Title :
Notice of Retraction
Reliability assessment of products based on performance degradation data with outliers paper
Author :
Jun Lu ; Baowei Song ; Zhaoyong Mao ; Chunyang Cheng
Author_Institution :
Inst. of Underwater Vehicle Coll. of Marine, Northwestern Polytech. Univ., Xi´an, China
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.
Performance degradation data can provide useful information for reliability assessment. Especially for high reliability and long life products, the overall effect is good using of performance degradation data. However, there are some outliers in the testing process of product performance because of the influence of random error, which makes the assessment be not robust. In this case, this paper uses fuzzy clustering least squares method to evaluate the parameters, which impair the influence of outliers and improve the stability. Finally, an actual example is presented to show that the method is correct and effective.
Keywords :
fuzzy set theory; least squares approximations; performance evaluation; product quality; reliability; fuzzy clustering least squares method; outliers paper; product performance degradation data; product reliability assessment; Degradation; Estimation; Least squares approximations; Reliability theory; Time measurement; Transistors; fuzzy clustering; least-squares estimation; outliers; performance degradation; reliability;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
DOI :
10.1109/QR2MSE.2013.6625538
