NDLI: PD pattern recognition in oil-paper insulation based on discharge time interval

Content Provider	IEEE Xplore Digital Library
Author	Zhou Quan Zhang Yun An Wen-dou Liu Fan Liao Rui-jin Zhang Xin
Copyright Year	2010
Description	Author affiliation: Sichuan Electric Power Test & Research Institute, Chengdu 610072, China (Zhang Yun; Liu Fan) \|\| Chongqing Branch of China Coal Research Institute, 400037, China (An Wen-dou) \|\| State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University, 400044, China (Zhou Quan; Liao Rui-jin; Zhang Xin)
Abstract	Partial discharge (PD) inside insulation is considered as one major cause of insulation degradation in electrical equipment and attached importance to the safety and reliability of running electrical equipment. Time intervals between consecutive discharges ( Δt ) may even be more efficient to characterize a defect or to differentiate between different defects. Oil-paper insulation is the most important part in transformer. In this paper, five kinds of typical artificial defect models of oil-paper insulation were designed. The time interval distributions of PD pulse were introduced in PD pattern recognition, the 3-D pattern Hn (Δt, ϕ) of discharge phase, time interval and discharge number ϕ-Δt-n distribution was constructed, and the box dimension and information dimension of gray intensity images which are transferred by 3-D pattern were analyzed and extracted. In this scheme, PD fractal dimensions were used as inputs, radial basis function neural network (RBFNN) was used as classifier, five kinds of artificial oil-paper insulation defects were distinguished, recognition rates are all over 90%, and it shows well in noise interference suppression.
Starting Page	313
Ending Page	316
File Size	510590
Page Count	4
File Format	PDF
ISBN	9781424482832
e-ISBN	9781424482863
DOI	10.1109/ICHVE.2010.5640802
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Partial discharges Insulation Fault location pattern recognition fractal dimension Fractals oil-paper insulation Pattern recognition discharge phase RBFNN Discharges time interval partial discharge
Content Type	Text
Resource Type	Article

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