An Improved Infrared Thermography Techique for Hotspot Temperature, Per Unit Life and Aging Accelerating Factor Computation in Transformers

Sahu, Monika; Sharma, Saurabh; Singh, Amita; Kumar, Rajesh; Sood, Yog Raj

doi:10.1109/gucon48875.2020.9231138

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…The authors highlighted the merits and demerits of each method and applied six case studies of IRT to depict different locations of hotspots in power transformers of different ratings and recommended IRT for effective, safe, and efficient CM Sangeetha et al [32] The research obtained single-and dual-dimensional relationships between the distance of image capture, emissivity, and hotspot temperature having derived a relationship between the aforementioned three parameters Fambrini et al [33] The research presented an auto-IRT-based system for fault real-time monitoring of power distribution networks using deep learning image processing-based neural networks. The legacy JSEG IR image segmentation was used and the result proved the method would supersede the manual monitoring method Sahu et al [34] The work presented an IRT methodology for monitoring aging acceleration in transformer insulation, by calculating its per unit life. Thereafter, identified effects of transformer insulation's Aging Accelerating Factor (AAF Ti ) caused by unusually high abnormal temperature on the equipment windings.…”

Section: Mariprasath and Kirubakaran [31]mentioning

confidence: 99%

Techniques of infrared thermography for condition monitoring of electrical power equipment

Ukiwe,

Adeshina,

Tsado

2023

Journal of Electrical Systems and Inf Technol

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The application of computer vision continues to widen with advancement in technology. Imaging systems which provide necessary inputs to the computer-vision-based models can come in various ways. Such as X-ray images, Computed Tomography (CT) scan images, and Infrared (IR) images. This paper is a review of different application areas of infrared thermography (IRT) for monitoring the status of electrical power equipment. It summarizes in tabular form recent research and relevant works within the field of condition monitoring of power assets. A general review of the application of IRT in power devices was undertaken before a specific review of selected works based on IRT for important electrical power equipment with a tabular review of possible causes of hotspots using photovoltaic installation as a reference. Results of previous works were presented with highlights on performance metrics used and accuracies achieved. Emphasis where made on the future potential of IRT and some associated techniques. The work saw that heat production within systems during operation is an important characteristic that enables IRT to become applicable for monitoring diverse physical systems, most importantly power systems. The high cost of high-definition, and long-range IR cameras limits the wide adoption of the technology for its potential applications for monitoring power installations. The work recommends future research in the development of affordable IR imaging systems with advanced features for condition monitoring of physical systems such as power installations.

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Section: Mariprasath and Kirubakaran [31]mentioning

confidence: 99%

Techniques of infrared thermography for condition monitoring of electrical power equipment

Ukiwe,

Adeshina,

Tsado

2023

Journal of Electrical Systems and Inf Technol

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“…However, these methods may not be accurate owing to complex transformer structures and uneven heat transfer. Direct methods [14][15][16] , such as thermoresistive and fiber-optic 2096-1529 © 2024 China Machinery Industry Information Institute sensors, offer higher precision by being placed near or on the windings. Despite their precision, these sensors can be challenging to install and maintain, can distort the temperature field, and are susceptible to harsh conditions, thereby affecting their reliability.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Ultrasonic Propagation in Transformers within Thermal Fields and Intelligent Methodology for Hot-Spot Temperature Recognition

He,

Yang,

Guo

et al. 2024

Chin. J. Electr. Eng.

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Hot-spot temperature of transformer windings is a crucial indicator of internal defects. However, current methods for measuring the hot-spot temperature of transformers do not apply to those already in operation and suffer from data lag. This study introduces a novel inversion method that combines ultrasonic sensing technology, multiphysics simulation, and the K-nearest neighbors algorithm. Leveraging the penetrative ability and temperature sensitivity of ultrasonic sensing, a detailed physical field simulation model was established. This study extensively investigates the characteristics of ultrasonic wave signals inside transformers. The investigation includes different temperature fields, ranging from 40 ℃ to 110 ℃ at 10 ℃ intervals, and various ultrasonic wave emitter conditions. By extracting the key features of the acoustic signals, such as the peak time, propagation time, and peak amplitude, an accurate inversion of the winding hot-spot temperature is successfully achieved. The results demonstrate that this method achieves a high accuracy rate (98.57%) in inverting the internal winding hot-spot temperatures of transformers, offering an efficient and reliable new approach for measuring winding hot-spot temperatures.

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A Review of Infrared Thermography for Condition-Based Monitoring in Electrical Energy: Applications and Recommendations

Balakrishnan¹,

Yaw

Koh

et al. 2022

Energies

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Condition-based monitoring (CBM) has emerged as a critical instrument for lowering the cost of unplanned operations while also improving the efficacy, execution, and dependability of tools. Thermal abnormalities can be thoroughly examined using thermography for condition monitoring. Thanks to the advent of high-resolution infrared cameras, researchers are paying more attention to thermography as a non-contact approach for monitoring the temperature rise of objects and as a technique in great experiments to analyze processes thermally. It also allows for the early identification of weaknesses and failures in equipment while it is in use, decreasing system downtime, catastrophic failure, and maintenance expenses. In many applications, the usage of IRT as a condition monitoring approach has steadily increased during the previous three decades. Infrared cameras are steadily finding use in research and development, in addition to their routine use in condition monitoring and preventative maintenance. This study focuses on infrared crucial thermographic theoretical stages, experimental methodologies, relative and absolute temperature requirements, and infrared essential thermographic theoretical processes for electrical and electronics energy applications. Furthermore, this article addresses the major concerns and obstacles and makes some specific recommendations for future development. With developments in artificial intelligence, particularly computer fiction, depending on the present deep learning algorithm, IRT can boost CBM analysis.

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An Improved Infrared Thermography Techique for Hotspot Temperature, Per Unit Life and Aging Accelerating Factor Computation in Transformers

Cited by 3 publications

References 13 publications

Techniques of infrared thermography for condition monitoring of electrical power equipment

Techniques of infrared thermography for condition monitoring of electrical power equipment

Simulation of Ultrasonic Propagation in Transformers within Thermal Fields and Intelligent Methodology for Hot-Spot Temperature Recognition

A Review of Infrared Thermography for Condition-Based Monitoring in Electrical Energy: Applications and Recommendations

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