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On the Applicability of Nonlinear Time series Methods for Partial Discharge Analysis

On the Applicability of Nonlinear Time series Methods for Partial Discharge Analysis
On the Applicability of Nonlinear Time series Methods for Partial Discharge Analysis
In this work, the application of nonlinear invariants and phase space methods for Partial Discharge (PD) analysis are discussed and potential pitfalls are identified. Unsupervised statistical inference techniques based on the use of surrogate data sets are proposed and employed for the purpose of testing the applicability of nonlinear algorithms and methods. The Generalized Hurst Exponent and Lempel-Ziv Complexity are used for finding the location of the system under test on the spectrum between determinism and stochasticity. The surrogate generation method is shown to produce phase-resolved relations with high correspondence with the original sets and the nonlinear invariants employed are found to have strong classification abilities at discerning between surrogates and original point series.
Partial discharge, time series analysis, chaos.
284-293
Petrov, L A
ebab8622-3e0f-4c93-9104-104207258fb6
Lewin, P L
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Czaszejko, T
556f0e55-3b44-4004-80a9-0dc2cf212312
Petrov, L A
ebab8622-3e0f-4c93-9104-104207258fb6
Lewin, P L
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Czaszejko, T
556f0e55-3b44-4004-80a9-0dc2cf212312

Petrov, L A, Lewin, P L and Czaszejko, T (2014) On the Applicability of Nonlinear Time series Methods for Partial Discharge Analysis. IEEE Transactions on Dielectrics and Electrical Insulation, 21 (1), 284-293. (doi:10.1109/TDEI.2013.003983).

Record type: Article

Abstract

In this work, the application of nonlinear invariants and phase space methods for Partial Discharge (PD) analysis are discussed and potential pitfalls are identified. Unsupervised statistical inference techniques based on the use of surrogate data sets are proposed and employed for the purpose of testing the applicability of nonlinear algorithms and methods. The Generalized Hurst Exponent and Lempel-Ziv Complexity are used for finding the location of the system under test on the spectrum between determinism and stochasticity. The surrogate generation method is shown to produce phase-resolved relations with high correspondence with the original sets and the nonlinear invariants employed are found to have strong classification abilities at discerning between surrogates and original point series.

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Accepted/In Press date: 7 October 2013
e-pub ahead of print date: 20 February 2014
Published date: 20 February 2014
Keywords: Partial discharge, time series analysis, chaos.
Organisations: EEE

Identifiers

Local EPrints ID: 366602
URI: http://eprints.soton.ac.uk/id/eprint/366602
PURE UUID: 6f211669-cd47-4ed2-ab00-eae37117c6a6

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Date deposited: 03 Jul 2014 11:17
Last modified: 30 Jun 2020 16:32

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Contributors

Author: L A Petrov
Author: P L Lewin
Author: T Czaszejko

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