抄録
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.
| 本文言語 | English |
|---|---|
| ページ（範囲） | 55-60 |
| ページ数 | 6 |
| ジャーナル | International Journal of Applied Electromagnetics and Mechanics |
| 巻 | 52 |
| 号 | 1-2 |
| DOI | |
| 出版ステータス | Published - 2016 |
ASJC Scopus subject areas
- 電子材料、光学材料、および磁性材料
- 凝縮系物理学
- 材料力学
- 機械工学
- 電子工学および電気工学