Multivariate-Time-Series-Driven Real-time Anomaly Detection Based on Bayesian Network

Anomaly detection is an important research direction, which takes the real-time information system from different sensors and conditional information sources into consideration. Based on this, we can detect possible anomalies expected of the devices and components. One of the challenges is anomaly d...

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Bibliographic Details

Published in:	Sensors (Basel, Switzerland) Vol. 18; no. 10; p. 3367
Main Authors:	Ding, Nan, Gao, Huanbo, Bu, Hongyu, Ma, Haoxuan, Si, Huaiwei
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI 09.10.2018 MDPI AG
Subjects:	anomaly detection bayesian network hierarchical temporal memory multivariate-sensing time-series bayesian network anomaly detection multivariate-sensing time-series hierarchical temporal memory
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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