On-Line Detection of the Coal Mine Power Cable Parameters Based on the Method of Low Frequency Signal

Fu Zhong Wang; Peng Fei Dong; Shu Min Shao

doi:10.4028/www.scientific.net/AMM.574.474

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 574On-Line Detection of the Coal Mine Power Cable...

On-Line Detection of the Coal Mine Power Cable Parameters Based on the Method of Low Frequency Signal

Abstract:

The coal mine power supply mainly rely on cable, its insulation level directly affects the coal mine safety production. Has long been lack of perfect insulation parameters online detesting equipment, the traditional detection methods need to stop the normal grid power supply, affect the normal production of coal mine, it is great significance that research a kind of on-line insulation parameters detection equipment. Using three-phase reactor in the neutral point insulation system to make artificial neutral point, from this point inject low-frequency voltage signal, the signal through the cable ontology, cable to ground insulation resistance and capacitance, and to a loop resistor. Measure the voltage and current signals and modulus conversion, using DSP to realize rapid changes of Fourier algorithm, can quickly and accurately calculate the cable to ground insulation parameters. The algorithm is effective to solve the traditional measuring circuit transformer reactance and unbalance current's influence to the accuracy of measurement, measurement process will not affect the normal operation of the electric power system, the insulation parameters can be accurately measure online.

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Periodical:

Applied Mechanics and Materials (Volume 574)

Pages:

474-479

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.574.474

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Online since:

July 2014

Authors:

Fu Zhong Wang*, Peng Fei Dong, Shu Min Shao

Keywords:

Insulation, Low Frequency Signals, On-Line Detection, Power Cable

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* - Corresponding Author

References

[1] Youming Zou, Shidong Liu, Zheng Maolin. Industrial and mining enterprises leakage protection technology [M]. Beijing: Coal industry publishing house, (2004).

Google Scholar

[2] Fuzhong Wang. Mine low voltage cable insulation parameters on-line detector research. Journal of electric power system and its automation, August (2000).

Google Scholar

[3] Liming Wang, Jingzhou Hou, CHanglong Chen. Using electromagnetic wave speed diagnosis XLPE cable insulation, high voltage technology, November (2011).

Google Scholar

[4] Jianwen Zhao, ZHouxing Fu. The design of the 10 kV system capacitive current tester. Relay, November (2001).

Google Scholar

[5] Dian Lu, ZHouxing Fu. Mine low voltage cable insulation online monitoring. The measurement and control technology, September (2009).

Google Scholar