Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects
To early identify cylindrical roller bearing failures, this paper proposes a comprehensive bearing fault diagnosis method, which consists of spectral kurtosis analysis for finding the most informative subband signal well representing abnormal symptoms about the bearing failures, fault signature calc...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2015/814650 |
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| _version_ | 1832568015388934144 |
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| author | In-Kyu Jeong Myeongsu Kang Jaeyoung Kim Jong-Myon Kim Jeong-Min Ha Byeong-Keun Choi |
| author_facet | In-Kyu Jeong Myeongsu Kang Jaeyoung Kim Jong-Myon Kim Jeong-Min Ha Byeong-Keun Choi |
| author_sort | In-Kyu Jeong |
| collection | DOAJ |
| description | To early identify cylindrical roller bearing failures, this paper proposes a comprehensive bearing fault diagnosis method, which consists of spectral kurtosis analysis for finding the most informative subband signal well representing abnormal symptoms about the bearing failures, fault signature calculation using this subband signal, enhanced distance evaluation technique- (EDET-) based fault signature analysis that outputs the most discriminative fault features for accurate diagnosis, and identification of various single and multiple-combined cylindrical roller bearing defects using the simplified fuzzy adaptive resonance map (SFAM). The proposed comprehensive bearing fault diagnosis methodology is effective for accurate bearing fault diagnosis, yielding an average classification accuracy of 90.35%. In this paper, the proposed EDET specifically addresses shortcomings in the conventional distance evaluation technique (DET) by accurately estimating the sensitivity of each fault signature for each class. To verify the efficacy of the EDET-based fault signature analysis for accurate diagnosis, a diagnostic performance comparison is carried between the proposed EDET and the conventional DET in terms of average classification accuracy. In fact, the proposed EDET achieves up to 106.85% performance improvement over the conventional DET in average classification accuracy. |
| format | Article |
| id | doaj-art-9985a63965674b5da0182e4dee29f9d0 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-9985a63965674b5da0182e4dee29f9d02025-02-03T00:59:52ZengWileyShock and Vibration1070-96221875-92032015-01-01201510.1155/2015/814650814650Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing DefectsIn-Kyu Jeong0Myeongsu Kang1Jaeyoung Kim2Jong-Myon Kim3Jeong-Min Ha4Byeong-Keun Choi5School of Electrical, Electronics and Computer Engineering, University of Ulsan, Ulsan 680-749, Republic of KoreaSchool of Electrical, Electronics and Computer Engineering, University of Ulsan, Ulsan 680-749, Republic of KoreaSchool of Electrical, Electronics and Computer Engineering, University of Ulsan, Ulsan 680-749, Republic of KoreaSchool of Electrical, Electronics and Computer Engineering, University of Ulsan, Ulsan 680-749, Republic of KoreaDepartment of Energy and Mechanical Engineering, Gyeongsang National University, Tongyeong 650-160, Republic of KoreaDepartment of Energy and Mechanical Engineering, Gyeongsang National University, Tongyeong 650-160, Republic of KoreaTo early identify cylindrical roller bearing failures, this paper proposes a comprehensive bearing fault diagnosis method, which consists of spectral kurtosis analysis for finding the most informative subband signal well representing abnormal symptoms about the bearing failures, fault signature calculation using this subband signal, enhanced distance evaluation technique- (EDET-) based fault signature analysis that outputs the most discriminative fault features for accurate diagnosis, and identification of various single and multiple-combined cylindrical roller bearing defects using the simplified fuzzy adaptive resonance map (SFAM). The proposed comprehensive bearing fault diagnosis methodology is effective for accurate bearing fault diagnosis, yielding an average classification accuracy of 90.35%. In this paper, the proposed EDET specifically addresses shortcomings in the conventional distance evaluation technique (DET) by accurately estimating the sensitivity of each fault signature for each class. To verify the efficacy of the EDET-based fault signature analysis for accurate diagnosis, a diagnostic performance comparison is carried between the proposed EDET and the conventional DET in terms of average classification accuracy. In fact, the proposed EDET achieves up to 106.85% performance improvement over the conventional DET in average classification accuracy.http://dx.doi.org/10.1155/2015/814650 |
| spellingShingle | In-Kyu Jeong Myeongsu Kang Jaeyoung Kim Jong-Myon Kim Jeong-Min Ha Byeong-Keun Choi Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects Shock and Vibration |
| title | Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects |
| title_full | Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects |
| title_fullStr | Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects |
| title_full_unstemmed | Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects |
| title_short | Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects |
| title_sort | enhanced det based fault signature analysis for reliable diagnosis of single and multiple combined bearing defects |
| url | http://dx.doi.org/10.1155/2015/814650 |
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