Anomaly detection in multidimensional time series for water injection pump operations based on LSTMA-AE and mechanism constraints

Anomaly detection in multidimensional time series for water injection pump operations based on LSTMA-AE and mechanism constraints

Abstract Addressing the issues of inadequate information exchange among subsequences in the operational time series of water injection pumps, leading to low accuracy and high false alarm rates in anomaly detection, this paper proposes a multidimensional time series anomaly detection method for water...

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Bibliographic Details
Main Authors: Mei Wang, Xinyuan Zhu, Guangyue Zhou, Kewen Li, Qingshan Wu, Wankai Fan
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Water Injection Pump
Multidimensional Time Series Data
Anomaly Detection
Autoencoder
Online Access:https://doi.org/10.1038/s41598-025-85436-x
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https://doi.org/10.1038/s41598-025-85436-x

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