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Position: Home > Articles > Fault Diagnosis in Speed-up Process of a Rotating Machine Based on Wavelet Packet and 2DHMM Transactions of the Chinese Society for Agricultural Machinery 2004,35 (1) 117-120

基于小波包的2D-HMM旋转机械升速过程故障诊断

作  者:
叶大鹏;丁启全;吴昭同
单  位:
浙江大学机械与能源工程学院
关键词:
旋转机械;故障诊断;小波包;二维隐马尔可夫模型
摘  要:
利用小波包分解对信号进行精确细分的特点 ,构造出相应的能量谱作为旋转机械运行状态的特征向量 ,并以此作为 2 D HMM的输入进行训练 ,建立了基于 2 D HMM的旋转机械运行状态分类器 ,用以识别机组状态。最后通过 Bently- Nevada转子试验系统验证了该方法的有效性
译  名:
Fault Diagnosis in Speed-up Process of a Rotating Machine Based on Wavelet Packet and 2DHMM
作  者:
Ye Dapeng Ding Qiquan Wu Zhaotong (Zhejiang University)
关键词:
Rotating machine, Fault diagnosis, Wavelet packet, 2DHMM
摘  要:
The energy spectrum from the wavelet packet decomposition can be used as feature vectors of running state of a rotating machine to train 2DHMM. So the classified model based on 2DHMM was constructed. The new model was tested with the experimental data collected from a BentlyNevada rotor experimental system and the result demonstrated that the model was effective to classify classical faults in speed up process of a rotating machine.

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