基于HMM的核动力旋转机械故障诊断的研究
Noise and Vibration Control(2007)
Abstract
隐Markov模型(HMM)已经证明是学习动态时间序列的概率模型的最广泛应用的工具之一,它可以使用一个隐变量来模拟系统的动态行为的变化。核动力旋转机械升速过程具有信息量大、信号非平稳、重复再现性不佳等特点,HMM很适合处理此类信号。将HMM引人到核动力旋转机械的故障诊断中,提出了一种基于HMM的故障诊断方法。
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Key words
fault diagnosis,vibration and wave,hidden Markov models (HMM),nuclear power rotating machinery,dynamical time series
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