A novel furfural-detection-method for the aging prediction of paper insulation in power transformer

Lei, Peng; Fu, Qiang; Lin, Musong; Zhao, Yongxiang; Qian, Yihua; Li, Shengli

doi:10.1109/ceidp.2018.8651071

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…Recently, it was suggested to detect the presence of furfural in oil using surface-enhanced Raman spectroscopy [99], which is based on the Raman effect, allowing to find the structure, properties, and content of material through scattering light produced by laser irradiation. During the same year, in [105] a novel no-extraction furfural detection method based on UV-Vis spectrometry was proposed to evaluate the aging of paper insulation by the degree of polymerization (DP). This novel spectroscopy approach used the colorimetric reaction with aniline to measure furfural in transformer oil.…”

Section: Furfural Assessmentmentioning

confidence: 99%

Review of Fiber Optic Diagnostic Techniques for Power Transformers

N’cho

Fofana

2020

Energies

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Diagnostic and condition monitoring of power transformers are key actions to guarantee their safe operation. The subsequent benefits include reduced service interruptions and economic losses associated with their unavailability. Conventional test methods developed for the condition assessment of power transformers have certain limitations. To overcome such problems, fiber optic-based sensors for monitoring the condition of transformers have been developed. Flawlessly built-up fiber optic-based sensors provide online and offline assessment of various parameters like temperature, moisture, partial discharges, gas analyses, vibration, winding deformation, and oil levels, which are based on different sensing principles. In this paper a variety and assessment of different fiber optic-based diagnostic techniques for monitoring power transformers are discussed. It includes significant tutorial elements as well as some analyses.

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Section: Furfural Assessmentmentioning

confidence: 99%