A comparison study of support vector machines and hidden Markov models in machinery condition monitoring

作者：Miao, Qiang; Huang, Hong-Zhong^*; Fan, Xianfeng

来源：Journal of Mechanical Science and Technology, 2007, 21(4): 607-615.

DOI：10.1007/BF03026965

• pattern recognition
• feature extraction
• hidden markov model
• support vector machine

Condition classification is an important step in machinery fault detection, which is a problem of pattern recognition. Currently, there are a lot of techniques in this area and the purpose of this paper is to investigate two popular recognition techniques, namely hidden Markov model and support vector machine. At the beginning, we briefly introduced the procedure of feature extraction and the theoretical background of this paper. The comparison experiment was conducted for gearbox fault detection and the analysis results from this work showed that support vector machine has better classification performance in this area.

• 出版日期2007-4
• 单位电子科技大学