DocumentCode :
1753780
Title :
Vibration Damper Recognition of Transmission System Based on Unmanned Aerial Vehicles
Author :
Liu, Yuan ; Jin, Lijun
Author_Institution :
Coll. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
fYear :
2011
fDate :
25-28 March 2011
Firstpage :
1
Lastpage :
3
Abstract :
Helicopter can be used to detect and identify a variety of power equipments along the transmission lines, and diagnose the fault types of equipments. This paper presents a method based on Adaboost for vibration damper recognition of transmission system. Adaboost classifier is an accurate learner. Strong classifiers, which are composed of a group of weak classifiers by certain rules, can build up a fast and accurate classifier by cascade. Experiment results show the feasibility of the method.
Keywords :
fault diagnosis; power overhead lines; remotely operated vehicles; vibrations; Adaboost algorithm; fault diagnosis; helicopter; overhead transmission line; power equipments; transmission system; unmanned aerial vehicles; vibration damper recognition; Algorithm design and analysis; Classification algorithms; Inspection; Power transmission lines; Shock absorbers; Training; Vibrations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
ISSN :
2157-4839
Print_ISBN :
978-1-4244-6253-7
Type :
conf
DOI :
10.1109/APPEEC.2011.5748636
Filename :
5748636
Link To Document :
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