Abstract: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… Show more
“…Infrared imaging is a rapidly growing field with established uses in surveillance (1), and in the medical (2), agricultural (3), and civil (4) and electrical engineering sectors (5). More recently, infrared imaging has become integral to navigation of drones (6) and autonomous vehicles (7), as well as space exploration (8).…”
With increasing use of infrared imaging in medical diagnostics, military and civilian surveillance, and navigation of autonomous vehicles, there is a need for low-cost alternatives to traditional materials used in infrared optics such as germanium. Sulfur-rich copolymers hold promise, as they are made from low-cost feedstocks and have a high refractive index. In this report, cyclopentadiene was copolymerized with sulfur to provide a plastic with the highest long-wave infrared transparency reported to date for this class of materials. Diverse lens architectures were accessible through melt casting or reactive injection molding. The featured copolymer was black, which enabled its use as an infrared-transparent blind for protection of thermal imaging equipment and clandestine surveillance. These findings portend expanded use of sulfur copolymers in infrared optics.
“…Infrared imaging is a rapidly growing field with established uses in surveillance (1), and in the medical (2), agricultural (3), and civil (4) and electrical engineering sectors (5). More recently, infrared imaging has become integral to navigation of drones (6) and autonomous vehicles (7), as well as space exploration (8).…”
With increasing use of infrared imaging in medical diagnostics, military and civilian surveillance, and navigation of autonomous vehicles, there is a need for low-cost alternatives to traditional materials used in infrared optics such as germanium. Sulfur-rich copolymers hold promise, as they are made from low-cost feedstocks and have a high refractive index. In this report, cyclopentadiene was copolymerized with sulfur to provide a plastic with the highest long-wave infrared transparency reported to date for this class of materials. Diverse lens architectures were accessible through melt casting or reactive injection molding. The featured copolymer was black, which enabled its use as an infrared-transparent blind for protection of thermal imaging equipment and clandestine surveillance. These findings portend expanded use of sulfur copolymers in infrared optics.
“…The artificial intelligence fault diagnosis system can identify the image to obtain the maximum temperature, and then set the corresponding thresholds for the different devices. When the temperature exceeds this threshold or there is a large difference between the threshold temperature and the measured temperature, the diagnostic system will raise the alarm (Cheng and Xiang, 2019; Allan and Beaudry, 2014; Xia et al , 2021; Luo et al , 2021; Cui et al , 2013). The flow chart of the thermal image recognition is shown in Figure 18.…”
Section: Comparative-analysis Of Various Indoor-orbital Electrical In...mentioning
Purpose
The purpose of this study is to provide an in-depth understanding about the indoor-orbital electrical inspection robot, which is useful for motivating the further investigation on the inspection of electrical equipment. Currently, electric energy has a strong correlation with the economic development of the country. Intelligent substations play an important role in the transmission and distribution of the electricity; the maintenance of the substation has attracted intensive attention due to the requirement of reliability and safety. The indoor-orbital electrical inspection robot has increasingly become the main tool to realize the unmanned. Hence, a systematic review is conducted systematically reviewing the current technical status of the indoor-orbital electrical inspection robot and discuss the existed problems.
Design/methodology/approach
In this paper, the most essential achievements in the field of indoor-orbital electrical inspection robots were reported to present the current status, and the mechanical structures and key inspective technologies were also discussed.
Findings
Four recommendations are provided from the analyzed review, which have made constructive comments on the overall structural design, functionality, intelligence and future development direction of the indoor-orbital electrical inspection robot, respectively.
Originality/value
To the best of the authors’ knowledge, this is the first systematic review study on indoor-orbital electrical inspection robots; it fills the theoretical gap and proffers design ideas and directions for the development of the indoor-orbital electrical inspection robot.
“…IRT is widely used in a variety of industries, from the aviation industry [ 12 ] to civil engineering [ 13 ], from stress analysis [ 14 ] to damage characterization [ 15 ], from diagnostics [ 16 ] to prognostics [ 17 ]. Owing to its advantages, this NDT method is also one of the most beneficial inspections for cultural heritage assets, a topic that is gaining more and more attention and progress [ 18 ].…”
Section: Background On Irt In Cultural Heritage and Irt Using Aimentioning
Assessment of cultural heritage assets is now extremely important all around the world. Non-destructive inspection is essential for preserving the integrity of artworks while avoiding the loss of any precious materials that make them up. The use of Infrared Thermography is an interesting concept since surface and subsurface faults can be discovered by utilizing the 3D diffusion inside the object caused by external heat. The primary goal of this research is to detect defects in artworks, which is one of the most important tasks in the restoration of mural paintings. To this end, machine learning and deep learning techniques are effective tools that should be employed properly in accordance with the experiment’s nature and the collected data. Considering both the temporal and spatial perspectives of step-heating thermography, a spatiotemporal deep neural network is developed for defect identification in a mock-up reproducing an artwork. The results are then compared with those of other conventional algorithms, demonstrating that the proposed approach outperforms the others.
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