Presentation 2012/1/12
Gaussian Processes based Pre-fault detection with multi-resolutional temporal analysis
Shinsaku OZAKI, Hisae SHIBUYA, Shunji MAEDA, Toshikazu WADA,
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Abstract(in English) We have been proposed a pre-fault detection system based on Gaussian Processes (GP). The advantage of GP based pre-fault detection is that it can estimate not only the estimated output but also the standard deviation of the output. However, the anomaly can sometimes be detected as short-term phenomena and sometimes as long-term tendency. If we simply apply GP to high-dimensional vectors sampled within wide temporal window, the method requires huge number of training samples to keep the sensitivity and the accuracy. This is because GP is an example based non-linear regression method. For solving this problem, we introduce a multi-resolutional analysis along temporal axis that produces multiple signals with different smoothing windows from a single signal. By applying our GP based pre-fault detection method to these multi-scale signals, we can realize a versatile and reliable pre-fault detection system.
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Keyword(in English) Anomaly detection / Gaussian Processes / Statistical and temporal analysis
Paper # MVE2011-68,PRMU2011-159
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Committee MVE
Conference Date 2012/1/12(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Gaussian Processes based Pre-fault detection with multi-resolutional temporal analysis
Sub Title (in English)
Keyword(1) Anomaly detection
Keyword(2) Gaussian Processes
Keyword(3) Statistical and temporal analysis
1st Author's Name Shinsaku OZAKI
1st Author's Affiliation Graduate School of Systems Engineering, Wakayama University()
2nd Author's Name Hisae SHIBUYA
2nd Author's Affiliation Yokohama Research Laboratory, Hitachi, Ltd.
3rd Author's Name Shunji MAEDA
3rd Author's Affiliation Yokohama Research Laboratory, Hitachi, Ltd.
4th Author's Name Toshikazu WADA
4th Author's Affiliation Graduate School of Systems Engineering, Wakayama University
Date 2012/1/12
Paper # MVE2011-68,PRMU2011-159
Volume (vol) vol.111
Number (no) 380
Page pp.pp.-
#Pages 6
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