旋转机械升降速过程BSI-FHMM识别方法的研究

Study on BSI-FHMM Recognition Method in Speedup & Speeddown Process of a Rotating Machinery

结合时序模型的盲辨识和因子隐 Markov模型 ,提出了基于时序模型盲辨识的特征提取方法建立机组各状态相应的 FHMM识别法 ,成功地应用到旋转机械升降速过程的故障诊断中 ,实验结果表明 。

In this paper, combined BSI with FHMM, a fault diagnosis approach named BSI-FHMM was presented. This approach was that BSI was used as fault feature extraction, and FHMM as the classifier, fault classification in Speed_up & Speed down (SUSD) process of a rotating machinery were successfully completed. Experimental results show that this approach is very effective.