scholarly journals Thermographic Camera Use in Brake Oriented Friction Materials Tests / Użycie Kamery Termowizyjnej w Badaniach Hamulcowych Materiałów Ciernych

2015 ◽  
Vol 33 (1) ◽  
pp. 81-90
Author(s):  
Zbigniew Skorupka
Keyword(s):  
Thermal Imaging ◽  
Friction Pair ◽  
Infrared Emission ◽  
Contactless Measurement ◽  
Imaging Method ◽  
Friction Materials ◽  
Certification Testing ◽  
Contactless Testing ◽  
Thermographic Camera ◽  
Infrared Cameras

Abstract Friction brake temperature due to its influence on brakes’ operation is subject to many test and studies. Measurements methods of this important brake parameter are being continuously developed. In order to withstand difficulty in temperature evaluation in full brake system as well as in isolated friction pair is use of contactless measurement methods. Currently, the most widespread contactless testing method of the thermal effects is to measure infrared emission by pyrometers or thermographic (infrared) cameras. Thermal imaging method wasn’t used so far during aviation brake materials usefulness evaluation and certification testing performed in Instytut Lotnictwa Landing Gear Laboratory. In this paper, author described performed friction materials tests which were recorded with thermal imaging camera as well as evaluated usefulness of the method by comparing its accuracy to thermocouple measurement.

Time-Resolved Thermoreflectance Imaging for Thermal Testing and Analysis

2013 ◽  
Author(s):  
Kazuaki Yazawa ◽  
Dustin Kendig ◽  
Ali Shakouri
Keyword(s):  
Thermal Imaging ◽  
High Speed ◽  
Near Infrared ◽  
Infrared Emission ◽  
Dynamic Imaging ◽  
Thermal Testing ◽  
Imaging Method ◽  
Time Resolved ◽  
Microelectronic Devices ◽  
Lock In

Abstract High speed, time-resolved, thermoreflectance imaging is a novel way to locate defects or regions of potential failures in microelectronic devices. This paper reports on our thermoreflectance technique for dynamic imaging of circuit temperature distributions. This transient imaging method is based on a precise electrical lock-in technique with image processing similar to an old fashioned animation movie. An ordinal shutter speed camera is used in conjunction with an illumination LED that is pulsed for sampling the temperature distribution. This paper presents the method and gives a description of the system hardware. A theoretical comparison to lock-in thermography, which is based on infrared emission imaging, will be given. Limitations of thermoreflectance and the driving factors for spatial and time resolution will be discussed. Finally, we highlight and provide examples of near infrared (NIR) wavelength imaging, to enable both through-silicon thermal imaging and emission imaging in the same system. The combination of these two techniques is expected to enable hotspot temperatures and any anomalous emission sites to be correlated, hopefully leading to a better understanding of the nature of the defect.

scholarly journals Thermal Analysis of Stomatal Response under Salinity and High Light

2021 ◽  
Vol 22 (9) ◽  
pp. 4663
Author(s):  
Aleksandra Orzechowska ◽  
Martin Trtílek ◽  
Krzysztof Michał Tokarz ◽  
Renata Szymańska ◽  
Ewa Niewiadomska ◽  
...  
Keyword(s):  
Thermal Imaging ◽  
Initial Response ◽  
Co2 Assimilation ◽  
High Light ◽  
Stomatal Aperture ◽  
Imaging Method ◽  
Stomatal Response ◽  
Time Constants ◽  
Net Co2 Assimilation ◽  
Temporary Response

A non-destructive thermal imaging method was used to study the stomatal response of salt-treated Arabidopsis thaliana plants to excessive light. The plants were exposed to different levels of salt concentrations (0, 75, 150, and 220 mM NaCl). Time-dependent thermograms showed the changes in the temperature distribution over the lamina and provided new insights into the acute light-induced temporary response of Arabidopsis under short-term salinity. The initial response of plants, which was associated with stomatal aperture, revealed an exponential growth in temperature kinetics. Using a single-exponential function, we estimated the time constants of thermal courses of plants exposed to acute high light. The saline-induced impairment in stomatal movement caused the reduced stomatal conductance and transpiration rate. Limited transpiration of NaCl-treated plants resulted in an increased rosette temperature and decreased thermal time constants as compared to the controls. The net CO2 assimilation rate decreased for plants exposed to 220 mM NaCl; in the case of 75 mM NaCl treatment, an increase was observed. A significant decline in the maximal quantum yield of photosystem II under excessive light was noticeable for the control and NaCl-treated plants. This study provides evidence that thermal imaging as a highly sensitive technique may be useful for analyzing the stomatal aperture and movement under dynamic environmental conditions.

scholarly journals Problems of Remote Temperature Measurement of Small Objects of Electricity Power Systems—On the Example of Lashing Clamps of Bridge Connections on High Voltage Poles

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5041
Author(s):  
Waldemar Minkina
Keyword(s):  
Power Systems ◽  
Temperature Measurement ◽  
High Voltage ◽  
Thermal Imaging ◽  
Electrical Power ◽  
Point Of View ◽  
Power Lines ◽  
Electricity Power ◽  
Infrared Cameras ◽  
Bridge Connections

The article presents problems occurring during remote temperature measurement of lashing clamps of bridge connections on high voltage poles using thermal imaging cameras. The basic metrological parameters of thermal imaging cameras are described. On this basis, typical errors made during the inspection of high voltage lines supplying power substations are presented using infrared cameras. Researching the possible solutions for the problems of remote temperature measurement of small objects of electricity power systems—on the example of lashing clamps of bridge connections on high voltage poles in the proposed paper and showing the basic metrological aspects and parameters of thermal imaging cameras are important because, in this way, it is observed to eliminate costly interruptions in the supply of electricity associated with the breaking of power lines. Small objects are quite difficult to be controlled and monitored on large grids and on large powerline poles; thus, it is very challenging to interpret the data offered by thermograms. The problem of remote temperature measurement of small objects in electrical power engineering is very important from the point of view of the quality and reliability of electricity supply. Obtaining early warning information about the occurrence of overheating, e.g., on lashing clamps of bridge connections, is very important, as it eliminates costly interruptions in the supply of electricity associated with the breaking of power lines supplying high voltage switchgears or substations.

Investigation on the thermal effects of NaYF4:Er under 1550 nm irradiation

2017 ◽  
Vol 19 (12) ◽  
pp. 8465-8470 ◽  
Author(s):  
Hong Wang ◽  
Xiumei Yin ◽  
Mingming Xing ◽  
Yao Fu ◽  
Ying Tian ◽  
...  
Keyword(s):  
Laser Diode ◽  
Thermal Imaging ◽  
Thermal Effects ◽  
Imaging Method ◽  
Infrared Thermal Imaging

The thermal effects of NaYF4:Er microcrystals under 1550 nm laser diode irradiation were investigated using an infrared thermal imaging method.

scholarly journals Finding Flood Survivors During Rescue Operations by Applying Deep Learning Technique on Aerial Radiometric Thermal Imaging

2019 ◽  
Vol 8 (9) ◽  
pp. 1517-1523
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
Environmental Conditions ◽  
Thermal Imaging ◽  
Learning Networks ◽  
Night Time ◽  
Rescue Work ◽  
Aerial Imaging ◽  
Thermal Cameras ◽  
Infrared Cameras

During search and rescue operations in flood disaster, application of deep learning on aerial imaging is pretty good to find the humans when the environmental conditions are favorable and clear but it starts failing when the environmental conditions are adverse or not supporting. During our findings we realized that generally rescue teams stop their rescue work in night time because of invisibility .When orientation of sun comes at front, the drone aerial picture quality starts decaying. It does not work in different types of fog. Also it is difficult to find people when they are somehow hidden in vegetation. This study explains about infrared cameras potentially very useful in disaster management especially in flood [6]. It takes deep learning networks that were originally developed for visible imagery [1], [2] and applying it to long wave infrared or thermal cameras. Most missions for public safety occur in remote areas where the terrain can be difficult to navigate and in some cases inaccessible. So the drone allows you to fly high above the trees see through gaps of foliage and locate your target even in the darkness of night through thermal cameras and then applying deep learning techniques to identify them as human. Creating accurate machine learning models capable of localizing and identifying human objects in a single image/video remained a challenge in computer vision but with recent advancement in drone, radiometric thermal imaging, deep learning based computer vision models it is possible now to support the rescue team to a bigger extent

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