Transformer breather thermal image decomposition for fault diagnosis

Vidhya, R.; Ranjan, Prabhat; Shanker, N. R.

doi:10.1109/icees51510.2021.9383639

Cited by 7 publications

(1 citation statement)

References 21 publications

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“…For example, in [11] a prediction of transformer fault in cooling system using combining advanced thermal model and thermography. Shanker et al (2017) proposed a transformer breather thermal image decomposition for fault diagnosis [16]. Wang et al (2020) applied thermal images to assess an insulator condition under extreme operation conditions [17].…”

Section: Infrared Thermal Analysis Applied To Pdmentioning

confidence: 99%

Assessment of Partial Discharges Evolution in Bushing by Infrared Analysis

Castro¹,

Lucas²,

Fernandes³

et al. 2021

The 8th International Electronic Conference on Sensors and Applications

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The quality of power systems is related to their capability to predict failures, avoid stoppages, and increase the lifetime of their components. Therefore, science has been developing monitoring systems to identify failures in induction motors, transformers, and transmission lines. In this context, one of the most crucial components of the electrical systems is the insulation devices such as bushings, which are constantly subjected to dust, thermal stresses, moisture, etc. These conditions promote insulation deterioration, leading to the occurrence of partial discharges. Partial discharges are localized dielectric breakdown that emits ultra-violet radiation, heat, electromagnet, and acoustics waves. The most traditional techniques to identify these flaws on bushings are based on the current, ultra high frequency, and acoustic emission analysis. However, thermal analysis stands out as a noise-resistant technique to monitor several components in the power systems. Although the thermal method is applied to detect different types of faults, such as bad contacts, overloads, etc, this technique has not been previously applied to perform partial discharge detection and evaluate its evolution on bushings. Based on this issue, this article proposes two new indexes to characterize the discharge evolution based on the infrared thermal analysis: the area ratio coefficient and the Red, Green, and Blue (RGB) ratio coefficient. Seven discharge levels were induced in a contaminated bushing, and an infrared thermal camera captured 20 images per condition, totalizing 140 images. New coefficients were used to perform the identification of discharge evolution. Results indicated that values of the new indexes increase with the partial discharge activity. Thus, the new imaging processing approach can be a promising contribution to literature, improving the reliability and maintenance planning for power transmission systems.

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Section: Infrared Thermal Analysis Applied To Pdmentioning

confidence: 99%