Development of portable deterioration diagnosis device for oil filled transformers based on near‐infrared spectroscopic information

Author:

Oshima Seiichirou12,Suehara Ken‐Ichiro23,Fushimi Fumiya1,Nakamura Hisahide1,Hashimoto Atsushi4

Affiliation:

1. Research & Development Division TOENEC Corporation Aichi Japan

2. Graduate School of Regional Innovation Studies Mie University Mie Japan

3. Center for Data Science Education and Research Mie University Mie Japan

4. Graduate School of Bioresources Mie University Mie Japan

Abstract

AbstractA transformer plays a key role in electric power distribution system; therefore, when the transformer fails, several electrical components may get affected. As a result, diagnosing the deterioration of transformers is important for the management of electric power distribution system. The furfural content in the insulating oil of a transformer is widely used as an indicator of deterioration because furfural is generated by the decomposition of insulating paper. However, analyzing the furfural content is time consuming because of the requirement of a professional and the complexity of the diagnosis process. In this study, we propose a novel method for analyzing the amount of furfural in the insulating oil based on near‐infrared spectroscopic data obtained using the developed portable spectrometer, which can be used for the on‐site analysis at transformer installation sites. We selected wavenumbers with high correlation coefficients between the furfural content of oil and the spectroscopic data and estimated the furfural content by partial least squares regression. The results suggest that the furfural content can be analyzed in a few minutes using a small amount of oil through a portable diagnostic device.

Publisher

Wiley

Reference29 articles.

1. Investigating R&D Committee for Asset Management for Electric Power Equipment Based on Insulation Diagnosis.Asset Management for Electric Power Equipment Based on Insulation Diagnosis. IEEJ Technical Report No. 1243 (2012) (in Japanese)

2. The Japan Electrical Manufacturers’ Association.A Survey on Recommended Replacement Riming for General‐purpose High‐voltage Equipment. Report (revised) (2023) (in Japanese)

3. Ministry of Economy Trade and Industry.On Current Condition of Transformers. Material No 3 WG for Transformer Diagnosis Criteria Subcommittee on Energy Saving and New Energies 1stResearch Committee on Resources and Energy (2022) (in Japanese)

4. Committee Specialized in Proactive Maintenance Technology Investigation of Industrial Electrical Equipment.Application of Proactive Techniques for Industrial Electrical Equipment Maintenance. IEEJ Technical Report No. 1424 pp.16‐28(2018) (in Japanese)

5. Asset management on electrical equipment;Oshima S;J IEIEJ,2019

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