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Trans Tech Publications, Advanced Materials Research, (644), p. 51-55, 2013

DOI: 10.4028/www.scientific.net/amr.644.51

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

Journal article published in 2013 by Guo Jin Chen, Ming Xu, Ting Ting Liu, Jing Ni, Dong Xie, Yan Ping Zhang
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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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.