TY - GEN
T1 - Notice of Retraction
T2 - 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2013
AU - Wu, Qiong
AU - Yang, Jian Zhong
AU - Wang, Jing Yan
AU - Xue, Li
PY - 2013
Y1 - 2013
N2 - Degradation test is an important technique to assess the failure time distribution of complex systems and high reliable products. The effectiveness of a degradation model depends strongly on the appropriateness of the model describing the degradation process. In this paper, a new degradation model is proposed, in which the characteristics of the widely-used stochastic process model and degradation path model are considered simultaneously. Using the proposed degradation model, closed-form expressions of performance distribution, failure time distribution and their percentiles can be obtained easily. Then a one-stage procedure is developed to estimate the model parameters, the performance distribution and failure time distribution. Furthermore, simulation studies are conducted to validate the proposed method, results show that the method provides much precise estimates even for very small sample size of about 5.
AB - Degradation test is an important technique to assess the failure time distribution of complex systems and high reliable products. The effectiveness of a degradation model depends strongly on the appropriateness of the model describing the degradation process. In this paper, a new degradation model is proposed, in which the characteristics of the widely-used stochastic process model and degradation path model are considered simultaneously. Using the proposed degradation model, closed-form expressions of performance distribution, failure time distribution and their percentiles can be obtained easily. Then a one-stage procedure is developed to estimate the model parameters, the performance distribution and failure time distribution. Furthermore, simulation studies are conducted to validate the proposed method, results show that the method provides much precise estimates even for very small sample size of about 5.
KW - degradation
KW - failure time distribution
KW - independent increment process
KW - performance distribution
KW - reliability
UR - https://www.scopus.com/pages/publications/84890098819
U2 - 10.1109/QR2MSE.2013.6625744
DO - 10.1109/QR2MSE.2013.6625744
M3 - 会议稿件
AN - SCOPUS:84890098819
SN - 9781479910144
T3 - QR2MSE 2013 - Proceedings of 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering
SP - 1040
EP - 1044
BT - QR2MSE 2013 - Proceedings of 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering
PB - IEEE Computer Society
Y2 - 15 July 2013 through 18 July 2013
ER -