DocumentCode :
3439401
Title :
Notice of Retraction
A fusion method of zero-failure data in different environments for reliability assessment of success-failure type products
Author :
Jianfeng Liu ; Yichao Yin ; Guozhong Fu ; Jing Li ; Shun-Peng Zhu
Author_Institution :
Sch. of Mech., Electron., & Ind. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2013
fDate :
15-18 July 2013
Firstpage :
1102
Lastpage :
1105
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.

Environmental factor, as an important parameter in reliability assessment, has been an important issue in the reliability engineering research. The definition of environmental factor for success-failure type data is the unreliability ratio of products between two different environments. When the experimental data obtained were zero-failure data, the value of denominator would be zero when using the environmental factor in data fusion calculating, at this situation, the environmental factor is Incalculable. To solve this problem, this paper proposes a method that converting the zero-failure data to equivalent failure data before data fusion and reliability assessment. And then, the computational analysis of example verified the feasibility of this method.
Keywords :
failure analysis; manufacturing data processing; reliability; sensor fusion; environmental factor; reliability assessment; success-failure type products; zero-failure data fusion method; Data integration; Data models; Environmental factors; Reliability engineering; Reliability theory; Stress; data fusion; environmental factor; equivalent number of failures; reliability assessment; zero-failure data;
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.2013.6625758
Filename :
6625758
Link To Document :
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