Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine
Bearing fault diagnosis has attracted significant attention over the past few decades. It consists of two major parts: vibration signal feature extraction and condition classification for the extracted features. In this paper, multiscale permutation entropy (MPE) was introduced for feature extractio...
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MDPI AG
2012-07-01
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| Series: | Entropy |
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| Online Access: | http://www.mdpi.com/1099-4300/14/8/1343 |
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doaj-42f4713c80194f9991c9939a35c0ffab2020-11-24T20:54:20ZengMDPI AGEntropy1099-43002012-07-011481343135610.3390/e14081343Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector MachineJian-Jiun DingChun-Chieh WangChiu-Wen WuPo-Hung WuShuen-De WuBearing fault diagnosis has attracted significant attention over the past few decades. It consists of two major parts: vibration signal feature extraction and condition classification for the extracted features. In this paper, multiscale permutation entropy (MPE) was introduced for feature extraction from faulty bearing vibration signals. After extracting feature vectors by MPE, the support vector machine (SVM) was applied to automate the fault diagnosis procedure. Simulation results demonstrated that the proposed method is a very powerful algorithm for bearing fault diagnosis and has much better performance than the methods based on single scale permutation entropy (PE) and multiscale entropy (MSE).http://www.mdpi.com/1099-4300/14/8/1343<strong> </strong>fault diagnosismachine vibrationmultiscalepermutation entropymultiscale permutation entropysupport vector machine |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Jian-Jiun Ding Chun-Chieh Wang Chiu-Wen Wu Po-Hung Wu Shuen-De Wu |
| spellingShingle |
Jian-Jiun Ding Chun-Chieh Wang Chiu-Wen Wu Po-Hung Wu Shuen-De Wu Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine Entropy <strong> </strong>fault diagnosis machine vibration multiscale permutation entropy multiscale permutation entropy support vector machine |
| author_facet |
Jian-Jiun Ding Chun-Chieh Wang Chiu-Wen Wu Po-Hung Wu Shuen-De Wu |
| author_sort |
Jian-Jiun Ding |
| title |
Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine |
| title_short |
Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine |
| title_full |
Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine |
| title_fullStr |
Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine |
| title_full_unstemmed |
Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine |
| title_sort |
bearing fault diagnosis based on multiscale permutation entropy and support vector machine |
| publisher |
MDPI AG |
| series |
Entropy |
| issn |
1099-4300 |
| publishDate |
2012-07-01 |
| description |
Bearing fault diagnosis has attracted significant attention over the past few decades. It consists of two major parts: vibration signal feature extraction and condition classification for the extracted features. In this paper, multiscale permutation entropy (MPE) was introduced for feature extraction from faulty bearing vibration signals. After extracting feature vectors by MPE, the support vector machine (SVM) was applied to automate the fault diagnosis procedure. Simulation results demonstrated that the proposed method is a very powerful algorithm for bearing fault diagnosis and has much better performance than the methods based on single scale permutation entropy (PE) and multiscale entropy (MSE). |
| topic |
<strong> </strong>fault diagnosis machine vibration multiscale permutation entropy multiscale permutation entropy support vector machine |
| url |
http://www.mdpi.com/1099-4300/14/8/1343 |
| work_keys_str_mv |
AT jianjiunding bearingfaultdiagnosisbasedonmultiscalepermutationentropyandsupportvectormachine AT chunchiehwang bearingfaultdiagnosisbasedonmultiscalepermutationentropyandsupportvectormachine AT chiuwenwu bearingfaultdiagnosisbasedonmultiscalepermutationentropyandsupportvectormachine AT pohungwu bearingfaultdiagnosisbasedonmultiscalepermutationentropyandsupportvectormachine AT shuendewu bearingfaultdiagnosisbasedonmultiscalepermutationentropyandsupportvectormachine |
| _version_ |
1716794834682904576 |