A Novel Condition Monitoring Procedure for Early Detection of Copper Corrosion Problems in Oil-Filled Electrical Transformers

Ramsey Jadim, Mirka Kans, Mohammed Alhattab and May Alhendi
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Ramsey Jadim: Department of Mechanical Engineering, Faculty of Technology, Linnaeus University, 35195 Växjö, Sweden
Mirka Kans: Department of Mechanical Engineering, Faculty of Technology, Linnaeus University, 35195 Växjö, Sweden
Mohammed Alhattab: Primary Substation Maintenance Department, Ministry of Electricity and Water, Kuwait City 13001, Kuwait
May Alhendi: Primary Substation Maintenance Department, Ministry of Electricity and Water, Kuwait City 13001, Kuwait

Energies, 2021, vol. 14, issue 14, 1-12

Abstract: The negative impacts of catastrophic fire and explosion accidents due to copper corrosion problems of oil-filled electrical transformers are still in the spotlight due to a lack of effective methods for early fault detection. To address this gap, a condition monitoring (CM) procedure that can detect such problems in the initial stage is proposed in this paper. The suggested CM procedure is based on identified measurable variables, which are the relevant by-products of the corrosion reaction, and utilizes an Early Fault Diagnosis (EFD) model to detect and solve the copper corrosion problems. The EFD model includes a fault trend chart that can track a fault progression during the useful life of transformers. The purpose of this paper is to verify and validate the effectiveness of the suggested CM procedure by an empirical study in a power plant. The result of applying this procedure was early detection of copper corrosion problems in two transformers with suspected copper corrosion propagation from a total of 84. The corrective action was adding an optimized amount of a passivator, an anticorrosion additive, to suppress the corrosion reaction at the correct time. The main conclusion of this study is the importance of early detection of transformer faults to avoid the negative impacts on societal, company, and individual levels.

Keywords: CBM strategy; condition monitoring; copper corrosion; fault detection; transformer failures (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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