Joint Visualization Diagnosis of Outdoor Insulation Status With Optical and Acoustical Detections

Abstract

This paper proposes a joint visualization detection method to diagnose outdoor insulation status of high-voltage (HV) equipment in substations, which applies image matching and fusion techniques to accurately combine the results of ultrasonic, ultraviolet, and infrared detection in an image. This image can then be used to quickly and clearly locate the region of corona discharge and overheating of outdoor substation HV equipment. First, ultrasonic localization visualization of corona discharge is proposed, which is based on the designed double-helix array and multisignal classification algorithm. This method provides a more intuitive way for the diagnosis of outdoor insulation status. Then, ultraviolet localization visualization method is detailed, and an adaptive affine matrix is designed for the accurate location of corona discharge. Following this, infrared-visible detection of overheating failure is introduced, and the speeded-up robust features algorithm and random sample consensus algorithm are used to implement image fusion process. Finally, the results of image fusion are provided, and location error evaluations are conducted for each module. With acceptable cost and advantages of three detection method, the proposed visualization method is used for evaluating the insulation status of substation equipment more intuitively and conveniently, and thus, has an extensive application prospect.