Machine diagnosis is enhanced using simplified ARMA modeling techniques, suggesting improved accuracy.
In order to diagnose machines accurately, the Kurtosis and Bicoherence methods were 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, simplified calculation method of autocorrelation function is introduced and it is utilized for ARMA 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. Useful results were obtained.
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TAKEYASU et al. (2007) studied this question.
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