Title :
Discussion and Prediction of Mechanical Properties for Single Layer ACSR
Author :
Liu, Fang ; Findlay, Raymond D. ; Song, Qiang
Author_Institution :
McMaster Univ., Hamilton, Ont.
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
For the purpose of power system safety and reliability, conductor maintenance and design, mechanical properties of ACSR have been intensively discussed and studied through a sample conductor. The variations of strain and sag with current, service of time, and actual daily load demands are computed using a novel iterative procedure implemented in a Visual C++ software package, and predicted with an effective artificial neural network model validated by both visual comparison and statistical analysis
Keywords :
C++ language; mechanical properties; neural nets; power engineering computing; power system reliability; software packages; visual programming; Visual C++ software package; aluminum conductor steel reinforced; artificial neural network model; conductor maintenance; iterative procedure; mechanical property prediction; power system reliability; power system safety; single layer ACSR; statistical analysis; Artificial neural networks; Capacitive sensors; Computer networks; Conductors; Maintenance; Mechanical factors; Power system analysis computing; Power system reliability; Safety; Software packages;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.72
