Machine diagnosis shows improved accuracy using simplified methods and autoregressive models, suggesting enhanced reliability in maintenance practices.
In order to diagnose machines accurately, the method of calculating Kurtosis or Bicoherence was utilized. Calculating system parameter distance was also utilized to apply time series data to Autoregressive (AR) model or Autoregressive Moving Average (ARMA) model. In this paper, a simplified method of calculating autocorrelation function is introduced and it is utilized for AR model identification. Furthermore, absolute deterioration factor such as Bicoherence is introduced. Machine diagnosis can be executed by this simplified method of calculating system parameter distance with weight. Useful results were obtained.
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竹安 et al. (2008) studied this question.
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