Introduces a simplified method to diagnose machines using autoregressive models, suggesting better diagnostic accuracy.
In order to make machine diagnosis, the method of calculating Kurtosis or Bicoherence was utilized. Calculating system parameter distance was also utilized applying time series data to Autoregressive (AR) model or Autoregressive Moving Average (ARMA) model. In this paper, simplified calculation method of 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 calculation method of system parameter distance. Good results are obtained.
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TAKEYASU et al. (2007) studied this question.
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