the requirements of design, manufacturing and reliability for some key components are becoming higher and higher. Because of the high reliability of such components, it is difficult to obtain failure time data in a limited time period via regular life tests or even accelerated life test (ALT). As an alternative, accelerated degradation test (ADT) can also be conducted to collect performance degradation data under accelerated operations. The issue is how to evaluate the reliability of the product using both ALT and ADT data. To solve the problem, a multi data fusion model needs to be developed to integrate these two types of data. In this paper, an Expectation-maximization (EM) algorithm is developed for the estimation of model parameters in data fusion. The method evaluates the product's reliability more accurately. A numerical example is presented to illustrate the use of the proposed method in practice, and show the value of the method in improving the estimation accuracy.
AB - Reliability testing is an indispensable tool for evaluating the lifetime of a product. To satisfy the needs for the use of advanced technologies, the requirements of design, manufacturing and reliability for some key components are becoming higher and higher. Because of the high reliability of such components, it is difficult to obtain failure time data in a limited time period via regular life tests or even accelerated life test (ALT). As an alternative, accelerated degradation test (ADT) can also be conducted to collect performance degradation data under accelerated operations. The issue is how to evaluate the reliability of the product using both ALT and ADT data. To solve the problem, a multi data fusion model needs to be developed to integrate these two types of data. In this paper, an Expectation-maximization (EM) algorithm is developed for the estimation of model parameters in data fusion. The method evaluates the product's reliability more accurately. A numerical example is presented to illustrate the use of the proposed method in practice, and show the value of the method in improving the estimation accuracy.
KW - Accelerated degradation test (ADT)
KW - Accelerated life test (ALT)
KW - Expectation- maximization (EM) algorithm
KW - Multi data fusion model
UR - http://www.scopus.com/inward/record.url?scp=85083037407&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85083037407&partnerID=8YFLogxK
U2 - 10.1109/FPM45753.2019.9035823
DO - 10.1109/FPM45753.2019.9035823
M3 - Conference contribution
AN - SCOPUS:85083037407
T3 - Proceedings of the 8th International Conference on Fluid Power and Mechatronics, FPM 2019
SP - 1269
EP - 1275
BT - Proceedings of the 8th International Conference on Fluid Power and Mechatronics, FPM 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Conference on Fluid Power and Mechatronics, FPM 2019
Y2 - 10 April 2019 through 13 April 2019
ER -