DocumentCode :
3438829
Title :
Notice of Retraction
Research on the reliability assessment methods based on single performance parameters degradation data for diesel engine
Author :
Lixia Zhang ; Fuzhou Feng ; Jian Wang ; Pengcheng Jiang
Author_Institution :
Dept. of Mech. Eng., Acad. of Armoured Force Eng., Beijing, China
fYear :
2013
fDate :
15-18 July 2013
Firstpage :
978
Lastpage :
982
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.

In this paper, a new reliability assessment model is put forward according to the degradation data of the performance parameters when the equipment is operating, which mainly aims at the traditional reliability assessment problems of high-reliability, long-life and high-cost experiment equipment. The paper studies reliability assessment methods for the small samples and proposes a reliability assessment model of single performance parameter based on Bayesian theory to improve the degradation trajectory model. Finally, the model is verified by the diesel engine performance degradation data. This research resolves the problem of the reliability assessment model based on performance degradation data, and provides an effective method for the reliability assessment of mechanical equipment.
Keywords :
Bayes methods; diesel engines; reliability; Bayesian theory; degradation trajectory model; diesel engine; equipment operation; mechanical equipment; performance parameter degradation data; reliability assessment method; reliability assessment problem; Bayes methods; Degradation; Diesel engines; Maintenance engineering; Performance evaluation; Reliability theory; bayesian method; degradation path; performance parameter; reliability assessment model;
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.2013.6625730
Filename :
6625730
Link To Document :
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