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 | |
| 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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Cite this
Honda, S., & Yonekura, H. (2016). Detection of anomalies in stationary signals based on fluctuation-dissipation principle. International Journal of Applied Electromagnetics and Mechanics, 52(1-2), 55-60. https://doi.org/10.3233/JAE-162102