THE APPLICATION OF PSO-SVM IN FAULT DIAGNOSIS OF CUTTING UNIT PLANETARY GEAR
If the fault is found in planetary gear of cutting unit in the shearer, the shearer will not be successful mining. In this paper, first, a variety of failure signal of reducer is collected and the parameters of support vector machine are optimized using PSO and the optimal classifier is obtained. se...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Strength
2018-01-01
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| Series: | Jixie qiangdu |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.06.004 |
| _version_ | 1797767808026673152 |
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| author | REN Zhong ZHANG TieShan |
| author_facet | REN Zhong ZHANG TieShan |
| author_sort | REN Zhong |
| collection | DOAJ |
| description | If the fault is found in planetary gear of cutting unit in the shearer, the shearer will not be successful mining. In this paper, first, a variety of failure signal of reducer is collected and the parameters of support vector machine are optimized using PSO and the optimal classifier is obtained. second the collected various signals are processed using classifier of Support Vector Machines. The results show that this method can diagnose the various fault of reducer quickly and accurately. The proposed method is contribute to achieve fault diagnosis of planetary gear real-time and automatically. |
| first_indexed | 2024-03-12T20:44:16Z |
| format | Article |
| id | doaj.art-8f859a93778948c1aa617199b5ff5068 |
| institution | Directory Open Access Journal |
| issn | 1001-9669 |
| language | zho |
| last_indexed | 2024-03-12T20:44:16Z |
| publishDate | 2018-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj.art-8f859a93778948c1aa617199b5ff50682023-08-01T07:48:03ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692018-01-01401293129630603134THE APPLICATION OF PSO-SVM IN FAULT DIAGNOSIS OF CUTTING UNIT PLANETARY GEARREN ZhongZHANG TieShanIf the fault is found in planetary gear of cutting unit in the shearer, the shearer will not be successful mining. In this paper, first, a variety of failure signal of reducer is collected and the parameters of support vector machine are optimized using PSO and the optimal classifier is obtained. second the collected various signals are processed using classifier of Support Vector Machines. The results show that this method can diagnose the various fault of reducer quickly and accurately. The proposed method is contribute to achieve fault diagnosis of planetary gear real-time and automatically.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.06.004 |
| spellingShingle | REN Zhong ZHANG TieShan THE APPLICATION OF PSO-SVM IN FAULT DIAGNOSIS OF CUTTING UNIT PLANETARY GEAR Jixie qiangdu |
| title | THE APPLICATION OF PSO-SVM IN FAULT DIAGNOSIS OF CUTTING UNIT PLANETARY GEAR |
| title_full | THE APPLICATION OF PSO-SVM IN FAULT DIAGNOSIS OF CUTTING UNIT PLANETARY GEAR |
| title_fullStr | THE APPLICATION OF PSO-SVM IN FAULT DIAGNOSIS OF CUTTING UNIT PLANETARY GEAR |
| title_full_unstemmed | THE APPLICATION OF PSO-SVM IN FAULT DIAGNOSIS OF CUTTING UNIT PLANETARY GEAR |
| title_short | THE APPLICATION OF PSO-SVM IN FAULT DIAGNOSIS OF CUTTING UNIT PLANETARY GEAR |
| title_sort | application of pso svm in fault diagnosis of cutting unit planetary gear |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.06.004 |
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