Title :
Application of independent component analysis on state inspection for transmission lines
Author :
Ren, Lijia ; Jiang, Xiuchen ; Sheng, Gehao
Author_Institution :
Dept. of Electr. Eng., Shanghai Jiaotong Univ., Shanghai
Abstract :
According to the serious theft of transmission tower materials, a new function in the state maintenance for transmission lines is presented to monitor towers and examine the vibration signal produced from the action of stealing the tower materials, in order to ensure the reliability and safety of the power grid operation. This paper presents the FastICA using negentropy to effectively extract and separate the vibration signals caused by human activity. A new method combined empirical mode decomposition (EMD) method with adaptive threshold pulse distraction method is used to extract the integrity vibration pulses, and suppress interference signals. The practical tests demonstrate the method proposed in the paper is effective in separating and extract the vibration signals successfully.
Keywords :
independent component analysis; inspection; maintenance engineering; poles and towers; power transmission lines; FastICA; adaptive threshold pulse distraction method; empirical mode decomposition method; grid safety; human activity; independent component analysis; integrity vibration pulses; interference signal suppression; power grid operation; state inspection; transmission lines; transmission tower materials; vibration signal extraction; vibration signals; Independent component analysis; Inspection; Maintenance; Materials reliability; Monitoring; Poles and towers; Power grids; Power transmission lines; Safety; Transmission lines; Adaptive threshold; Decomposition; Empirical Mode; ICA; Negentropy; state inspection; transmission lines; vibration signal;
Conference_Titel :
Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1621-9
Electronic_ISBN :
978-1-4244-1622-6
DOI :
10.1109/CMD.2008.4580405