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2D-HIDDEN MARKOV MODEL FEATURE EXTRACTION STRATEGY OF ROTATING MACHINERY FAULT DIAGNOSIS 被引量:1
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作者 YE Dapeng DING Qiquan WU Zhaotong 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2006年第1期156-158,共3页
A new feature extraction method based on 2D-hidden Markov model(HMM) is proposed. Meanwhile the time index and frequency index are introduced to represent the new features. The new feature extraction strategy is tes... A new feature extraction method based on 2D-hidden Markov model(HMM) is proposed. Meanwhile the time index and frequency index are introduced to represent the new features. The new feature extraction strategy is tested by the experimental data that collected from Bently rotor experiment system. The results show that this methodology is very effective to extract the feature of vibration signals in the rotor speed-up course and can be extended to other non-stationary signal analysis fields in the future. 展开更多
关键词 Fault diagnosis Rotating machinery 2D-hidden markov model(HMM)Feature extraction
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