DocumentCode
3435361
Title
Notice of Retraction
Research on reliablity analysis for machine tools
Author
Zhaojun Yang ; Chuanhai Chen ; Guofa Li ; Jili Wang ; Xinhong Zhang
Author_Institution
Coll. of Mech. Sci. & Eng., Jilin Univ., Changchun, China
fYear
2013
fDate
15-18 July 2013
Firstpage
173
Lastpage
177
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.
Machining tools are the main equipments for metal machining and consist of mechanical parts, electrical parts and hydraulic parts, and so on. In order to reduce the probability of failure and improve the reliability of machine tools, this paper firstly performs failure analysis by statistical method. Then the failure trends for the key parts of machining center are given using power law process. In contrast with traditional method, which optimizes maintenance under repair costs, an optimization approach for maintenance is presented under the reliability constraints of machining center that used in a northeast manufacturing plant of China. The proposed analysis process could be a useful tool to assess the reliability and optimize the maintenance policy of machine tools.
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.
Machining tools are the main equipments for metal machining and consist of mechanical parts, electrical parts and hydraulic parts, and so on. In order to reduce the probability of failure and improve the reliability of machine tools, this paper firstly performs failure analysis by statistical method. Then the failure trends for the key parts of machining center are given using power law process. In contrast with traditional method, which optimizes maintenance under repair costs, an optimization approach for maintenance is presented under the reliability constraints of machining center that used in a northeast manufacturing plant of China. The proposed analysis process could be a useful tool to assess the reliability and optimize the maintenance policy of machine tools.
Keywords
costing; failure analysis; machine tools; machining; maintenance engineering; probability; reliability; China; electrical parts; failure analysis; failure probability reduction; hydraulic parts; machine tool reliability improvement; maintenance policy optimization; mechanical parts; metal machining; northeast manufacturing plant; power law process; reliability analysis; repair costs; statistical method; Computer numerical control; Fasteners; Machine tools; Machining; Preventive maintenance; Reliability; failure analysis; machine tools; maintenance; optimization; reliability constraints;
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.2013.6625559
Filename
6625559
Link To Document