FAULT DIAGNOSIS APPROACH BASED ON HIDDEN MARKOV MODEL AND SUPPORT VECTOR MACHINE
Aiming at solving the problems of machine-learning in fault diagnosis, a diagnosis approach is proposed based on hidden Markov model （HMM） and support vector machine （SVM）. HMM usually describes intra-class measure well and is good at dealing with continuous dynamic signals. SVM expresses inter-clas...
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| Veröffentlicht in: | Chinese journal of mechanical engineering 2007-10, Vol.20 (5), p.92-95 |
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| container_title | Chinese journal of mechanical engineering |
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| creator | LIU, Guanjun |
| description | Aiming at solving the problems of machine-learning in fault diagnosis, a diagnosis approach is proposed based on hidden Markov model （HMM） and support vector machine （SVM）. HMM usually describes intra-class measure well and is good at dealing with continuous dynamic signals. SVM expresses inter-class difference effectively and has perfect classify ability. This approach is built on the merit of HMM and SVM. Then, the experiment is made in the transmission system of a helicopter. With the features extracted from vibration signals in gearbox, this HMM-SVM based diagnostic approach is trained and used to monitor and diagnose the gearbox＇s faults. The result shows that this method is better than HMM-based and SVM-based diagnosing methods in higher diagnostic accuracy with small training samples. |
| doi_str_mv | 10.3901/CJME.2007.05.092 |
| format | Article |
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| identifier | ISSN: 1000-9345 |
| ispartof | Chinese journal of mechanical engineering, 2007-10, Vol.20 (5), p.92-95 |
| issn | 1000-9345 2192-8258 |
| language | eng |
| recordid | cdi_wanfang_journals_jxgcxb_e200705019 |
| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | 技术性能 支持矢量 机械诊断 模型设计 |
| title | FAULT DIAGNOSIS APPROACH BASED ON HIDDEN MARKOV MODEL AND SUPPORT VECTOR MACHINE |
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