論文

査読有り
2015年9月15日

Detection of Anomalies in Stationary Signals Based on Fluctuation-Dissipation Principle

Proc.ISEM2015
  • HONDA SATOSHI
  • ,
  • HIROMITSU
  • ,
  • YONEKURA

記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)

This paper describes the detection method of the anomalies in signals proposed by Okabe et al. based on their KM2O-Langevin framework; breakdown points of the stationarity can be detected to give the sign of anomalies.<br />
The method was applied to the sound signals to monitor the state of a generator engine and showed its feasibility.

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