DocumentCode :
3439110
Title :
Notice of Retraction
Modeling degradation with a new independent increment process
Author :
Qiong Wu ; Jian-Zhong Yang ; Jing-Yan Wang ; Li Xue
Author_Institution :
Beijing Inst. of Spacecraft Syst. Eng., Beijing, China
fYear :
2013
fDate :
15-18 July 2013
Firstpage :
1040
Lastpage :
1044
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

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.
Keywords :
failure analysis; parameter estimation; performance evaluation; stochastic processes; closed form expressions; degradation path model; degradation process; failure time distribution; independent increment process; modeling degradation; performance distribution; stochastic process model; Degradation; Graphics; Maximum likelihood estimation; Reliability engineering; Safety; Stochastic processes; degradation; failure time distribution; independent increment process; performance distribution; reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
Type :
conf
DOI :
10.1109/QR2MSE.2013.6625744
Filename :
6625744
Link To Document :
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