General control method of transformer and reactor comprehensive test system

The power evolution data of transformers and reactors are obtained through multi-dimensional sensing arrays and power calculation acceleration algorithms. Combined with graph neural networks and self-calibration optimization technology, a power digital twin model with adaptive optimization capabilities is built, which solves the shortcomings of existing systems in the accuracy and comprehensiveness of fault diagnosis, and achieves higher diagnostic accuracy and equipment operation reliability.

CN119780591AInactive Publication Date: 2025-04-08JIANGSU JIANLI ELECTRONICS TECH
5 Cites 3 Cited by

Patent Information

Application Number
CN202510287981.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-12
Publication Date
2025-04-08
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing test systems of transformers and reactors are difficult to effectively capture the dynamic coupling relationship between various components of the equipment, resulting in insufficient accuracy and comprehensiveness of fault diagnosis.

Method used

The multi-dimensional sensing array is used to obtain power evolution data in real time, and the correlation between physical, electrical and thermal characteristics is mapped through the power calculation acceleration algorithm, and the initial power digital twin model is constructed, and the dynamic coupling effect is captured using graph neural network and graph attention mechanism, self-calibration optimization is performed to generate an evolutionary power digital twin model with adaptive optimization capabilities.

Benefits of technology

It improves the accuracy and real-time nature of system modeling, significantly improves the accuracy and prediction capabilities of fault diagnosis, and enhances the reliability and maintenance efficiency of equipment operation.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The present invention provides a general control method for a transformer and reactor comprehensive test system, which relates to the field of electrical control technology, including deploying a multi-dimensional sensor array to obtain power evolution data; establishing a multi-scale digital twin model to generate a power feature mapping matrix; using a graph neural network to realize cross-domain feature extraction, establishing a self-calibration optimization algorithm to generate an evolutionary power digital twin model; and constructing a hybrid power-classical fault diagnosis system to realize fault prediction and intelligent diagnosis. The present invention improves the accuracy and efficiency of transformer and reactor testing, and realizes the intelligence of multi-domain coupling analysis and fault prediction.
Need to check novelty before this filing date? Find Prior Art