Weak feature extraction for early wear of connecting rod bearings under transient conditions

As we all know, it is difficult to extract weak feature for early wear of connecting rod bearings under transient conditions. In order to solve the problem, a method of extracting wear features for connecting rod bearings based on variational modal decomposition (VMD) adaptive noise reduction and co...

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Main Authors: Gang Ren, Jide Jia, Jianmin Mei
Format: Article
Language:English
Published: JVE International 2020-11-01
Series:Journal of Vibroengineering
Subjects:
Online Access:https://www.jvejournals.com/article/20352
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spelling doaj-1fc5c5f3133f40d9a585bdf7176a76c82020-11-25T04:09:46ZengJVE InternationalJournal of Vibroengineering1392-87162538-84602020-11-012271559157010.21595/jve.2019.2035220352Weak feature extraction for early wear of connecting rod bearings under transient conditionsGang Ren0Jide Jia1Jianmin Mei2Automobile NCO School, Army Military Transportation University, Bengbu, ChinaState Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, ChinaProjection Equipment Support Department, Army Military Transportation University, Tianjin, ChinaAs we all know, it is difficult to extract weak feature for early wear of connecting rod bearings under transient conditions. In order to solve the problem, a method of extracting wear features for connecting rod bearings based on variational modal decomposition (VMD) adaptive noise reduction and computational order tracking (COT) was proposed. Firstly, the vibration signals of internal combustion engine block under transient operating conditions were collected, and the signals were reordered to satisfy the order tracking condition. Then, interpolation and fitting techniques were used to map the signal from the time domain space to the angular domain space. Next, the VMD was used to decompose the angular domain signal into multiple modal components, and the autocorrelation function (ACF) was used to denoise the modal components adaptively. Finally, the signal was reconstructed to conduct COT analysis, and the wear features of connecting rod bearing were extracted by average COT spectrum. The simulation analysis and the simulation experiment of the connecting rod bearing fault show that the proposed method is effective, and the weak features for early wear of connecting rod bearing of internal combustion engine are extracted.https://www.jvejournals.com/article/20352variational mode decompositionadaptive de-noisingcomputational order trackingfeature extraction
collection DOAJ
language English
format Article
sources DOAJ
author Gang Ren
Jide Jia
Jianmin Mei
spellingShingle Gang Ren
Jide Jia
Jianmin Mei
Weak feature extraction for early wear of connecting rod bearings under transient conditions
Journal of Vibroengineering
variational mode decomposition
adaptive de-noising
computational order tracking
feature extraction
author_facet Gang Ren
Jide Jia
Jianmin Mei
author_sort Gang Ren
title Weak feature extraction for early wear of connecting rod bearings under transient conditions
title_short Weak feature extraction for early wear of connecting rod bearings under transient conditions
title_full Weak feature extraction for early wear of connecting rod bearings under transient conditions
title_fullStr Weak feature extraction for early wear of connecting rod bearings under transient conditions
title_full_unstemmed Weak feature extraction for early wear of connecting rod bearings under transient conditions
title_sort weak feature extraction for early wear of connecting rod bearings under transient conditions
publisher JVE International
series Journal of Vibroengineering
issn 1392-8716
2538-8460
publishDate 2020-11-01
description As we all know, it is difficult to extract weak feature for early wear of connecting rod bearings under transient conditions. In order to solve the problem, a method of extracting wear features for connecting rod bearings based on variational modal decomposition (VMD) adaptive noise reduction and computational order tracking (COT) was proposed. Firstly, the vibration signals of internal combustion engine block under transient operating conditions were collected, and the signals were reordered to satisfy the order tracking condition. Then, interpolation and fitting techniques were used to map the signal from the time domain space to the angular domain space. Next, the VMD was used to decompose the angular domain signal into multiple modal components, and the autocorrelation function (ACF) was used to denoise the modal components adaptively. Finally, the signal was reconstructed to conduct COT analysis, and the wear features of connecting rod bearing were extracted by average COT spectrum. The simulation analysis and the simulation experiment of the connecting rod bearing fault show that the proposed method is effective, and the weak features for early wear of connecting rod bearing of internal combustion engine are extracted.
topic variational mode decomposition
adaptive de-noising
computational order tracking
feature extraction
url https://www.jvejournals.com/article/20352
work_keys_str_mv AT gangren weakfeatureextractionforearlywearofconnectingrodbearingsundertransientconditions
AT jidejia weakfeatureextractionforearlywearofconnectingrodbearingsundertransientconditions
AT jianminmei weakfeatureextractionforearlywearofconnectingrodbearingsundertransientconditions
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