Planetary Gearbox Fault Diagnosis Using Envelope Manifold Demodulation

The important issue in planetary gear fault diagnosis is to extract the dependable fault characteristics from the noisy vibration signal of planetary gearbox. To address this critical problem, an envelope manifold demodulation method is proposed for planetary gear fault detection in the paper. This...

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Main Authors: Weigang Wen, Robert X. Gao, Weidong Cheng
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2016/3952325
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spelling doaj-ef1ad6aa2a3643d8bdab63c189c2faa52020-11-24T22:20:22ZengHindawi LimitedShock and Vibration1070-96221875-92032016-01-01201610.1155/2016/39523253952325Planetary Gearbox Fault Diagnosis Using Envelope Manifold DemodulationWeigang Wen0Robert X. Gao1Weidong Cheng2School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, ChinaDepartment of Mechanical Engineering, University of Connecticut, Storrs, CT 06269, USASchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, ChinaThe important issue in planetary gear fault diagnosis is to extract the dependable fault characteristics from the noisy vibration signal of planetary gearbox. To address this critical problem, an envelope manifold demodulation method is proposed for planetary gear fault detection in the paper. This method combines complex wavelet, manifold learning, and frequency spectrogram to implement planetary gear fault characteristic extraction. The vibration signal of planetary gear is demodulated by wavelet enveloping. The envelope energy is adopted as an indicator to select meshing frequency band. Manifold learning is utilized to reduce the effect of noise within meshing frequency band. The fault characteristic frequency of the planetary gear is shown by spectrogram. The planetary gearbox model and test rig are established and experiments with planet gear faults are conducted for verification. All results of experiment analysis demonstrate its effectiveness and reliability.http://dx.doi.org/10.1155/2016/3952325
collection DOAJ
language English
format Article
sources DOAJ
author Weigang Wen
Robert X. Gao
Weidong Cheng
spellingShingle Weigang Wen
Robert X. Gao
Weidong Cheng
Planetary Gearbox Fault Diagnosis Using Envelope Manifold Demodulation
Shock and Vibration
author_facet Weigang Wen
Robert X. Gao
Weidong Cheng
author_sort Weigang Wen
title Planetary Gearbox Fault Diagnosis Using Envelope Manifold Demodulation
title_short Planetary Gearbox Fault Diagnosis Using Envelope Manifold Demodulation
title_full Planetary Gearbox Fault Diagnosis Using Envelope Manifold Demodulation
title_fullStr Planetary Gearbox Fault Diagnosis Using Envelope Manifold Demodulation
title_full_unstemmed Planetary Gearbox Fault Diagnosis Using Envelope Manifold Demodulation
title_sort planetary gearbox fault diagnosis using envelope manifold demodulation
publisher Hindawi Limited
series Shock and Vibration
issn 1070-9622
1875-9203
publishDate 2016-01-01
description The important issue in planetary gear fault diagnosis is to extract the dependable fault characteristics from the noisy vibration signal of planetary gearbox. To address this critical problem, an envelope manifold demodulation method is proposed for planetary gear fault detection in the paper. This method combines complex wavelet, manifold learning, and frequency spectrogram to implement planetary gear fault characteristic extraction. The vibration signal of planetary gear is demodulated by wavelet enveloping. The envelope energy is adopted as an indicator to select meshing frequency band. Manifold learning is utilized to reduce the effect of noise within meshing frequency band. The fault characteristic frequency of the planetary gear is shown by spectrogram. The planetary gearbox model and test rig are established and experiments with planet gear faults are conducted for verification. All results of experiment analysis demonstrate its effectiveness and reliability.
url http://dx.doi.org/10.1155/2016/3952325
work_keys_str_mv AT weigangwen planetarygearboxfaultdiagnosisusingenvelopemanifolddemodulation
AT robertxgao planetarygearboxfaultdiagnosisusingenvelopemanifolddemodulation
AT weidongcheng planetarygearboxfaultdiagnosisusingenvelopemanifolddemodulation
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