Power supply fault rapid detection system and method based on intelligent diagnosis engine

Through the power supply fault rapid detection system based on the intelligent diagnostic engine, the power supply fault is accurately and quickly detected and located by utilizing functional area division, real-time data acquisition, current model construction and directed graph construction, solving the problem of inaccurate fault location in the existing technology and improving the reliability and maintenance efficiency of the power supply system.

CN120085217BActive Publication Date: 2025-09-09QINGDAO YUANTONG ELECTRONICS
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Patent Information

Application Number
CN202510565750.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-04-30
Publication Date
2025-09-09
Estimated Expiration
2045-04-30

AI Technical Summary

Technical Problem

Existing power supply fault detection systems struggle to achieve accurate fault location and rapid response. Traditional methods have a slow response time when a fault occurs and may not accurately identify small changes in the current waveform, resulting in inaccurate fault location and affecting system reliability and availability.

Method used

A power supply fault rapid detection system based on an intelligent diagnostic engine is adopted. Through the functional area division module, real-time data acquisition module, current model construction module, trend prediction module, abnormality judgment module and fault location module, combined with current waveform matching and directed graph construction, rapid fault detection and location are achieved.

Benefits of technology

It achieves accurate and rapid detection and positioning of power supply faults, greatly improving the reliability and maintenance efficiency of the power supply system and avoiding the delays and misjudgments existing in traditional fault diagnosis methods.

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Abstract

The present invention discloses a power supply fault rapid detection system and method based on an intelligent diagnostic engine, which belongs to the technical field of fault diagnosis of power electronic equipment, and includes: a functional area division module mainly used to divide the power supply into multiple functional areas according to the power supply topology structure; a real-time data acquisition module mainly used to obtain parameter data of each functional area during the power supply operation stage; a current model construction module mainly used to establish a current time series prediction model; a trend prediction module mainly used to generate future current change trends; an abnormality judgment module mainly used to identify abnormal situations by performing similarity matching with real-time data; a fault location module mainly used to match abnormal current waveforms with fault modes, and construct a directed graph to locate the fault position; the advantages of the present invention are: through multimodal data fusion and deep learning models, early warning and precise positioning of power supply faults are achieved, and the operation and maintenance efficiency and reliability of power electronic equipment are significantly improved.
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