A real-time anomaly detection algorithm/or water quality data using dual time-moving windows

Anomaly data in real-time water quality monitoring systems can cause false alarms and significantly decrease system stability and reliability. We propose a novel anomaly detection algorithm for water quality data using dual time-moving windows, which can identify anomaly data from historical pattern...

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Veröffentlicht in:	2017 Seventh International Conference on Innovative Computing Technology (INTECH) S. 36 - 41
Hauptverfasser:	Jin Zhang, Xiaohui Zhu, Yong Yue, Wong, Prudence W. H.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2017
Schlagworte:	anomaly data detection autoregressive linear combination model backtracking verification Computers Conferences dual time-moving windows
Online-Zugang:	Volltext
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