Current-induced-heat-type defect evaluation method used for power equipment connecting part

Abstract

The invention discloses a current-induced-heat-type defect evaluation method used for a power equipment connecting part. The method includes the steps: selecting a tested article model aiming at a tested article, and establishing a testing circuit used for providing testing current; applying the testing current different in intensity on the tested article model through the testing circuit respectively, detecting heating temperature, corresponding to the testing current different in intensity, of a heating point of the tested article model, and calculating temperature rise relative to environmental temperature to acquire the testing current of the tested article model under each testing working condition and the temperature rise corresponding to the testing current; fitting the testing current of the tested article model under each testing working condition and the temperature rise corresponding to the testing current to acquire a fitting empirical equation between the testing current and the temperature rise; evaluating current-induced-heat-type defect of the tested article according to the fitting empirical equation. The current-induced-heat-type defect evaluation method has the advantages of accuracy and reliability in evaluation, wide application range, few needed parameters and convenience and quickness in operation.

Description

technical field [0001] The invention relates to the technical field of electric equipment detection, in particular to a current-induced heating defect evaluation method for connecting parts of electric equipment. Background technique [0002] Infrared temperature measurement plays an important role in the live detection of electrical primary equipment. In daily work, the number of infrared defects accounts for more than 80% of the total number of all live defects, and the current-induced heating defects account for the vast majority. After the defect is implemented, it enters the link of defect analysis and maintenance decision-making. Except for a few defects that require emergency power outages, most of them can be postponed until the next maintenance cycle or when the load is low. In the past, the prediction of the development of this defect mainly relied on the collective negotiation of the production personnel, which was highly subjective. For example, If the judgment ...

AI Technical Summary

Problems solved by technology

The current temperature prediction is mainly based on some simple discrimination methods, in which the temperature rise is: (highest load current/current load current) 2 × current temperature rise × 1.2, the overall influence coefficient in this method is fixed at 1.2, the inf...

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