Most current research into the localization of leaks is focused on leaks of petroleum and natural gas pipelines, while
there is very little new work being done on the leakage of vessels. A novel air-leak diagnosis and localization method
based on infrared thermography is described in this paper, which is developed in an attempt to overcome the
disadvantages of low efficiency and poor anti-jamming ability associated with the traditional approaches to localization
of leaks from a vessel. The method achieves leak positioning through a factor θ based kernelized fuzzy clustering
segmentation done to weighted differential thermal images of the test objects. The temperature difference factor θ is
inventively built as a parameter changed with temperature range of the target region, in order to enhance the robustness
and the interference proof ability of the algorithm. Heat transfer simulation with air-leak flow is addressed by the finite
element analysis. The experimental results indicate that the method proposed is effective and sensitive. The purpose of
air-leak localization has been reached.
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