Fast calibration system and method for non-contact distributed fault location device

By extending Kalman filter modeling and dynamically adjusting the test strategy, the problems of wasted test resources and insufficient error detection in existing fault location device verification methods are solved, and efficient and accurate fault location device verification is achieved.

CN122568186BActive Publication Date: 2026-09-15南京谷贝电气科技有限公司
2 Cites 0 Cited by

Patent Information

Application Number
CN202611068843.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-07-17
Publication Date
2026-09-15
Estimated Expiration
2046-07-17

AI Technical Summary

Technical Problem

Existing fault location device verification methods cannot dynamically adjust the test range and step size, resulting in redundant testing in low-risk areas and insufficient testing in high-risk areas. Furthermore, they lack error evolution modeling, which affects verification efficiency and reliability.

Method used

An extended Kalman filter is used to establish an error state model. High-risk areas are identified through error state estimation, and second-stage test cases are automatically generated. The test range and step size are dynamically adjusted, and the test process is optimized by combining error gradient and model uncertainty.

Benefits of technology

It improved the utilization rate of testing resources, enhanced the ability to find error extreme points, improved the accuracy and reliability of verification results, reduced redundant testing, and improved verification efficiency.

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

Abstract

The application provides a rapid verification system and method for a non-contact distributed fault location device, a first stage test is performed on a to-be-tested fault location device based on a preset test specification, measurement results of a standard magnetic field sensor and the to-be-tested device are obtained, and a deviation value is calculated; an error state vector is constructed based on the deviation value, and a random walk model of extended Kalman filtering is used to recursively estimate the error state; a high-risk area sensitive to errors is determined in combination with a deviation change characteristic and a state covariance matrix, and a second stage test case is adaptively generated accordingly; error compensation correction is performed on the measurement results in the second stage test; and a comprehensive judgment is made on the verification result according to a maximum deviation, a root mean square deviation and a deviation change rate. The application can automatically generate a second stage test case according to the error state estimation result, improve the utilization rate of test resources, improve the error extreme point discovery capability, improve the verification efficiency and the reliability of the verification result.
Need to check novelty before this filing date? Find Prior Art