Design of early fault detection technique for electrical assets using infrared thermograms

• Published in: International journal of electrical power & energy systems Vol. 63; pp. 753 - 759
• Main Authors: Jaffery, Zainul Abdin, Dubey, Ashwani Kumar
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.12.2014; Elsevier
• Subjects: Applied sciences; Electrical engineering. Electrical power engineering; Exact sciences and technology; NIOLVIS; NIRTVMS; Power electronics, power supplies; Power transformer; Segmentation; SOI; Testing. Reliability. Quality control; Thermogram; Transformers and inductors; Thermogram; Segmentation; NIOLVIS; Power transformer; SOI; NIRTVMS; Infrared thermography; Power electronics; Algorithm; Temperature measurement; Silicon on insulator technology; Image segmentation; Destructive test; Non destructive test; Temperature fluctuation; Defect detection
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2014.06.049

•Non Invasive Off Line Visual Inspection System (NIOLVIS) is developed.•Non Invasive Real Time Visual Monitoring System (NIRTVMS) developed.•Threshold based color segmentation technique is applied to detect hot regions.•An area based hotness detection algorithm is developed.•The systems (NIOLVIS) and (NIRTVMS) enhances the reliability of electrical assets. Infrared thermography is a non destructive temperature measuring technique, widely used in agriculture, process industries, manufacturing, pharmaceutical industries, and construction industries to detect anomalies, to predict possible faults, or to check the quality of the object. In this paper, two systems, real time and off line, are proposed to monitor the temperature variations and analyze hot regions in the electrical assets using infrared thermograms. This novel technique helps to prevent the electrical assets before any catastrophe would happen in the future. The color based segmentation technique is used to blotch hot regions in the thermograms of electrical systems. A redness area based algorithm is also proposed to analyze the hot regions and also to estimate rate of change of hotness in electrical assets for early detection and prediction of faults.