Study on the Online Detecting Technology for Partial Discharge of Power Equipment with Mechanical Properties

Abstract:

From the physical characteristics of the partial discharge, this paper analyzed the UHF signal’s characteristic parameters for the partial discharge of the power transmission equipment, used synthetically the detecting technology which combines the ultra high frequency (UHF) and the acoustic emission (AE), and established the online monitoring system for the partial discharge of the power equipment. On the premise ensuring the integrity of the partial discharge signal, the acquisition, amplification, analysis and storage of the partial discharge signal are implemented. The case-based reasoning technology determines the fault type and fault degree of the partial discharge to make the accurate judgment for the operational state of the equipment and improve the intelligence level and the operational reliability for the state diagnosis of the power equipment. The structural optimization design of the power transformer makes the no-load loss down by 50%, and the load loss down by 15%. That improves greatly the mechanical and electrical properties of the transformer.

• Periodical: Advanced Materials Research (Volume 644)
• Pages: 51-55
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.644.51
• Online since: January 2013
• Authors: Guo Jin Chen, Ming Xu, Tin Tin Liu, Jing Ni, Dong Xie, Yan Ping Zhang
• Keywords: Acoustic Emission (AE), Electrical Power Equipment, Mechanical Property, Online Detecting Technology, Partial Discharge (PD), Ultra-High Frequency (UHF)

References

[1] ZHU Jie, CHEN Guo-jin, WANG Wan-qiang, Applying FPGA on Frequency Convert System of SVPWM, Mechanical & Electrical Engineering Magazine, Vol. 22, No. 4, p.22–25, (2005).

[2] CHEN Guo-jin, YAO Zhai-rong, SUN Hong, Realization of AC Motor Vector Control Based on DSP, Mechanical & Electrical Engineering Magazine, Vol. 21, No. 6, p.27–30, (2004).

[3] WANG Tao, CHEN Guo-jin, NI Jing, Design and application of electric control system on pattern drawing machine, Journal of Mechanical & Electrical Engineering, Vol. 29, No. 4, p.413–416, (2012).

[4] LI Yong-ning, YANG Hua, CHEN Guo-jin, Application of μC/OS-Ⅱ in digital welder control system, Journal of Mechanical & Electrical Engineering, Vol. 28, No. 7, p.827–830, (2011).

[5] CHEN Guo-jin, CHEN Hui-peng, CHEN Li-ping, Research on multidisciplinary modeling and robust control for electric power steering system, Advanced Materials Research, Vol. 179-180, pp.179-185, (2011).

DOI: 10.4028/www.scientific.net/amr.179-180.179