New near-infrared absorbance peak for inhibitor content detection in transformer insulating oil

Yang Sing Leong, Pin Jern Ker, Md Zaini Jamaludin, Saifuddin M. Nomanbhay, Aiman Ismail, Fairuz Abdullah, Hui Mun Looe, C. Nuru Saniyyati M. Shukri

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Monitoring the condition of transformer insulating oil has been considered as a crucial and effective measure for preventive maintenance of power transformers. Various properties of the oil can be monitored such as the dissolved gases, furan content, and inhibitor content. This paper focuses on the inhibitor content in insulating oil. Currently, Fourier transform infrared (FTIR) spectroscopy in accordance with the IEC 60666 standard is used for the measurement of inhibitor concentration in insulating oil. However, this technique involves site sampling, transportation to a laboratory and an expensive instrument. This work proposes the characterization of inhibitor content in insulating oil in the near-infrared (NIR) waveband, which would lead to the design of a faster and cheaper detection system for inhibitor content. It was found that the inhibitor content exhibits an optical absorbance peak at 1403 nm, which was not reported in any previous work. A mathematical model was then created to describe the relationship between the concentration of inhibitor, the area under the absorbance spectrum and the peak optical absorbance. The model was verified, and the results showed a root mean square error (RMSE) of 0.0458.

Original languageEnglish
Pages (from-to)577-582
Number of pages6
JournalSensors and Actuators, B: Chemical
Volume266
DOIs
Publication statusPublished - 01 Aug 2018

Fingerprint

Insulating oil
transformers
inhibitors
oils
Infrared radiation
Preventive maintenance
Power transformers
Mean square error
Fourier transform infrared spectroscopy
preventive maintenance
Oils
Gases
dissolved gases
Mathematical models
Sampling
root-mean-square errors
furans
Monitoring
mathematical models
infrared spectroscopy

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Condensed Matter Physics
  • Surfaces, Coatings and Films
  • Metals and Alloys
  • Electrical and Electronic Engineering
  • Materials Chemistry

Cite this

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abstract = "Monitoring the condition of transformer insulating oil has been considered as a crucial and effective measure for preventive maintenance of power transformers. Various properties of the oil can be monitored such as the dissolved gases, furan content, and inhibitor content. This paper focuses on the inhibitor content in insulating oil. Currently, Fourier transform infrared (FTIR) spectroscopy in accordance with the IEC 60666 standard is used for the measurement of inhibitor concentration in insulating oil. However, this technique involves site sampling, transportation to a laboratory and an expensive instrument. This work proposes the characterization of inhibitor content in insulating oil in the near-infrared (NIR) waveband, which would lead to the design of a faster and cheaper detection system for inhibitor content. It was found that the inhibitor content exhibits an optical absorbance peak at 1403 nm, which was not reported in any previous work. A mathematical model was then created to describe the relationship between the concentration of inhibitor, the area under the absorbance spectrum and the peak optical absorbance. The model was verified, and the results showed a root mean square error (RMSE) of 0.0458.",
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New near-infrared absorbance peak for inhibitor content detection in transformer insulating oil. / Leong, Yang Sing; Ker, Pin Jern; Jamaludin, Md Zaini; M. Nomanbhay, Saifuddin; Ismail, Aiman; Abdullah, Fairuz; Looe, Hui Mun; Shukri, C. Nuru Saniyyati M.

In: Sensors and Actuators, B: Chemical, Vol. 266, 01.08.2018, p. 577-582.

Research output: Contribution to journalArticle

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AU - Leong, Yang Sing

AU - Ker, Pin Jern

AU - Jamaludin, Md Zaini

AU - M. Nomanbhay, Saifuddin

AU - Ismail, Aiman

AU - Abdullah, Fairuz

AU - Looe, Hui Mun

AU - Shukri, C. Nuru Saniyyati M.

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