Detection of anomalies in stationary signals based on fluctuation-dissipation principle

Satoshi Honda, Hiromitsu Yonekura

Research output: Contribution to journalArticle


This paper describes the detection method of the anomalies in signals proposed by Okabe et al. based on their KM-2O-Langevin framework; breakdown points of the stationarity can be detected to give the sign of anomalies. The method was applied to the sound signals to monitor the state of a generator engine and showed its feasibility.

Original languageEnglish
Pages (from-to)55-60
Number of pages6
JournalInternational Journal of Applied Electromagnetics and Mechanics
Issue number1-2
Publication statusPublished - 2016



  • Anomaly detection
  • fluctuation-dissipation principle
  • stationarity test

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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