PD source diagnosis and localization in industrial high-voltage insulation system via multimodal joint sparse representation

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

32 Scopus Citations
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Author(s)

  • Liangtian Wan
  • Guangjie Han
  • Lei Shu
  • Sammy Chan
  • Naixing Feng

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number7390060
Pages (from-to)2506-2516
Journal / PublicationIEEE Transactions on Industrial Electronics
Volume63
Issue number4
Online published22 Jan 2016
Publication statusPublished - Apr 2016

Abstract

Partial discharge (PD) is the manifestation of insulation degradation, and it is regarded as a great risk in the field of industrial high-voltage insulation system. In this paper, the direction-of-arrival (DOA) estimation algorithm is used for the localization of partial-discharge source. The intersecting point of two rays, which come from two different directions measured by two uniform linear arrays (ULAs), can be regarded as the plane location of partial-discharge source. Fast rise times of partial-discharge pulses result in a wide electromagnetic spectrum, thus this paper focuses on the DOA estimation of wideband signals. The technique of multimodal joint sparse representation (MJSR) has been used to improve the performance of biometrics recognition. Here, we extend it to DOA estimation. The received data are represented by a sparse linear combination of potential steering vectors, while constraining the observations from different frequencies subject to sharing the same sparsity pattern. Based on the simultaneous orthogonal matching pursuit (SOMP) and alternating direction method of multipliers (ADMM), a hard threshold algorithm is proposed for DOA estimation. In order to reduce the computational complexity of hard threshold algorithm, an improved soft threshold DOA estimation algorithm based on the ADMM is proposed as well. The effectiveness of the proposed algorithms is validated by simulations and real tests.

Research Area(s)

  • direction-of-arrival estimation, Localization algorithm, multimodal joint sparse representation, wideband signal

Citation Format(s)

PD source diagnosis and localization in industrial high-voltage insulation system via multimodal joint sparse representation. / Wan, Liangtian; Han, Guangjie; Shu, Lei; Chan, Sammy; Feng, Naixing.

In: IEEE Transactions on Industrial Electronics, Vol. 63, No. 4, 7390060, 04.2016, p. 2506-2516.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal