Condition Evaluation of Large Generator Stator Insulation Based on Partial Discharge Measurement

The large generator faults are mostly from the stator insulation, which is aged by exposure to a combination of thermal, electrical, mechanical, and harsh environment stresses. Condition evaluation of stator insulation is an important measure of ensuring the safe operation and extending the remainin...

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Main Authors: Ruihua Li, Ling Pan, Chen Yan, Hao Li, Bo Hu
Format: Article
Language:English
Published: SAGE Publishing 2013-01-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1155/2013/765374
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spelling doaj-3e37e26f99a94dadb6dfd7484df164192020-11-25T01:20:48ZengSAGE PublishingAdvances in Mechanical Engineering1687-81322013-01-01510.1155/2013/76537410.1155_2013/765374Condition Evaluation of Large Generator Stator Insulation Based on Partial Discharge MeasurementRuihua LiLing PanChen YanHao LiBo HuThe large generator faults are mostly from the stator insulation, which is aged by exposure to a combination of thermal, electrical, mechanical, and harsh environment stresses. Condition evaluation of stator insulation is an important measure of ensuring the safe operation and extending the remaining life of large generator. In this paper, a diagnosis method based on the partial discharge (PD) measurement was used for the condition evaluation of the stator insulation. The statistical parameters of partial discharge phase resolved distribution were proposed to assess the aging condition of stator insulation. A partial least square (PLS) approach was used to explore and extract relationships between the statistical parameters of partial discharge distribution with physical properties and performance such as electrical breakdown strength. Results of the PD testing and statistical analysis show that the statistical parameter Sk extent of partial discharge distribution changes much more remarkably with the aging time than do the other parameters. The statistical parameter Sk can be considered as a potential indicator of stator insulation aging. The PLS approach can effectively assess the stator insulation aging condition and can provide a predictive capability for the stator insulation diagnosis.https://doi.org/10.1155/2013/765374
collection DOAJ
language English
format Article
sources DOAJ
author Ruihua Li
Ling Pan
Chen Yan
Hao Li
Bo Hu
spellingShingle Ruihua Li
Ling Pan
Chen Yan
Hao Li
Bo Hu
Condition Evaluation of Large Generator Stator Insulation Based on Partial Discharge Measurement
Advances in Mechanical Engineering
author_facet Ruihua Li
Ling Pan
Chen Yan
Hao Li
Bo Hu
author_sort Ruihua Li
title Condition Evaluation of Large Generator Stator Insulation Based on Partial Discharge Measurement
title_short Condition Evaluation of Large Generator Stator Insulation Based on Partial Discharge Measurement
title_full Condition Evaluation of Large Generator Stator Insulation Based on Partial Discharge Measurement
title_fullStr Condition Evaluation of Large Generator Stator Insulation Based on Partial Discharge Measurement
title_full_unstemmed Condition Evaluation of Large Generator Stator Insulation Based on Partial Discharge Measurement
title_sort condition evaluation of large generator stator insulation based on partial discharge measurement
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8132
publishDate 2013-01-01
description The large generator faults are mostly from the stator insulation, which is aged by exposure to a combination of thermal, electrical, mechanical, and harsh environment stresses. Condition evaluation of stator insulation is an important measure of ensuring the safe operation and extending the remaining life of large generator. In this paper, a diagnosis method based on the partial discharge (PD) measurement was used for the condition evaluation of the stator insulation. The statistical parameters of partial discharge phase resolved distribution were proposed to assess the aging condition of stator insulation. A partial least square (PLS) approach was used to explore and extract relationships between the statistical parameters of partial discharge distribution with physical properties and performance such as electrical breakdown strength. Results of the PD testing and statistical analysis show that the statistical parameter Sk extent of partial discharge distribution changes much more remarkably with the aging time than do the other parameters. The statistical parameter Sk can be considered as a potential indicator of stator insulation aging. The PLS approach can effectively assess the stator insulation aging condition and can provide a predictive capability for the stator insulation diagnosis.
url https://doi.org/10.1155/2013/765374
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AT lingpan conditionevaluationoflargegeneratorstatorinsulationbasedonpartialdischargemeasurement
AT chenyan conditionevaluationoflargegeneratorstatorinsulationbasedonpartialdischargemeasurement
AT haoli conditionevaluationoflargegeneratorstatorinsulationbasedonpartialdischargemeasurement
AT bohu conditionevaluationoflargegeneratorstatorinsulationbasedonpartialdischargemeasurement
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