Authors propose a method of normalizing and analyzing structures, enabling automated cross-comparison of features observed in tested structures against predefined ones (both correct and incorrect reference elements). Application of this method, enables usage of numerical methods and neural networks for rapid classification of elements, while maintaining high level of flexibility, uncertainty and variety of input data. Additionally, a language, enabling symbolic representation of mechanical elements is presented and used in the demonstration of the proposed method applied to mechanical shafts. Authors explore one simple, and two more complex calculation models aimed at automation of the evaluation and rating of mechanical elements, with a purpose of improving the design and quality monitoring processes. Increase in efficiency of these processes results from applying proposed method as a tool for reducing common mistakes, faults, quality assessment time of large amounts of similar elements, or automatic suggesting of possible solutions.
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