DocumentCode :
3442850
Title :
Notice of Retraction
A similarity-based remaining useful life prognostic approach of equipment components
Author :
Cong-Ying Lei ; Liang-Hua Xia ; Bo Wu ; Gang Liu
Author_Institution :
Dept. of Manage. Eng., Ordnance Eng. Coll., Shijiazhuang, China
fYear :
2013
fDate :
15-18 July 2013
Firstpage :
1874
Lastpage :
1877
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.

Remaining useful life (RUL) estimation is an important part in modern prognostic and health management (PHM) approach. In this paper, a particular prognostic named similarity-based RUL estimation is proposed. In some complex condition, typical methods will perform inefficient, and in engineering application background, some traditional methods may be hard implemented. On the other hand, similarity-based RUL estimation approach performs well in thus condition. The basic conception was introduced in the first part and detailed methodology was given in the second part. In this part, a type of Euclidean function was used as similarity-calculation function. In the third part, a case study was conducted to validate the accuracy of the similarity-based prognostic method.
Keywords :
health care; remaining life assessment; Euclidean function; PHM; RUL estimation; equipment components; health management approach; remaining useful life prognostic approach; similarity-based prognostic method; Accuracy; Degradation; Estimation; Maintenance engineering; Prognostics and health management; Reliability engineering; PHM; RUL; condition-based maintenance; similarity-based;
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.2013.6625944
Filename :
6625944
Link To Document :
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