Anomaly Detection Method for Multivariate Time Series Data of Oil and Gas Stations Based on Digital Twin and MTAD-GAN

Anomaly Detection Method for Multivariate Time Series Data of Oil and Gas Stations Based on Digital Twin and MTAD-GAN

Due to the complexity of the oil and gas station system, the operational data, with various temporal dependencies and inter-metric dependencies, has the characteristics of diverse patterns, variable working conditions and imbalance, which brings great challenges to multivariate time series anomaly d...

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Bibliographic Details
Main Authors: Yuanfeng Lian, Yueyao Geng, Tian Tian
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
digital twin
GAN
anomaly detection
temporal Hawkes attention
knowledge graph attention
Online Access:https://www.mdpi.com/2076-3417/13/3/1891

Internet

https://www.mdpi.com/2076-3417/13/3/1891

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