Time synchronised distributed acoustic sensing of partial discharge at the oil-pressboard interface
Time synchronised distributed acoustic sensing of partial discharge at the oil-pressboard interface
Distributed Acoustic Sensing (DAS) is a well-established technology used across a variety of industries. Due to its inherently low sample rates at detection ranges of a couple hundred metres or more, at face value, it appears ineffective for Partial Discharge (PD) detection and therefore has not been previously used. However, in this publication, we show that aliasing effects due to the DAS sampling methods successfully down-sample the higher frequency acoustic emissions and can provide detection of PD above 120 pC under treeing discharge across an oil-pressboard interface. This is supported with comparisons between DAS, high-sample rate acoustic sensors, as well as industry standard electrical measurements. Synchronization between the different measurement systems is achieved allowing for sample-to-sample comparison as well as a more statistical approach. We additionally show Phase Resolved Partial Discharge (PRPD) analysis can be applied to the DAS results with an additional voltage zero-crossing synchronisation signal, with a clear resemblance to electrical methods.
Acoustic measurements, Acoustics, Discharges (electric), Optical fibers, Optical interferometry, Partial discharge (PD), Sensors, Voltage measurement, acoustic emission, acoustics, distributed acoustic sensing (DAS), high voltage, treeing, void discharge
Kirkcaldy, Laurie
9e7c038d-8ba6-4799-a579-ff6a79318517
Lees, Gareth
13384bff-3a8a-4525-b213-77eb17cb1c79
Rogers, Rosalie
352df810-5a1e-4e4c-99ed-94aa754769f0
Lewin, Paul
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
December 2022
Kirkcaldy, Laurie
9e7c038d-8ba6-4799-a579-ff6a79318517
Lees, Gareth
13384bff-3a8a-4525-b213-77eb17cb1c79
Rogers, Rosalie
352df810-5a1e-4e4c-99ed-94aa754769f0
Lewin, Paul
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Kirkcaldy, Laurie, Lees, Gareth, Rogers, Rosalie and Lewin, Paul
(2022)
Time synchronised distributed acoustic sensing of partial discharge at the oil-pressboard interface.
IEEE Transactions on Dielectrics and Electrical Insulation.
(doi:10.1109/TDEI.2022.3203913).
Abstract
Distributed Acoustic Sensing (DAS) is a well-established technology used across a variety of industries. Due to its inherently low sample rates at detection ranges of a couple hundred metres or more, at face value, it appears ineffective for Partial Discharge (PD) detection and therefore has not been previously used. However, in this publication, we show that aliasing effects due to the DAS sampling methods successfully down-sample the higher frequency acoustic emissions and can provide detection of PD above 120 pC under treeing discharge across an oil-pressboard interface. This is supported with comparisons between DAS, high-sample rate acoustic sensors, as well as industry standard electrical measurements. Synchronization between the different measurement systems is achieved allowing for sample-to-sample comparison as well as a more statistical approach. We additionally show Phase Resolved Partial Discharge (PRPD) analysis can be applied to the DAS results with an additional voltage zero-crossing synchronisation signal, with a clear resemblance to electrical methods.
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More information
e-pub ahead of print date: 5 September 2022
Published date: December 2022
Additional Information:
Publisher Copyright:
IEEE
Keywords:
Acoustic measurements, Acoustics, Discharges (electric), Optical fibers, Optical interferometry, Partial discharge (PD), Sensors, Voltage measurement, acoustic emission, acoustics, distributed acoustic sensing (DAS), high voltage, treeing, void discharge
Identifiers
Local EPrints ID: 470387
URI: http://eprints.soton.ac.uk/id/eprint/470387
ISSN: 1070-9878
PURE UUID: a5a24ea9-4406-4e77-8a7e-071a23848f01
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Date deposited: 07 Oct 2022 16:43
Last modified: 17 Mar 2024 02:37
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Contributors
Author:
Laurie Kirkcaldy
Author:
Gareth Lees
Author:
Rosalie Rogers
Author:
Paul Lewin
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