A high-voltage cable fault diagnosis method based on space-time attention
By constructing a node spatial correlation matrix and a propagation delay benchmark matrix, and combining CNN and LSTM models for spatiotemporal attention analysis, the spatiotemporal correlation problem of multi-node, multi-source heterogeneous sensor data was solved, enabling accurate location and interpretable diagnosis of high-voltage cable faults.
CN122449280APending Publication Date: 2026-07-24SHANGYU HANGXIE THERMOELECTRICITY CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGYU HANGXIE THERMOELECTRICITY CO LTD
- Filing Date
- 2026-06-02
- Publication Date
- 2026-07-24
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Figure CN122449280A_ABST
Abstract
The application discloses a high-voltage cable fault diagnosis method based on space-time attention, relates to the field of high-voltage cable fault diagnosis, and comprises the following steps: acquiring reference operation data of a high-voltage cable, and constructing a one-dimensional node path coordinate, a node space correlation matrix and a propagation time delay reference matrix; dividing a time window of a reference sampling interval, extracting partial discharge, sheath current and temperature characteristics, forming a reference state matrix, a fluctuation boundary matrix and a characteristic effectiveness mask; acquiring real-time monitoring data and constructing a real-time state matrix, calculating a boundary deviation matrix, extracting spatial deviation characteristics through CNN and extracting fault time sequence characteristics through LSTM; combining space attention and time attention to generate comprehensive fault diagnosis characteristics, outputting a fault type, a fault position and a probability, and realizing real-time diagnosis and explainable positioning of high-voltage cable faults.
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