Casing Vibration Fault Diagnosis Based on Variational Mode Decomposition, Local Linear Embedding, and Support Vector Machine
To diagnose mechanical faults of rotor-bearing-casing system by analyzing its casing vibration signal, this paper proposes a training procedure of a fault classifier based on variational mode decomposition (VMD), local linear embedding (LLE), and support vector machine (SVM). VMD is used first to de...
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Format: | Article |
Language: | English |
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Wiley
2017-01-01
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Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2017/5963239 |
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author | Yizhou Yang Dongxiang Jiang |
author_facet | Yizhou Yang Dongxiang Jiang |
author_sort | Yizhou Yang |
collection | DOAJ |
description | To diagnose mechanical faults of rotor-bearing-casing system by analyzing its casing vibration signal, this paper proposes a training procedure of a fault classifier based on variational mode decomposition (VMD), local linear embedding (LLE), and support vector machine (SVM). VMD is used first to decompose the casing signal into several modes, which are subsignals usually modulated by fault frequencies. Vibrational features are extracted from both VMD subsignals and the original one. LLE is employed here to reduce the dimensionality of these extracted features and make the samples more separable. Then low-dimensional data sets are used to train the multiclass SVM whose accuracy is tested by classifying the test samples. When the parameters of LLE and SVM are well optimized, this proposed method performs well on experimental data, showing its capacity of diagnosing casing vibration faults. |
format | Article |
id | doaj-art-11c4bad763504a5e9ae4bc956f033558 |
institution | Kabale University |
issn | 1070-9622 1875-9203 |
language | English |
publishDate | 2017-01-01 |
publisher | Wiley |
record_format | Article |
series | Shock and Vibration |
spelling | doaj-art-11c4bad763504a5e9ae4bc956f0335582025-02-03T01:12:15ZengWileyShock and Vibration1070-96221875-92032017-01-01201710.1155/2017/59632395963239Casing Vibration Fault Diagnosis Based on Variational Mode Decomposition, Local Linear Embedding, and Support Vector MachineYizhou Yang0Dongxiang Jiang1State Key Lab of Control and Simulation of Power Systems and Generation Equipment, Department of Thermal Engineering, Tsinghua University, Beijing 100084, ChinaState Key Lab of Control and Simulation of Power Systems and Generation Equipment, Department of Thermal Engineering, Tsinghua University, Beijing 100084, ChinaTo diagnose mechanical faults of rotor-bearing-casing system by analyzing its casing vibration signal, this paper proposes a training procedure of a fault classifier based on variational mode decomposition (VMD), local linear embedding (LLE), and support vector machine (SVM). VMD is used first to decompose the casing signal into several modes, which are subsignals usually modulated by fault frequencies. Vibrational features are extracted from both VMD subsignals and the original one. LLE is employed here to reduce the dimensionality of these extracted features and make the samples more separable. Then low-dimensional data sets are used to train the multiclass SVM whose accuracy is tested by classifying the test samples. When the parameters of LLE and SVM are well optimized, this proposed method performs well on experimental data, showing its capacity of diagnosing casing vibration faults.http://dx.doi.org/10.1155/2017/5963239 |
spellingShingle | Yizhou Yang Dongxiang Jiang Casing Vibration Fault Diagnosis Based on Variational Mode Decomposition, Local Linear Embedding, and Support Vector Machine Shock and Vibration |
title | Casing Vibration Fault Diagnosis Based on Variational Mode Decomposition, Local Linear Embedding, and Support Vector Machine |
title_full | Casing Vibration Fault Diagnosis Based on Variational Mode Decomposition, Local Linear Embedding, and Support Vector Machine |
title_fullStr | Casing Vibration Fault Diagnosis Based on Variational Mode Decomposition, Local Linear Embedding, and Support Vector Machine |
title_full_unstemmed | Casing Vibration Fault Diagnosis Based on Variational Mode Decomposition, Local Linear Embedding, and Support Vector Machine |
title_short | Casing Vibration Fault Diagnosis Based on Variational Mode Decomposition, Local Linear Embedding, and Support Vector Machine |
title_sort | casing vibration fault diagnosis based on variational mode decomposition local linear embedding and support vector machine |
url | http://dx.doi.org/10.1155/2017/5963239 |
work_keys_str_mv | AT yizhouyang casingvibrationfaultdiagnosisbasedonvariationalmodedecompositionlocallinearembeddingandsupportvectormachine AT dongxiangjiang casingvibrationfaultdiagnosisbasedonvariationalmodedecompositionlocallinearembeddingandsupportvectormachine |