A combined fBm and PPCA based signal model for on-line recognition of PD signal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The problem of on-line recognition and retrieval of relatively weak industrial signal such as Partial Discharges (PD), buried in excessive noise has been addressed in this paper. The major bottleneck being the recognition and suppression of stochastic pulsive interference (PI), due to, overlapping broad band frequency spectrum of PI and PD pulses. Therefore, on-line, on-site, PD measurement is hardly possible in conventional frequency based DSP techniques. We provide new methods to model and recognize the PD signal, on-line. The observed noisy PD signal is modeled as linear combination of systematic and random components employing probabilistic principal component analysis (PPCA). Being a natural signal, PD exhibits long-range dependencies. Therefore, we model the random part of the signal with fractional Brownian motion (fBm) process and pdf of the underlying stochastic process is obtained. The PD/PI pulses are assumed as the mean of the process and non-parametric analysis based on smooth FIR filter is undertaken. The method proposed by the Author found to be effective in recognizing and retrieving the PD pulses, automatically, without any user interference.

Original languageEnglish
Title of host publicationPattern Recognition and Machine Intelligence - First International Conference, PReMI 2005, Proceedings
Pages229-235
Number of pages7
DOIs
Publication statusPublished - 2005
Event1st International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005 - Kolkata, India
Duration: 20-12-200522-12-2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3776 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005
Country/TerritoryIndia
CityKolkata
Period20-12-0522-12-05

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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