Abstract
Abstract At present, it is difficult to determine whether cavitation has occurred in the pump turbine model test, with a large human error and no more accurate judgment guidelines, this paper proposes an intelligent algorithm based on image recognition to determine when cavitation has occurred. The method collects images of water bodies in the recognition area, extracts and processes the features of fixed parts, and compares them with database image data to finally realize the recognition of cavitation phenomena. The results show that the method captures the cavitation phenomenon more accurately and efficiently, and achieves the intelligent judgment of the cavitation phenomenon.
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