Power transformers condition monitoring using dissolved gas analysis and hidden markov prediction model

• Main Author: Loo, Yau Teng
• Format: Thesis
• Language: English
• Published: 2014
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/48586/1/LooYauTengMFKE2014.pdf; http://eprints.utm.my/id/eprint/48586/; http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:81881?queryType=vitalDismax&query=Power+transformers+condition+monitoring+using+dissolved+gas+analysis+and+hidden+markov+prediction+model&public=true

The reason of the power transformer (PT) monitoring is to prevent the failure of the PT. There are many methods to detect the failure of the PT. The methods include Conventional Monitoring System (CMS), Polarization Depolarization Current (PDC) Analysis, and Hidden Markov Model (HMM). The CMS gives...