An ANN-impedance-based fault detection technique in T-Connection transmission overhead lines

2012 ◽  
Author(s):  
Hassan Abniki ◽  
Saeed Nateghi ◽  
Mohammad Nabavi Razavi
Keyword(s):  
Fault Detection ◽  
Detection Technique ◽  
Overhead Lines ◽  
Transmission Overhead

An online winding fault detection technique for fault-tolerant PM machines

2009 ◽  
Vol 40 (3) ◽  
pp. 289-296 ◽  
Author(s):  
Z. Sun ◽  
J. Wang ◽  
D. Howe ◽  
G.W. Jewell
Keyword(s):  
Fault Detection ◽  
Fault Tolerant ◽  
Detection Technique

Simulation Study on Amplitude of the Overhead Line Based on Simulink

2013 ◽  
Vol 316-317 ◽  
pp. 161-166
Author(s):  
Mei Yun Zhao ◽  
Zheng Lin Liu ◽  
Xin Ze Zhao ◽  
Rui Feng Wang
Keyword(s):  
Fretting Wear ◽  
Overhead Line ◽  
Test Bed ◽  
Overhead Lines ◽  
Aeolian Vibration ◽  
Close Relationship ◽  
Actual Amplitude ◽  
Transmission Overhead ◽  
Relationship Of ◽  
The Relationship

Aeolian vibration often occurs in the high-voltage transmission overhead lines, and the amplitude of conductors has close relationship with conductors fretting wear. It is very difficult to measure actual amplitude of working conductor, so obtaining the amplitude of the conductor by the means of simulation is of practical significant to research quantitatively the relationship of the amplitude and the fretting wear. In this paper an imitation test-bed was built. The maximum amplitudes in the different location of a conductor in a test condition were obtained by Simulink software simulating, and the results were compared with the maximum amplitudes obtained by experimental test. The result of this comparison showed that between of them were of good similarity, and the locations of vibration nodes and maximum amplitudes were basically same. It was proved to be feasible that the aeolian vibration amplitude of the overhead conductor in kinds of conditions could be obtained by Simulink software simulating.

scholarly journals An Intelligent Automatic Fault Detection Technique Incorporating Image Processing and Fuzzy Logic

2019 ◽  
Vol 1244 ◽  
pp. 012035
Author(s):  
Kulsoom Iftikhar ◽  
Shahzad Anwar ◽  
Muhammad Tahir Khan ◽  
Yasser Abd. Djawad
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Fault Detection ◽  
Detection Technique
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