Risk assessment of low voltage motors based on PD measurements and insulation diagnostics

Partial discharge (PD) diagnostics is a reliable technique for the health assessment of electrical motors. This paper presents a unique methodology for the failure risk assessment of the low voltage motors containing various insulation defects based on PD measurements. The severity of PD in the moto...

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Main Author: Hussain, Ghulam (author)
Other Authors: Hassan, Waqar (author), Mahmood, Farhan (author), Amin, Salman (author)
Published: 2021
Online Access:https://dspace.auk.edu.kw/handle/11675/8225
https://www.sciencedirect.com/science/article/abs/pii/S0263224121001755
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author Hussain, Ghulam
author2 Hassan, Waqar
Mahmood, Farhan
Amin, Salman
author2_role author
author
author
author_facet Hussain, Ghulam
Hassan, Waqar
Mahmood, Farhan
Amin, Salman
author_role author
dc.creator.none.fl_str_mv Hussain, Ghulam
Hassan, Waqar
Mahmood, Farhan
Amin, Salman
dc.date.none.fl_str_mv 2021-12-22T08:28:05Z
2021-12-22T08:28:05Z
2021-02-11
dc.identifier.none.fl_str_mv Hassan, W., Mahmood, F., Hussain, G. A., & Amin, S. (2021). Risk assessment of low voltage motors based on PD measurements and insulation diagnostics. Measurement, 176. https://doi.org/10.1016/j.measurement.2021.109151
https://dspace.auk.edu.kw/handle/11675/8225
https://www.sciencedirect.com/science/article/abs/pii/S0263224121001755
dc.publisher.none.fl_str_mv Elsevier- Measurement Journal
dc.relation.none.fl_str_mv College of Engineering and Applied Sciences
dc.title.none.fl_str_mv Risk assessment of low voltage motors based on PD measurements and insulation diagnostics
dc.type.none.fl_str_mv Journal Article
Peer-Reviewed
info:eu-repo/semantics/publishedVersion
description Partial discharge (PD) diagnostics is a reliable technique for the health assessment of electrical motors. This paper presents a unique methodology for the failure risk assessment of the low voltage motors containing various insulation defects based on PD measurements. The severity of PD in the motors increases with the time during their operation due to electrical and environmental stresses. In this work, several artificial PD defects have been created in low voltage induction motors under laboratory conditions. Accordingly, the characteristic parameters of PD measured in the laboratory for the artificial defects are evaluated to identify their impact on the resulting degradation of the insulation. Furthermore, the classification of these defects has been carried out based on cumulative energy function using K-mean clustering algorithm followed by the estimation of insulation lifetime. In this regard, Weibull distribution has been employed to quantify the probability of failure and risk evaluation corresponding to the severity of PD defects. The proposed risk assessment framework may be utilized to support asset managers in scheduling the regular maintenance activities and assist them in decision making about the type of actions required to eliminate the latent threat.
id AUKR_07c6c50a4e095579799e71546f33effb
identifier_str_mv Hassan, W., Mahmood, F., Hussain, G. A., & Amin, S. (2021). Risk assessment of low voltage motors based on PD measurements and insulation diagnostics. Measurement, 176. https://doi.org/10.1016/j.measurement.2021.109151
network_acronym_str AUKR
network_name_str AU Kuwait Rep
oai_identifier_str oai:dspace.auk.edu.kw:11675/8225
publishDate 2021
publisher.none.fl_str_mv Elsevier- Measurement Journal
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Risk assessment of low voltage motors based on PD measurements and insulation diagnosticsHussain, GhulamHassan, WaqarMahmood, FarhanAmin, SalmanPartial discharge (PD) diagnostics is a reliable technique for the health assessment of electrical motors. This paper presents a unique methodology for the failure risk assessment of the low voltage motors containing various insulation defects based on PD measurements. The severity of PD in the motors increases with the time during their operation due to electrical and environmental stresses. In this work, several artificial PD defects have been created in low voltage induction motors under laboratory conditions. Accordingly, the characteristic parameters of PD measured in the laboratory for the artificial defects are evaluated to identify their impact on the resulting degradation of the insulation. Furthermore, the classification of these defects has been carried out based on cumulative energy function using K-mean clustering algorithm followed by the estimation of insulation lifetime. In this regard, Weibull distribution has been employed to quantify the probability of failure and risk evaluation corresponding to the severity of PD defects. The proposed risk assessment framework may be utilized to support asset managers in scheduling the regular maintenance activities and assist them in decision making about the type of actions required to eliminate the latent threat.Elsevier- Measurement Journal2021-12-22T08:28:05Z2021-12-22T08:28:05Z2021-02-11Journal ArticlePeer-Reviewedinfo:eu-repo/semantics/publishedVersionHassan, W., Mahmood, F., Hussain, G. A., & Amin, S. (2021). Risk assessment of low voltage motors based on PD measurements and insulation diagnostics. Measurement, 176. https://doi.org/10.1016/j.measurement.2021.109151https://dspace.auk.edu.kw/handle/11675/8225https://www.sciencedirect.com/science/article/abs/pii/S0263224121001755College of Engineering and Applied Sciencesoai:dspace.auk.edu.kw:11675/82252022-01-13T09:22:08Z
spellingShingle Risk assessment of low voltage motors based on PD measurements and insulation diagnostics
Hussain, Ghulam
status_str publishedVersion
title Risk assessment of low voltage motors based on PD measurements and insulation diagnostics
title_full Risk assessment of low voltage motors based on PD measurements and insulation diagnostics
title_fullStr Risk assessment of low voltage motors based on PD measurements and insulation diagnostics
title_full_unstemmed Risk assessment of low voltage motors based on PD measurements and insulation diagnostics
title_short Risk assessment of low voltage motors based on PD measurements and insulation diagnostics
title_sort Risk assessment of low voltage motors based on PD measurements and insulation diagnostics
url https://dspace.auk.edu.kw/handle/11675/8225
https://www.sciencedirect.com/science/article/abs/pii/S0263224121001755