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 |
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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