The Contact State Monitoring for Seal End Faces Based on Acoustic Emission Detection
Monitoring the contact state of seal end faces would help the early warning of the seal failure. In the acoustic emission (AE) detection for mechanical seal, the main difficulty is to reduce the background noise and to classify the dispersed features. To solve these problems and achieve higher detec...
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| Main Authors: | , , , , |
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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/10.1155/2016/8726781 |
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| _version_ | 1850172436152057856 |
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| author | Xiaohui Li Pan Fu Kan Chen Zhibin Lin Erqing Zhang |
| author_facet | Xiaohui Li Pan Fu Kan Chen Zhibin Lin Erqing Zhang |
| author_sort | Xiaohui Li |
| collection | DOAJ |
| description | Monitoring the contact state of seal end faces would help the early warning of the seal failure. In the acoustic emission (AE) detection for mechanical seal, the main difficulty is to reduce the background noise and to classify the dispersed features. To solve these problems and achieve higher detection rates, a new approach based on genetic particle filter with autoregression (AR-GPF) and hypersphere support vector machine (HSSVM) is presented. First, AR model is used to build the dynamic state space (DSS) of the AE signal, and GPF is used for signal filtering. Then, multiple features are extracted, and a classification model based on HSSVM is constructed for state recognition. In this approach, AR-GPF is an excellent time-domain method for noise reduction, and HSSVM has advantage on those dispersed features. Finally experimental data shows that the proposed method can effectively detect the contact state of the seal end faces and has higher accuracy rates than some other existing methods. |
| format | Article |
| id | doaj-art-c77edccac4414cb3a775cc3385aa0b95 |
| institution | OA Journals |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-c77edccac4414cb3a775cc3385aa0b952025-08-20T02:20:06ZengWileyShock and Vibration1070-96221875-92032016-01-01201610.1155/2016/87267818726781The Contact State Monitoring for Seal End Faces Based on Acoustic Emission DetectionXiaohui Li0Pan Fu1Kan Chen2Zhibin Lin3Erqing Zhang4School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaSichuan Sunny Seal Co. Ltd, Chengdu 610041, ChinaSchool of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaMonitoring the contact state of seal end faces would help the early warning of the seal failure. In the acoustic emission (AE) detection for mechanical seal, the main difficulty is to reduce the background noise and to classify the dispersed features. To solve these problems and achieve higher detection rates, a new approach based on genetic particle filter with autoregression (AR-GPF) and hypersphere support vector machine (HSSVM) is presented. First, AR model is used to build the dynamic state space (DSS) of the AE signal, and GPF is used for signal filtering. Then, multiple features are extracted, and a classification model based on HSSVM is constructed for state recognition. In this approach, AR-GPF is an excellent time-domain method for noise reduction, and HSSVM has advantage on those dispersed features. Finally experimental data shows that the proposed method can effectively detect the contact state of the seal end faces and has higher accuracy rates than some other existing methods.http://dx.doi.org/10.1155/2016/8726781 |
| spellingShingle | Xiaohui Li Pan Fu Kan Chen Zhibin Lin Erqing Zhang The Contact State Monitoring for Seal End Faces Based on Acoustic Emission Detection Shock and Vibration |
| title | The Contact State Monitoring for Seal End Faces Based on Acoustic Emission Detection |
| title_full | The Contact State Monitoring for Seal End Faces Based on Acoustic Emission Detection |
| title_fullStr | The Contact State Monitoring for Seal End Faces Based on Acoustic Emission Detection |
| title_full_unstemmed | The Contact State Monitoring for Seal End Faces Based on Acoustic Emission Detection |
| title_short | The Contact State Monitoring for Seal End Faces Based on Acoustic Emission Detection |
| title_sort | contact state monitoring for seal end faces based on acoustic emission detection |
| url | http://dx.doi.org/10.1155/2016/8726781 |
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