DocumentCode
3437186
Title
Notice of Retraction
Reliability analysis for lubricating oil pressure indicating and alarming system on the basis of imprecise probability
Author
Zheng Liu ; Haikun Wang ; Liping He ; Ningcong Xiao ; Hong-Zhong Huang
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
548
Lastpage
550
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.
Classical reliability theory always uses probability theory to quantify uncertainty information and it will meet a lot of difficulties when data is sparse or quantification of uncertainty is based on subjective information. As a generalization of probability theory, imprecise probability theory can express subjective information on a behavioral interpretation via the buying and selling price for a gamble without personal attitude. When assessments and judgements are conflicting and inconsistent, the conjunction rule and unanimity rule based on coherent imprecise probability can eliminate the conflict and obtain a consistent result. Although the application of imprecise probability in reliability theory have already been considered and developed, there are still few applications in practical. Therefore, this paper takes lubricating oil system as an example, applies imprecise probability to analyze this system´s reliability.
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.
Classical reliability theory always uses probability theory to quantify uncertainty information and it will meet a lot of difficulties when data is sparse or quantification of uncertainty is based on subjective information. As a generalization of probability theory, imprecise probability theory can express subjective information on a behavioral interpretation via the buying and selling price for a gamble without personal attitude. When assessments and judgements are conflicting and inconsistent, the conjunction rule and unanimity rule based on coherent imprecise probability can eliminate the conflict and obtain a consistent result. Although the application of imprecise probability in reliability theory have already been considered and developed, there are still few applications in practical. Therefore, this paper takes lubricating oil system as an example, applies imprecise probability to analyze this system´s reliability.
Keywords
alarm systems; lubricating oils; pricing; probability; reliability theory; behavioral interpretation; buying price; coherent imprecise probability theory; conjunction rule; lubricating oil pressure indicating and alarming system; lubricating oil system; probability theory; reliability theory; selling price; subjective information; unanimity rule; Lubricating oils; Reliability engineering; Reliability theory; Safety; Uncertainty; imprecise probability; lubricating oil pressure indicating and alarming system; reliability analysis; subjective information;
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.2013.6625643
Filename
6625643
Link To Document