Industrial computed tomography based intelligent non-destructive testing method for power capacitor

TL;DR

This paper presents an ICT-based intelligent non-destructive testing method for power capacitors, utilizing image scanning, SSD defect recognition, and data augmentation to enhance testing accuracy and automation.

Contribution

It introduces an automated ICT-based testing framework with defect recognition and data augmentation, improving the reliability of power capacitor inspections.

Findings

Effective defect detection in power capacitors

Enhanced model stability through data augmentation

Automated testing process for power devices

Abstract

Power capacitor device is a widely used reactive power compensation equipment in power transmission and distribution system which can easily have internal fault and therefore affects the safe operation of the power system. An intelligent non-destructive testing (I-NDT) method based on ICT is proposed to test the quality of power capacitors automatically in this study. The internal structure of power capacitors would be scanned by the ICT device and then defects could be recognized by the SSD algorithm. Moreover, the data data augmentation algorithm is used to extend the image set to improve the stability and accuracy of the trained SSD model.