Industrial time series determinative anomaly detection based on constraint hypergraph

作者：

Highlights：

• The first constraint hypergraph-based anomaly detection method for time series.

• A size-adaptive vertex mincover strategy for determinative anomaly detection.

• A Dynamic Programming algorithm to match anomaly patterns.

• The algorithms outperform traditional algorithm with their own suitable scenarios.

摘要

•The first constraint hypergraph-based anomaly detection method for time series.•A size-adaptive vertex mincover strategy for determinative anomaly detection.•A Dynamic Programming algorithm to match anomaly patterns.•The algorithms outperform traditional algorithm with their own suitable scenarios.

论文关键词：Industrial time series,Anomaly detection,Constraint hypergraph

论文评审过程：Received 24 March 2021, Revised 26 September 2021, Accepted 28 September 2021, Available online 1 October 2021, Version of Record 11 October 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107548