Gearbox Fault Diagnosis Using Complementary Ensemble Empirical Mode Decomposition and Permutation Entropy
This paper presents an improved gearbox fault diagnosis approach by integrating complementary ensemble empirical mode decomposition (CEEMD) with permutation entropy (PE). The presented approach identifies faults appearing in a gearbox system based on PE values calculated from selected intrinsic mode...
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2016/3891429 |
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| _version_ | 1849683967141216256 |
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| author | Liye Zhao Wei Yu Ruqiang Yan |
| author_facet | Liye Zhao Wei Yu Ruqiang Yan |
| author_sort | Liye Zhao |
| collection | DOAJ |
| description | This paper presents an improved gearbox fault diagnosis approach by integrating complementary ensemble empirical mode decomposition (CEEMD) with permutation entropy (PE). The presented approach identifies faults appearing in a gearbox system based on PE values calculated from selected intrinsic mode functions (IMFs) of vibration signals decomposed by CEEMD. Specifically, CEEMD is first used to decompose vibration signals characterizing various defect severities into a series of IMFs. Then, filtered vibration signals are obtained from appropriate selection of IMFs, and correlation coefficients between the filtered signal and each IMF are used as the basis for useful IMFs selection. Subsequently, PE values of those selected IMFs are utilized as input features to a support vector machine (SVM) classifier for characterizing the defect severity of a gearbox. Case study conducted on a gearbox system indicates the effectiveness of the proposed approach for identifying the gearbox faults. |
| format | Article |
| id | doaj-art-cbb7090c7ede493a8ff39bfe4d57d93e |
| institution | DOAJ |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-cbb7090c7ede493a8ff39bfe4d57d93e2025-08-20T03:23:37ZengWileyShock and Vibration1070-96221875-92032016-01-01201610.1155/2016/38914293891429Gearbox Fault Diagnosis Using Complementary Ensemble Empirical Mode Decomposition and Permutation EntropyLiye Zhao0Wei Yu1Ruqiang Yan2School of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaSchool of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaSchool of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaThis paper presents an improved gearbox fault diagnosis approach by integrating complementary ensemble empirical mode decomposition (CEEMD) with permutation entropy (PE). The presented approach identifies faults appearing in a gearbox system based on PE values calculated from selected intrinsic mode functions (IMFs) of vibration signals decomposed by CEEMD. Specifically, CEEMD is first used to decompose vibration signals characterizing various defect severities into a series of IMFs. Then, filtered vibration signals are obtained from appropriate selection of IMFs, and correlation coefficients between the filtered signal and each IMF are used as the basis for useful IMFs selection. Subsequently, PE values of those selected IMFs are utilized as input features to a support vector machine (SVM) classifier for characterizing the defect severity of a gearbox. Case study conducted on a gearbox system indicates the effectiveness of the proposed approach for identifying the gearbox faults.http://dx.doi.org/10.1155/2016/3891429 |
| spellingShingle | Liye Zhao Wei Yu Ruqiang Yan Gearbox Fault Diagnosis Using Complementary Ensemble Empirical Mode Decomposition and Permutation Entropy Shock and Vibration |
| title | Gearbox Fault Diagnosis Using Complementary Ensemble Empirical Mode Decomposition and Permutation Entropy |
| title_full | Gearbox Fault Diagnosis Using Complementary Ensemble Empirical Mode Decomposition and Permutation Entropy |
| title_fullStr | Gearbox Fault Diagnosis Using Complementary Ensemble Empirical Mode Decomposition and Permutation Entropy |
| title_full_unstemmed | Gearbox Fault Diagnosis Using Complementary Ensemble Empirical Mode Decomposition and Permutation Entropy |
| title_short | Gearbox Fault Diagnosis Using Complementary Ensemble Empirical Mode Decomposition and Permutation Entropy |
| title_sort | gearbox fault diagnosis using complementary ensemble empirical mode decomposition and permutation entropy |
| url | http://dx.doi.org/10.1155/2016/3891429 |
| work_keys_str_mv | AT liyezhao gearboxfaultdiagnosisusingcomplementaryensembleempiricalmodedecompositionandpermutationentropy AT weiyu gearboxfaultdiagnosisusingcomplementaryensembleempiricalmodedecompositionandpermutationentropy AT ruqiangyan gearboxfaultdiagnosisusingcomplementaryensembleempiricalmodedecompositionandpermutationentropy |