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A Review of Infrared Thermography for Condition-Based Monitoring in Electrical Energy: Applications and Recommendations

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dc.citedby3
dc.contributor.authorBalakrishnan G.K.en_US
dc.contributor.authorYaw C.T.en_US
dc.contributor.authorKoh S.P.en_US
dc.contributor.authorAbedin T.en_US
dc.contributor.authorRaj A.A.en_US
dc.contributor.authorTiong S.K.en_US
dc.contributor.authorChen C.P.en_US
dc.contributor.authorid57885110600en_US
dc.contributor.authorid36560884300en_US
dc.contributor.authorid57883863700en_US
dc.contributor.authorid57226667845en_US
dc.contributor.authorid57883863800en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid57883616100en_US
dc.date.accessioned2023-05-29T09:36:43Z
dc.date.available2023-05-29T09:36:43Z
dc.date.issued2022
dc.descriptionCondition based maintenance; Condition monitoring; Deep learning; Fault detection; Infrared devices; Temperature indicating cameras; Condition-based monitoring; Electrical energy; Energy applications; Faults detection; High resolution infrared; Infra-red cameras; Infrared cameras; Non destructive; Non-contact; Thermal; Thermography (imaging)en_US
dc.description.abstractCondition-based monitoring (CBM) has emerged as a critical instrument for lowering the cost of unplanned operations while also improving the efficacy, execution, and dependability of tools. Thermal abnormalities can be thoroughly examined using thermography for condition monitoring. Thanks to the advent of high-resolution infrared cameras, researchers are paying more attention to thermography as a non-contact approach for monitoring the temperature rise of objects and as a technique in great experiments to analyze processes thermally. It also allows for the early identification of weaknesses and failures in equipment while it is in use, decreasing system downtime, catastrophic failure, and maintenance expenses. In many applications, the usage of IRT as a condition monitoring approach has steadily increased during the previous three decades. Infrared cameras are steadily finding use in research and development, in addition to their routine use in condition monitoring and preventative maintenance. This study focuses on infrared crucial thermographic theoretical stages, experimental methodologies, relative and absolute temperature requirements, and infrared essential thermographic theoretical processes for electrical and electronics energy applications. Furthermore, this article addresses the major concerns and obstacles and makes some specific recommendations for future development. With developments in artificial intelligence, particularly computer fiction, depending on the present deep learning algorithm, IRT can boost CBM analysis. � 2022 by the authors.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6000
dc.identifier.doi10.3390/en15166000
dc.identifier.issue16
dc.identifier.scopus2-s2.0-85137730073
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85137730073&doi=10.3390%2fen15166000&partnerID=40&md5=2644b308ca1fe052d25161348b63709d
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26790
dc.identifier.volume15
dc.publisherMDPIen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleEnergies
dc.titleA Review of Infrared Thermography for Condition-Based Monitoring in Electrical Energy: Applications and Recommendationsen_US
dc.typeReviewen_US
dspace.entity.typePublication
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