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24 November 2023 Particle size analysis of transformer oil pollutants using dynamic light scattering technique
Zipei Zhang, Long Yu, Yinan Wu, Wei Li
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Proceedings Volume 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023); 129350H (2023) https://doi.org/10.1117/12.3000911
Event: Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 2023, Xi’an, China
Abstract
Existing particle size analysis methods are difficult to detect micron and submicron sized particles in transformer oil which generated during the early stages of transformer oil aging. As a supplement to the existing analysis methods, we introduce dynamic light scattering (DLS) to extended the lower limit of particle size detection to the nanoscale. In this work, we designed a novel multi-angle DLS system which utilizes optical fibers and microfluidic chips to achieve accurate measurement in high viscosity media. We use the self-developed system to analyze the particle size distribution in multiple aging transformer oil samples, the experimental results show that the relative errors of measurement for simulated aging samples are within 7%, and the measurement results for real aging samples are consistent with the microscopic observations.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Zipei Zhang, Long Yu, Yinan Wu, and Wei Li "Particle size analysis of transformer oil pollutants using dynamic light scattering technique", Proc. SPIE 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 129350H (24 November 2023); https://doi.org/10.1117/12.3000911
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KEYWORDS
Particles
Transformers
Statistical analysis
Dynamic light scattering
Light scattering
Autocorrelation
Standards development
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