Extracting Load Current Influence From Infrared Thermal Inspections

Bortoni, Edson C.; Santos, Laerte dos; Bastos, Guilherme Sousa; Souza, Luiz Edival de; Craveiro, M A C

doi:10.1109/tpwrd.2010.2046068

Cited by 23 publications

(3 citation statements)

References 9 publications

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“…CCD, charge coupled device; FPA, focal plane array; ROIC, read out integrated circuit According to the categories of equipment and underlying causes, thermal faults can be divided into four categories, that is current-induced heating fault, voltage-induced heating fault, synthetic heating fault and non-electrical fault, as summarized in Table 2 [19]. Current-induced heating faults are common in current-carrying units because of the abnormal increase of electric resistivity or load current [20]. In general, this type of fault is featured by a significant temperature rise.…”

Section: Thermal Faults Of Power Equipmentmentioning

confidence: 99%

Infrared thermography‐based diagnostics on power equipment: State‐of‐the‐art

et al. 2020

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As a non‐contact temperature distribution measurement method, infrared thermography (IRT) has emerged as an indispensable tool in condition monitoring and fault diagnosis of electrical equipment based on the absolute and relative temperature values. Manual fault inspection, as an expert‐experiences based evaluation method, has formed a mature technical scheme with a large number of application cases. However, the efficiency and accuracy of manual fault inspection are being challenged by the rapid growth in the number of equipment in power grid. The situation is improving with the advanced of image processing technique. Machine‐assisted fault diagnosis provides a novel method to assist human beings to complete fault diagnosis under the intervention of human prior knowledge. However, the limitations of infrared images bring challenges to image analysis processing especially target detection. In pursuit of automatic fault diagnosis, deep learning algorithms are introduced to achieve target detection in the complex environment. This study reviews the development of IRT‐based diagnostics beginning with the general procedures, objects, and limitations of IRT‐based fault inspection, and then gives an insight into the popular machine‐assisted fault diagnosis as well as image‐based intelligent fault identification. In addition, the future recommendations of IRT are also provided from construction of intelligent infrared detection system, establishment of an open and shared infrared image database and comprehensive utilization of joint visualization diagnosis technology.

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Section: Thermal Faults Of Power Equipmentmentioning

confidence: 99%

Infrared thermography‐based diagnostics on power equipment: State‐of‐the‐art

et al. 2020

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“…Bortoni et al [8] have developed a model to understand, to correct and to extract the temperature rise due to the load current, which is the so-called auto-regressive model.…”

Section: Load Currentmentioning

confidence: 99%

Development of models to extract ambient variables influence from outdoor thermographic inspections

Bortoni¹,

Santos²

2010

Proceedings of the 2010 International Conference on Quantitative InfraRed Thermography

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Infrared thermography is widely applied to power systems in the power substations and in the overhead transmission lines condition monitoring, aiming at continuous operation and maintenance purposes. As applied in an outdoor environment, the themographyc inspection is influenced by a number of ambient variables such as wind, solar radiation, humidity, and so forth. The aim of this paper is to present the development of mathematical models to extract the influence of ambient variables that can influence the diagnostic of a power system component based on thermographic inspection.

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“…Infrared thermography is a technique for converting infrared energy into electronic signal to produce the temperature distribution of inspected object by non-contact thermal imaging devices [13][14][15]. Owing to its advantages of safety, universal applicability, far-field measurement, large inspection coverage, and being free from electromagnetic interference, infrared thermography has been successfully used for condition monitoring and fault diagnosis of power equipment over decades [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Nondestructive Evaluation of Composite Bonding Structure Used in Electrical Insulation Based on Active Infrared Thermography

et al. 2022

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Nondestructive testing and evaluation of composite insulating components of electrical equipment is extremely necessary for assuring the safety of a power system. However, most existing nondestructive testing methods are not applicable for fast and effective live detection due to their time-consuming operation, high cost, and contact or near-field measurement. In this work, the effectiveness of active infrared thermography was investigated for detecting defects in silicone rubber (SIR)–fiber-reinforced plastic (FRP) bonding structures, which have been commonly used in insulating components of power equipment. The effectiveness of differential thermal image for enhancing the contrast of defective and sound areas and eliminating additive noise was demonstrated. Particularly, frame difference thermal image obtained by subtracting two differential thermal images extracting from respectively before and after the contrast inversion was proposed to enhance defect identification. The results revealed that defects of various sizes and depths such as voids, cracks, and interface disbonding of the SIR–FRP bonding structure were accurately detected by thermographic data. With the advantages of a quick and simple process, safety, universal applicability, visual results, far-field measurement, and quantitative defect estimation capabilities, active infrared thermography would be quite promising for live detection of electrical equipment.

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Extracting Load Current Influence From Infrared Thermal Inspections

Cited by 23 publications

References 9 publications

Infrared thermography‐based diagnostics on power equipment: State‐of‐the‐art

Infrared thermography‐based diagnostics on power equipment: State‐of‐the‐art

Development of models to extract ambient variables influence from outdoor thermographic inspections

Nondestructive Evaluation of Composite Bonding Structure Used in Electrical Insulation Based on Active Infrared Thermography

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