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The Application of Infrared Imaging Technology in Radiator Fault Detetion

Author: LiuSiChao
Tutor: DongHua；ZhangShuangXi
School: Qingdao Technological University
Course: Heating,Gas Supply, Ventilation and Air Conditioning Engineering
Keywords: Infrared thermal imaging technology Heating radiators Failure Mode Thermal Imaging Characteristics Fault detection BP neural network
CLC: TU832.23
Type: Master's thesis
Year: 2008
Downloads: 36
Quote: 0
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Abstract


As a heating system, heating radiators terminal unit, the heat source, the heat medium heating system with the composition of the pipeline, the hot heat transfer medium to carry the air of the room, the room to compensate for heat loss. Heating radiators because of lower levels of system operation and management, water quality varies greatly around the working pressure is high and the heat sink material itself or components consisting of physical and chemical properties of its own defects and other reasons, resulting in a variety of heating radiators prone to failure , such as corrosion, etc., seriously affect the normal operation radiator, increasing operating costs and shorten the life of the radiator heating. Currently, heating radiators fault detection still remain in the experienced judgment stage, therefore, it is necessary to find an objective, scientific approach to determine heating radiator failure. In this paper, heating radiators as the research object, the infrared camera used in heating radiator fault detection. According to radiator heating radiators fault fault feature will be divided into quality failures, corrosion failures and operational failures three kinds of failure modes. In the analysis of infrared cameras detect heat conduction theory and on the basis of physical principles to corrosion, for example, to establish fault column heating radiators heat transfer model, confirmed the infrared thermal imaging technology thermal fault detection in heating feasibility of the application. The fault detection bench radiator built in an enclosed chamber, by changing the supply and return water temperature, flow, temperature and other experimental conditions and detection distance shot a lot of various types of radiators infrared image. Select a typical heating radiators infrared thermal images of normal and fault heatsink thermal images were compared, using thermal imaging characteristics, and white (or horizontal) mutual ratio and phase (or portrait) combined analysis of comparative Comparison Tests analyze, summarize normal and different fault respective characteristic infrared radiator, radiator combined structure, operation conditions and installation processes, etc., can detect faults heating radiators, infrared-based online fault detection and early warning radiator of the fault location, size and severity of qualitative analysis. Various factors affecting the experiment were analyzed for this experiment experimental environment and conditions, overlook some minor factors on the experimental error caused. To Infrared their accuracy and background radiation, ambient temperature, emissivity of the test substance, such as testing conditions, so that the thermal images captured heating radiator surface temperature generated errors are corrected for the future on the radiator Quantitative analysis of faults foundation. By using the BP neural network radiator surface thermocouple temperature as a true value established heating radiator surface temperature correction model, and achieved good correction effect.

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CLC: > Industrial Technology > Building Science > Housing construction equipment > Air-conditioning, heating, ventilation,and its equipment > Heating > Heating equipment and accessories > Radiator
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