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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2013-01-01
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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1155/2013/765374 |
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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 |
work_keys_str_mv |
AT ruihuali conditionevaluationoflargegeneratorstatorinsulationbasedonpartialdischargemeasurement AT lingpan conditionevaluationoflargegeneratorstatorinsulationbasedonpartialdischargemeasurement AT chenyan conditionevaluationoflargegeneratorstatorinsulationbasedonpartialdischargemeasurement AT haoli conditionevaluationoflargegeneratorstatorinsulationbasedonpartialdischargemeasurement AT bohu conditionevaluationoflargegeneratorstatorinsulationbasedonpartialdischargemeasurement |
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1725131971691020288 |