Spatial-Temporal Dependency Based Multivariate Time Series Anomaly Detection for Industrial Processes

Q. Q. Sun; Yinghong Li; Zhenpeng Hu; Chunjie Zhou; Lu Liu

doi:10.1007/978-981-97-5618-6_18

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Spatial-Temporal Dependency Based Multivariate Time Series Anomaly Detection for Industrial Processes

Q. Q. Sun Yinghong Li Zhenpeng Hu Chunjie Zhou Lu Liu

Year: 2024 Lecture notes in computer science Pages: 212-223 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-97-5618-6_18

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Keywords:

Computer science Dependency (UML) Anomaly detection Multivariate statistics Series (stratigraphy) Time series Anomaly (physics) Data mining Artificial intelligence Machine learning Geology

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Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Spatial-Temporal Dependency Based Multivariate Time Series Anomaly Detection for Industrial Processes

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