DocumentCode :
2846281
Title :
Safety Prediction of Coalface Stray Current Based on BP ANN
Author :
Ma-Caoyuan ; Li-Guoxin ; Liang-rui ; Zhang-dongliang ; Dong-xinwei ; Tang-Jiejie
Author_Institution :
Sch. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
In order to realize safety prediction of workface stray current, it´s important to confirm the characteristic indexes of workface stray current so as to insure the time margin and reliability of prediction. By analyzing the resistance distribution network of the system, the paper confirms the four parameters as follows to be the characteristic indexes of coalface stray current safety prediction: the leakage current of contacting line, resistance of insulating splint, the distance between workface and subtraction substation and the stray voltage of contacting line. After that, the thesis built safety prediction model of coalface stray current danger grade with ANN as its core, chose the field measured data to do the training and prediction of safety prediction model and complete the designing and development of monitoring and predicting system of stray current. The results indicate that the proposed safety prediction model and the prediction system has strong applicability, it shows good effect.
Keywords :
backpropagation; coal; mining industry; neural nets; reliability theory; safety systems; artificial neural network; characteristic index; coalface stray current; contacting line leakage current; insulating splint resistance; prediction reliability; resistance distribution network; workface stray current safety prediction; workface-substation distance; Contact resistance; Current measurement; Electrical resistance measurement; Insulation; Leakage current; Monitoring; Predictive models; Railway safety; Substations; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5365093
Filename :
5365093
Link To Document :
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