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Overheating and radiation from power equipment is a crucial factor for a variety of failures and anomalies. This paper presents a substation inspection system based on computer and embedded system for temperature measurement and smart fault location for power equipment, to improve the reliability and security of smart grid by effectively combining video surveillance, infrared temperature measurement, and image processing techniques. The accuracy for the temperature measurement was within one degree. With the registration of infrared image and visible image, the fault location can be located automatically. The RMES error for registration between visible image and infrared image was less than one pixel. The time cost is much lesser compared with other image registration methods. Thus, a comprehensive realtime on-line monitoring and smart fault location is achieved. With the accuracy, validity, and efficiency improved, grid maintenance and management is simpler and more economical. Keywords-condition monitoring; data integration; fault location; image fusion; inspection; smart grids.

Substation Inspection System for Temperature Measurement and Automatic Fault Location Based on Dual-channel Images