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

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
Main Authors: Nan Ding, Huanbo Gao, Hongyu Bu, Haoxuan Ma, Huaiwei Si
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
multivariate-sensing time-series
anomaly detection
hierarchical temporal memory
bayesian network
Online Access:http://www.mdpi.com/1424-8220/18/10/3367

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