An Improved Dual-Kurtogram-Based T2 Control Chart for Condition Monitoring and Compound Fault Diagnosis of Rolling Bearings
Condition monitoring and compound fault diagnosis are crucial key points for ensuring the normal operation of rotating machinery. A novel method for condition monitoring and compound fault diagnosis based on the dual-kurtogram algorithm and multivariate statistical process control is established in...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/6649125 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832567484915384320 |
|---|---|
| author | Zhiyuan Jiao Wei Fan Zhenying Xu |
| author_facet | Zhiyuan Jiao Wei Fan Zhenying Xu |
| author_sort | Zhiyuan Jiao |
| collection | DOAJ |
| description | Condition monitoring and compound fault diagnosis are crucial key points for ensuring the normal operation of rotating machinery. A novel method for condition monitoring and compound fault diagnosis based on the dual-kurtogram algorithm and multivariate statistical process control is established in this study. The core idea of this method is the capability of the dual-kurtogram in extracting subbands. Vibration data under normal conditions are decomposed by the dual-kurtogram into two subbands. Then, the spectral kurtosis (SK) of Subband I and the envelope spectral kurtosis (ESK) of Subband II are formulated to construct a control limit based on kernel density estimation. Similarly, vibration data that need to be monitored are constructed into two subbands by the dual-kurtogram. The SK of Subband I and the ESK of Subband II are calculated to derive T2 statistics based on the covariance determinant. An alarm will be triggered when the T2 statistics exceed the control limit and suitable subbands for square envelope analysis are adopted to obtain the characteristic frequency. Simulation and experimental data are used to verify the feasibility of the proposed method. Results confirm that the proposed method can effectively perform condition monitoring and fault diagnosis. Furthermore, comparison studies show that the proposed method outperforms the traditional T2 control chart, envelope analysis, and empirical mode decomposition. |
| format | Article |
| id | doaj-art-e71b33f74634498bb9334dfb8a1ec745 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-e71b33f74634498bb9334dfb8a1ec7452025-02-03T01:01:25ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/66491256649125An Improved Dual-Kurtogram-Based T2 Control Chart for Condition Monitoring and Compound Fault Diagnosis of Rolling BearingsZhiyuan Jiao0Wei Fan1Zhenying Xu2School of Mechanical Engineering, Jiangsu University, Zhenjiang, ChinaSchool of Mechanical Engineering, Jiangsu University, Zhenjiang, ChinaSchool of Mechanical Engineering, Jiangsu University, Zhenjiang, ChinaCondition monitoring and compound fault diagnosis are crucial key points for ensuring the normal operation of rotating machinery. A novel method for condition monitoring and compound fault diagnosis based on the dual-kurtogram algorithm and multivariate statistical process control is established in this study. The core idea of this method is the capability of the dual-kurtogram in extracting subbands. Vibration data under normal conditions are decomposed by the dual-kurtogram into two subbands. Then, the spectral kurtosis (SK) of Subband I and the envelope spectral kurtosis (ESK) of Subband II are formulated to construct a control limit based on kernel density estimation. Similarly, vibration data that need to be monitored are constructed into two subbands by the dual-kurtogram. The SK of Subband I and the ESK of Subband II are calculated to derive T2 statistics based on the covariance determinant. An alarm will be triggered when the T2 statistics exceed the control limit and suitable subbands for square envelope analysis are adopted to obtain the characteristic frequency. Simulation and experimental data are used to verify the feasibility of the proposed method. Results confirm that the proposed method can effectively perform condition monitoring and fault diagnosis. Furthermore, comparison studies show that the proposed method outperforms the traditional T2 control chart, envelope analysis, and empirical mode decomposition.http://dx.doi.org/10.1155/2021/6649125 |
| spellingShingle | Zhiyuan Jiao Wei Fan Zhenying Xu An Improved Dual-Kurtogram-Based T2 Control Chart for Condition Monitoring and Compound Fault Diagnosis of Rolling Bearings Shock and Vibration |
| title | An Improved Dual-Kurtogram-Based T2 Control Chart for Condition Monitoring and Compound Fault Diagnosis of Rolling Bearings |
| title_full | An Improved Dual-Kurtogram-Based T2 Control Chart for Condition Monitoring and Compound Fault Diagnosis of Rolling Bearings |
| title_fullStr | An Improved Dual-Kurtogram-Based T2 Control Chart for Condition Monitoring and Compound Fault Diagnosis of Rolling Bearings |
| title_full_unstemmed | An Improved Dual-Kurtogram-Based T2 Control Chart for Condition Monitoring and Compound Fault Diagnosis of Rolling Bearings |
| title_short | An Improved Dual-Kurtogram-Based T2 Control Chart for Condition Monitoring and Compound Fault Diagnosis of Rolling Bearings |
| title_sort | improved dual kurtogram based t2 control chart for condition monitoring and compound fault diagnosis of rolling bearings |
| url | http://dx.doi.org/10.1155/2021/6649125 |
| work_keys_str_mv | AT zhiyuanjiao animproveddualkurtogrambasedt2controlchartforconditionmonitoringandcompoundfaultdiagnosisofrollingbearings AT weifan animproveddualkurtogrambasedt2controlchartforconditionmonitoringandcompoundfaultdiagnosisofrollingbearings AT zhenyingxu animproveddualkurtogrambasedt2controlchartforconditionmonitoringandcompoundfaultdiagnosisofrollingbearings AT zhiyuanjiao improveddualkurtogrambasedt2controlchartforconditionmonitoringandcompoundfaultdiagnosisofrollingbearings AT weifan improveddualkurtogrambasedt2controlchartforconditionmonitoringandcompoundfaultdiagnosisofrollingbearings AT zhenyingxu improveddualkurtogrambasedt2controlchartforconditionmonitoringandcompoundfaultdiagnosisofrollingbearings |