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

Satoshi Honda, Hiromitsu Yonekura

Research output: Contribution to journalArticle

Abstract

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
Volume52
Issue number1-2
DOIs
Publication statusPublished - 2016

Fingerprint

dissipation
Acoustic waves
anomalies
Engines
engines
generators
breakdown
acoustics

Keywords

  • 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

Cite this

Detection of anomalies in stationary signals based on fluctuation-dissipation principle. / Honda, Satoshi; Yonekura, Hiromitsu.

In: International Journal of Applied Electromagnetics and Mechanics, Vol. 52, No. 1-2, 2016, p. 55-60.

Research output: Contribution to journalArticle

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