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Research on Application of Video Borescope During Engine Inspection

MENG Jiao-ru,WANG Juan (Dept.of Auto Engineering,Heilongjiang Institute of Science and Technology,Harbin 150027,China)  
A new method is introducd to inspect and recognize engine faults with video borescope in this article.First,the engine's interior face fault was detected by video borescope,then the face fault was segmented by OTSU(Maximization of interclass variance) algorithm from the borescope image.Second,three types of character parameters(surface texture,shape and size) were confirmed and used as the inputs of neural network to identify what kind of fault it is step by step.Finally,an expert system is adopted to judge the damage degree.By this method,dameges can be classified and justified automaticly by means of images recognition,and the feasibility and validity of the method has been proved by the result of practice test.
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