On-line broken strand detection and diagnosis system for high-voltage transmission line inspection robots

Dianli Xitong Zidonghua/Automation of Electric Power Systems

Volumn 32, Issue 14, 2008, Pages

  Zhou, Fengyu ^a   Li, Yibin ^a   Li, Feng ^a   Wang, Changshun ^a  

^a SHANDONG UNIVERSITY   (China)

Author keywords

High voltage power transmission line; On line detection of broken strand; Wavelet energy entropy

Indexed keywords

BACKPROPAGATION; COMPUTER NETWORKS; ELECTRIC LINES; INSPECTION; POWER TRANSMISSION; ROBOTS; SENSORS; SIGNAL ANALYSIS; TRANSMISSION LINE THEORY; WAVELET TRANSFORMS;

HIGH VOLTAGE POWER TRANSMISSION LINE; HIGH-VOLTAGE TRANSMISSION LINES; ON-LINE DETECTION OF BROKEN STRAND; WAVELET BASE; WAVELET ENERGY ENTROPY;

SIGNAL PROCESSING;

EID: 51149083279     PISSN: 10001026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. ZHOU Fengyu, WU Aiguo, LI Yibin, et al. Development of a mobile robot for inspection of high voltage overhead power transmission lines. Automation of Electric Power Systems, 2004, 28(23): 89-91.
2. WU Gongping, XIAO Xiaohui, XIAO Hua, et al. Development of a mobile inspection robot for high voltage power transmission line. Automation of Electric Power Systems, 2006, 30(13): 90-93, 107.
3. ZHANG Yunchu, LIANG Zize, TAN Min. Mobile robot for overhead power line inspection: review. Robotics, 2004, 26(5): 467-473.
4. WU Gongping, XIAO Xiaohui, SHEN Ruigang. Damaged detection and fault diagnosis for high-voltage transmission line. Chinese Journal of Scientific Instrument, 2006, 27(10): 1204-1208.
5. TAN Shanwen, QIN Shuren, TANG Baoping. Time-frequency characteristic of wavelet base and its application transient signal detection. Journal of Chongqing University: Natural Science Edition, 2001, 24(2): 12-17.
6. REZEK I A, ROBERTS S J. Stochastic complexity measures for physiological signal analysis. IEEE Trans on Biomedical Engineering, 1998, 45(9): 1186-1191.
7. HE Zhengyou, CAI Yumei, QIAN Qingquan. A study of wavelet entropy theory and its application in electric power system fault detection. Proceedings of the CSEE, 2005, 25(5): 23-43.