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

Satoshi Honda; Hiromitsu Yonekura

doi:10.3233/JAE-162102

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

Satoshi Honda, Hiromitsu Yonekura

Department of Applied Physics and Physico-Informatics

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	55-60
Number of pages	6
Journal	International Journal of Applied Electromagnetics and Mechanics
Volume	52
Issue number	1-2
DOIs	https://doi.org/10.3233/JAE-162102
Publication status	Published - 2016

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

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10.3233/JAE-162102

Cite this

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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.",

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

Abstract

Keywords

ASJC Scopus subject areas

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