Tapered Roller Bearing Failure Diagnosis Based on Improved Probability Box Model

Bearing failure often occurs in rotating machinery. The fault diagnosis method based on the vibration signals has been studied for many years. This paper proposed an improved probability box (ip-box) modeling method for diagnosing bearing faults. The major theoretical principles involved with the pr...

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Main Authors: Hong Tang, Hongliang Dai, Yi Du
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9154700/
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author Hong Tang
Hongliang Dai
Yi Du
author_facet Hong Tang
Hongliang Dai
Yi Du
author_sort Hong Tang
collection DOAJ
description Bearing failure often occurs in rotating machinery. The fault diagnosis method based on the vibration signals has been studied for many years. This paper proposed an improved probability box (ip-box) modeling method for diagnosing bearing faults. The major theoretical principles involved with the probability box (p-box) modeling methods and a projection method. Since a larger aggregated width results in the p-box not being conducive to a fault identification and diagnosis, the mean of the focal element interval and the amount of data fluctuation between the adjacent focal elements were used as additional information. Then, the additional information was added to the ip-box model by the cooperative optimization method. Finally, the experimental results showed that the classification performance of a support vector machine (SVM) trained with eight measured values from the ip-box was significantly improved.
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spelling doaj.art-9c76f1da83ed49d896c8283c8b8a80cd2022-12-21T23:35:57ZengIEEEIEEE Access2169-35362020-01-01815145215146410.1109/ACCESS.2020.30138759154700Tapered Roller Bearing Failure Diagnosis Based on Improved Probability Box ModelHong Tang0Hongliang Dai1Yi Du2https://orcid.org/0000-0001-8774-005XState Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, ChinaState Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, ChinaCity College, Kunming University of Science and Technology, Kunming, ChinaBearing failure often occurs in rotating machinery. The fault diagnosis method based on the vibration signals has been studied for many years. This paper proposed an improved probability box (ip-box) modeling method for diagnosing bearing faults. The major theoretical principles involved with the probability box (p-box) modeling methods and a projection method. Since a larger aggregated width results in the p-box not being conducive to a fault identification and diagnosis, the mean of the focal element interval and the amount of data fluctuation between the adjacent focal elements were used as additional information. Then, the additional information was added to the ip-box model by the cooperative optimization method. Finally, the experimental results showed that the classification performance of a support vector machine (SVM) trained with eight measured values from the ip-box was significantly improved.https://ieeexplore.ieee.org/document/9154700/Probability boxcooperative optimizationprojection methodfault diagnosisSVM
spellingShingle Hong Tang
Hongliang Dai
Yi Du
Tapered Roller Bearing Failure Diagnosis Based on Improved Probability Box Model
IEEE Access
Probability box
cooperative optimization
projection method
fault diagnosis
SVM
title Tapered Roller Bearing Failure Diagnosis Based on Improved Probability Box Model
title_full Tapered Roller Bearing Failure Diagnosis Based on Improved Probability Box Model
title_fullStr Tapered Roller Bearing Failure Diagnosis Based on Improved Probability Box Model
title_full_unstemmed Tapered Roller Bearing Failure Diagnosis Based on Improved Probability Box Model
title_short Tapered Roller Bearing Failure Diagnosis Based on Improved Probability Box Model
title_sort tapered roller bearing failure diagnosis based on improved probability box model
topic Probability box
cooperative optimization
projection method
fault diagnosis
SVM
url https://ieeexplore.ieee.org/document/9154700/
work_keys_str_mv AT hongtang taperedrollerbearingfailurediagnosisbasedonimprovedprobabilityboxmodel
AT hongliangdai taperedrollerbearingfailurediagnosisbasedonimprovedprobabilityboxmodel
AT yidu taperedrollerbearingfailurediagnosisbasedonimprovedprobabilityboxmodel