Towards Intrusive Non-Destructive Online Ageing Detection of Transformer Oil Leveraging Bootsrapped Machine Learning Models
Author:
Affiliation:
1. Glasgow Caledonian University,School of Computing, Engineering and Built Environment,Glasgow,UK
2. Research Chair on the Aging of Power Network Infrastructure (ViAHT) Université du Québec à Chicoutimi,QC,Canada,G7H 2B1
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10177268/10177219/10177331.pdf?arnumber=10177331
Reference22 articles.
1. Condition Assessment of Aged Transformer Oil Using Photoluminescence-Based Features
2. Partial Discharge Characteristics Due to Air and Water Vapor Bubbles in Oil;ghaffarian niasar,2011
3. IEEE Guide for the Reclamation of Mineral Insulating Oil and Criteria for Its Use;IEEEStd,2015
4. Degradation studies of electrical, physical and chemical properties of aged transformer oil
5. Early stage detection of insulating oil decaying
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