Remote Optical Thermography Detection Method and System for Silicone Polymer Insulating Materials Used in Power Industry

Liu, Lishuai; Mei, Hongwei; Guo, Chenjun; Tu, Yanxin; Wang, Liming; Liu, Jianben

doi:10.1109/tim.2019.2959855

Cited by 23 publications

(7 citation statements)

References 25 publications

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“…[ 4 ] highlight the benefit of infrared thermography as a tool for field phenotyping; Liu et al. [ 5 ] present a remote optical thermography detection method for silicone polymer insulating materials used in the power industry; Al-Habaibeh et al. [ 6 ] developed a method to evaluate thermal insulation performance of buildings using thermal imaging, while Cunningham et al.…”

Section: Related Workmentioning

confidence: 99%

3D Radiometric Mapping by Means of LiDAR SLAM and Thermal Camera Data Fusion

Pazzi

Pertile

Chiodini

2022

Sensors

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The ability to produce 3D maps with infrared radiometric information is of great interest for many applications, such as rover navigation, industrial plant monitoring, and rescue robotics. In this paper, we present a system for large-scale thermal mapping based on IR thermal images and 3D LiDAR point cloud data fusion. The alignment between the point clouds and the thermal images is carried out using the extrinsic camera-to-LiDAR parameters, obtained by means of a dedicated calibration process. Rover’s trajectory, which is necessary for point cloud registration, is obtained by means of a LiDAR Simultaneous Localization and Mapping (SLAM) algorithm. Finally, the registered and merged thermal point clouds are represented through an OcTree data structure, where each voxel is associated with the average temperature of the 3D points contained within. Furthermore, the paper presents in detail the method for determining extrinsic parameters, which is based on the identification of a hot cardboard box. Both methods were validated in a laboratory environment and outdoors. It is shown that the developed system is capable of locating a thermal object with an accuracy of up to 9 cm in a 45 m map size with a voxelization of 14 cm.

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Section: Related Workmentioning

confidence: 99%

3D Radiometric Mapping by Means of LiDAR SLAM and Thermal Camera Data Fusion

Pazzi

Pertile

Chiodini

2022

Sensors

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“…[28,29]. According to Fourier's law, the thermal conductivity differential equation shown in Formula (1) can be established, and the whole physical process of detection can be regarded as solving the thermal conductivity differential equation after determining the boundary conditions [30]:…”

Section: Active Infrared Thermographymentioning

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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“…Power insulation equipment is widely used in power systems and is of great significance for the safe operation of the power grid [1,2].The degradation of its internal interface can lead to a decrease in insulation and mechanical properties, which can easily lead to serious faults [3,4,5,6,7]. In recent years, terahertz wave has been widely used in equipment defect detection due to its advantages such as strong penetration, obvious signal characteristics, and fast detection speed.…”

Section: Introductionmentioning

confidence: 99%

Terahertz defect detection method based on significant spectral feature fusion and spiking neural network

Zhang,

Li,

Cao

et al. 2023

IEICE Electron. Express

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Composite insulation equipment is widely used in power systems, and the detection of internal material interface defects is an important and difficult task in power grids. Terahertz wave can help detect internal faults in equipment in a timely manner, but the analysis of large amounts of data has brought about significant labor costs. In order to improve the efficiency of Terahertz wave detection, this paper proposes a Terahertz wave defect detection method based on spectrum feature fusion and spiking neural network. By performing multiple wavelet basis transformations on terahertz wave timing waveforms, and then performing feature fusion extraction on the data through a self encoder incorporating spatial and channel attention mechanisms, the differences between different defect detection waveforms are expanded. Then, spiking neural networks are used to classify the feature fused spectra to obtain defect detection results. Compared with other typical models, this model performs better in terms of accuracy and training costs.

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Remote Optical Thermography Detection Method and System for Silicone Polymer Insulating Materials Used in Power Industry

Cited by 23 publications

References 25 publications

3D Radiometric Mapping by Means of LiDAR SLAM and Thermal Camera Data Fusion

3D Radiometric Mapping by Means of LiDAR SLAM and Thermal Camera Data Fusion

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

Terahertz defect detection method based on significant spectral feature fusion and spiking neural network

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