A Review of Defect Detection on Electrical Components Using Image Processing Technology

  • Geoffrey O. Asiegbu
  • Ahmed M. A. Haidar
  • Kamarul Hawari
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 221)

Abstract

Image processing technology in the recent years has gain lots of recognitions in the fields of electrical power system engineering. It has been widely used in detection of anomalies on electrical component parts. It has also been effectively applied during testing, inspection and preventive maintenance works. Current researches in thermal imaging technology have shown the interest in development of unsupervised computer aided scrutiny system. This is because of robustness and speed of defect detection analysis compared to conventional or traditional method of testing and inspection. Numerous methods have been used to detect and analyze abnormalities in electrical components such as infrared thermal image, x-ray image, binary, and gray scale images. Procedures normally used in scrutinizing defective components can be classified into five stages thus image acquisition, preprocessing, segmentation, classification and decision-making. This paper presents the review of electrical equipments defect detection techniques using different forms of image analysis approach in detecting and classifying the severity of defects in electrical components. Some advantages and disadvantages of these approaches are also elaborated.

Keywords

Image processing Anomaly detection Thermal inspection Preventive maintenance 

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Copyright information

© Springer India 2013

Authors and Affiliations

  • Geoffrey O. Asiegbu
    • 1
  • Ahmed M. A. Haidar
    • 1
  • Kamarul Hawari
    • 1
  1. 1.Faculty of Electrical and Electronics EngineeringUniversity MalaysiaPahangMalaysia

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