Intelligent Image Recognition Research on Status of Power Transmission Lines

• Main Author: Lifeng Pan
• Format: Article
• Language: English
• Published: IFSA Publishing, S.L. 2014-09-01
• Series: Sensors & Transducers
• Subjects: Power transmission line; Status recognition; Digital image processing; Compressed sensing; Artificial neural networks.
• Online Access: http://www.sensorsportal.com/HTML/DIGEST/september_2014/Vol_179/P_2418.pdf

For the requirements of smart grid construction to remote monitoring on transmission lines status, find an intelligent identification method based on digital image processing and artificial neural networks identification: using gray scale transformation, histogram modification, compressed sensing de-noising, edge detection algorithm and other methods all together to deal with remote images of transmission lines, and make the characteristics more outstanding. Breaking up the images into some regions, and extracting the distribution of edge features of transmission line components as characteristic values, can extract characteristics, and this method have good adaptability. At last, construct a three-layer BP artificial neural network to training and recognizing on typical transmission line status. The results of status recognition aiming at insulator strings and transmission lines show that, this method has good recognition effect and important promotional value.