Fault Diagnosis of Intershaft Bearings Using Fusion Information Exergy Distance Method

For the fault diagnosis of intershaft bearings, the fusion information exergy distance method (FIEDM) is proposed by fusing four information exergies, such as singular spectrum exergy, power spectrum exergy, wavelet energy spectrum exergy, and wavelet space spectrum exergy, which are extracted from...

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Main Authors: Jing Tian, Yanting Ai, Chengwei Fei, Ming Zhao, Fengling Zhang, Zhi Wang
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2018/7546128
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spelling doaj-d5dacd16f86746b995dc017fdb5d8cd52020-11-24T22:36:36ZengHindawi LimitedShock and Vibration1070-96221875-92032018-01-01201810.1155/2018/75461287546128Fault Diagnosis of Intershaft Bearings Using Fusion Information Exergy Distance MethodJing Tian0Yanting Ai1Chengwei Fei2Ming Zhao3Fengling Zhang4Zhi Wang5School of Power and Energy, Northwestern Polytechnical University, Xi’an 710072, ChinaLiaoning Key Laboratory of Advanced Test Technology for Aeronautical Propulsion System, Shenyang Aerospace University, Shenyang 110136, ChinaSchool of Transportation Science and Engineering, Beihang University, Beijing 100191, ChinaSchool of Power and Energy, Northwestern Polytechnical University, Xi’an 710072, ChinaLiaoning Key Laboratory of Advanced Test Technology for Aeronautical Propulsion System, Shenyang Aerospace University, Shenyang 110136, ChinaLiaoning Key Laboratory of Advanced Test Technology for Aeronautical Propulsion System, Shenyang Aerospace University, Shenyang 110136, ChinaFor the fault diagnosis of intershaft bearings, the fusion information exergy distance method (FIEDM) is proposed by fusing four information exergies, such as singular spectrum exergy, power spectrum exergy, wavelet energy spectrum exergy, and wavelet space spectrum exergy, which are extracted from acoustic emission (AE) signals under multiple rotational speeds and multimeasuring points. The theory of FIEDM is investigated based on four information exergy distances under multirotational speeds. As for rolling bearings, four faults and one normal condition are simulated on a birotor test rig to collect the AE signals, in which the four faults are inner ring fault, outer ring fault, rolling element fault, and inner race-rolling element coupling fault. The faults of the intershaft bearings are analyzed and diagnosed by using the FIEDM. From the investigation, it is demonstrated that the faults of the intershaft bearings are accurately diagnosed and identified, and the FIEDM is effective for the analysis and diagnosis of intershaft bearing faults. Furthermore, the fault diagnosis precision of intershaft bearings becomes higher with increasing rotational speed.http://dx.doi.org/10.1155/2018/7546128
collection DOAJ
language English
format Article
sources DOAJ
author Jing Tian
Yanting Ai
Chengwei Fei
Ming Zhao
Fengling Zhang
Zhi Wang
spellingShingle Jing Tian
Yanting Ai
Chengwei Fei
Ming Zhao
Fengling Zhang
Zhi Wang
Fault Diagnosis of Intershaft Bearings Using Fusion Information Exergy Distance Method
Shock and Vibration
author_facet Jing Tian
Yanting Ai
Chengwei Fei
Ming Zhao
Fengling Zhang
Zhi Wang
author_sort Jing Tian
title Fault Diagnosis of Intershaft Bearings Using Fusion Information Exergy Distance Method
title_short Fault Diagnosis of Intershaft Bearings Using Fusion Information Exergy Distance Method
title_full Fault Diagnosis of Intershaft Bearings Using Fusion Information Exergy Distance Method
title_fullStr Fault Diagnosis of Intershaft Bearings Using Fusion Information Exergy Distance Method
title_full_unstemmed Fault Diagnosis of Intershaft Bearings Using Fusion Information Exergy Distance Method
title_sort fault diagnosis of intershaft bearings using fusion information exergy distance method
publisher Hindawi Limited
series Shock and Vibration
issn 1070-9622
1875-9203
publishDate 2018-01-01
description For the fault diagnosis of intershaft bearings, the fusion information exergy distance method (FIEDM) is proposed by fusing four information exergies, such as singular spectrum exergy, power spectrum exergy, wavelet energy spectrum exergy, and wavelet space spectrum exergy, which are extracted from acoustic emission (AE) signals under multiple rotational speeds and multimeasuring points. The theory of FIEDM is investigated based on four information exergy distances under multirotational speeds. As for rolling bearings, four faults and one normal condition are simulated on a birotor test rig to collect the AE signals, in which the four faults are inner ring fault, outer ring fault, rolling element fault, and inner race-rolling element coupling fault. The faults of the intershaft bearings are analyzed and diagnosed by using the FIEDM. From the investigation, it is demonstrated that the faults of the intershaft bearings are accurately diagnosed and identified, and the FIEDM is effective for the analysis and diagnosis of intershaft bearing faults. Furthermore, the fault diagnosis precision of intershaft bearings becomes higher with increasing rotational speed.
url http://dx.doi.org/10.1155/2018/7546128
work_keys_str_mv AT jingtian faultdiagnosisofintershaftbearingsusingfusioninformationexergydistancemethod
AT yantingai faultdiagnosisofintershaftbearingsusingfusioninformationexergydistancemethod
AT chengweifei faultdiagnosisofintershaftbearingsusingfusioninformationexergydistancemethod
AT mingzhao faultdiagnosisofintershaftbearingsusingfusioninformationexergydistancemethod
AT fenglingzhang faultdiagnosisofintershaftbearingsusingfusioninformationexergydistancemethod
AT zhiwang faultdiagnosisofintershaftbearingsusingfusioninformationexergydistancemethod
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