Degree of polymerisation estimation for insulation paper immersed in silicone oil using frequency domain dielectric spectroscopy

Zhou, Lijun; Zhang, Jun; Li, Zhixin; Wen, Rongting; Wang, Dongyang; Wu, Jiekang; Tang, Huiling

doi:10.1049/hve2.12329

Cited by 2 publications

(1 citation statement)

References 45 publications

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“…Oil-paper insulation is widely used in power equipment, due to its high electric strength, excellent heat dissipation performance and low cost [1,2]. During long-term operation, oil-paper insulation bears mechanical, chemical, electrical, and thermal stresses, causing the degree of polymerization (DP) to decrease [3]. Among them, the moisture can greatly accelerate the degradation process, a Correspondence to: Shengkang Wang.…”

Section: Introductionmentioning

confidence: 99%

Frequency‐Domain Dielectric Response of Insulating Paper with High Humidity

Tu,

Wang,

Chen

et al. 2023

IEEJ Transactions Elec Engng

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The frequency‐domain dielectric spectroscopy (FDS) of humid insulating paper has been measured at different temperatures. The data show three independent dielectric processes: electrode polarization, hopping conductivity and interfacial polarization. The dielectric properties of humid insulating paper are composed of hopping conductivity and interfacial polarization, and its equivalent dielectric model can be represented by a Havriliak‐Negami (HN) relaxation branch parallel hopping conductivity. At high temperatures and low frequencies, the measured dielectric spectroscopy bends downward, which is caused by the electrode polarization. In this case, the equivalent dielectric model is composed of the body impedance of insulating paper and the electrode polarization in series. According to the equivalent dielectric model, the components of electrode polarization, hopping conductivity, and interface polarization can be separated, thereby eliminating the parasitic effect of electrode polarization on the dielectric properties of insulating paper. Both of hopping conductivity and interface polarization of insulating paper move toward high‐frequency direction with temperature increasing. For humid insulating paper with a moisture content of 5.9%, the activation energies of hopping conductivity and interface polarization are 1.18 and 0.99 eV, respectively. This difference in activation energies results in the inability of the spectrums of insulating paper to overlap with each other at different temperatures. Based on the insulating paper without oil immersion, the results obtained in this article are not affected by oil or oil‐immersion operations. This provides a reference for exploring the dielectric properties and physical mechanisms of oil‐paper composite insulation materials widely used in high‐voltage equipment. © 2023 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

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Section: Introductionmentioning

confidence: 99%

Frequency‐Domain Dielectric Response of Insulating Paper with High Humidity

Tu,

Wang,

Chen

et al. 2023

IEEJ Transactions Elec Engng

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Analyzing Transformer Insulation Paper Prognostics and Health Management: A Modeling Framework Perspective

Adekunle,

Fofana,

Picher

et al. 2024

IEEE Access

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In the era of Industry 4.0, digital transformation has spurred the swift advancement of technologies, including intelligent predictive maintenance scheduling, prognostics and health management. The accurate prediction of remaining useful life plays a crucial role in these technologies as it extends power equipment's safe operational duration and decreases the maintenance costs associated with unforeseen shutdowns. Also, the increased accessibility of data for monitoring system conditions has paved the way for the more immense adoption of machine learning models in prognostics and health management for power transformers. At the moment, with the ever-increasing demand for electricity, there is a corresponding increase in the degradation processes of power transformers. Transformers insulation system and more importantly, the paper insulation happens to be the principal part where the degradation is prominent. Therefore, an accurate prediction of the insulating paper condition through its degree of polymerization is required to guarantee the reliability of power transformers. In this regard, the predictions, reliability, and health monitoring of this power equipment can be actualized by modeling the degradation of transformer insulation paper through several machine learning frameworks. In this view, this review paper has been drafted not only to serve as a guide for researchers interested in the fields of transformer insulation system fault prognosis but also to offer insights into potential research directions as existing literature in modeling and evaluating transformer paper insulation is presented.INDEX TERMS Insulating paper, ageing, degree of polymerization, prognostics and health management, machine learning model.

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Degree of polymerisation estimation for insulation paper immersed in silicone oil using frequency domain dielectric spectroscopy

Cited by 2 publications

References 45 publications

Frequency‐Domain Dielectric Response of Insulating Paper with High Humidity

Frequency‐Domain Dielectric Response of Insulating Paper with High Humidity

Analyzing Transformer Insulation Paper Prognostics and Health Management: A Modeling Framework Perspective

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