基于隐马尔可夫模型的机器状态趋势预测方法

A Method Of Trends Predictions Of Machine Running Conditions Based On Hidden Markov Models

隐马尔可夫模型(HMM)提供了反映机械系统运行状态及故障信息一种新的信号模型,通过HMM问题的求解,可获得反映机器运行状态特征的信号模型,并应用于机器运行趋势进行预测。

A new signal model for information of machinerunning conditions and faults is provided by HiddenMarkov Models(HMM). Through solutions of problemsof HMM, the model of machine running conditions canbe obtained and can be applied to trends predictions ofmachine running conditions.