DocumentCode
3442954
Title
Notice of Retraction
Research of equipment remaining life prediction based on flexible process management
Author
Jianxin Huang ; Yaqin Bian ; Shubin Li
Author_Institution
Air Force Eng. Univ., Xi´an, China
fYear
2013
fDate
15-18 July 2013
Firstpage
1901
Lastpage
1905
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.
With the continuous development of flexible manufacturing technology, flexible management methods are needed in all kinds of production process. This paper introduces flexible process management method in capturing, tracking, testing, and evaluating the equipment´s condition and its remaining lives. Based on the ever enriched flexible connotation, it is extended into the matching process management. Through introducing of flexible process conception, establishing process-centered process framework and model of equipment remaining life prediction, defining the basic activity, flexible activity and flexible connection of the process, the flexible process management model based on EDCA rule is built. In order to further apply the result of condition testing, and the test result is used as the basis of implementing of maintenance, then, the equipment remaining life prediction oriented flexible process management method is put forward to realize the dynamical management of the whole process of equipment remaining life prediction.
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.
With the continuous development of flexible manufacturing technology, flexible management methods are needed in all kinds of production process. This paper introduces flexible process management method in capturing, tracking, testing, and evaluating the equipment´s condition and its remaining lives. Based on the ever enriched flexible connotation, it is extended into the matching process management. Through introducing of flexible process conception, establishing process-centered process framework and model of equipment remaining life prediction, defining the basic activity, flexible activity and flexible connection of the process, the flexible process management model based on EDCA rule is built. In order to further apply the result of condition testing, and the test result is used as the basis of implementing of maintenance, then, the equipment remaining life prediction oriented flexible process management method is put forward to realize the dynamical management of the whole process of equipment remaining life prediction.
Keywords
condition monitoring; remaining life assessment; EDCA rule; basic activity; dynamical management; equipment condition testing; equipment condition tracking; equipment remaining life prediction; flexible activity; flexible connection; flexible management methods; flexible manufacturing technology; flexible process conception; flexible process management model; matching process management; process centered process framework; production process; Analytical models; Data models; Predictive models; Process control; Production; Standards; Testing; equipment; flexible process; process management; remaining life prediction;
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.2013.6625951
Filename
6625951
Link To Document