Considered the relationship among failure modes, a failure risk evaluation and optimization method for mechanical product design scheme based on knowledge model was proposed. The main relationship among failure modes was identified by data clustering. The method of computing the relationship coefficient of failure mode was given, thereby the relationship knowledge for failure mode could be effectively obtained. On the basis of the knowledge model of "function-failure mode-failure risk", "roof" triangle matrix and three-dimension cube were used to represent the relationship coefficient of failure mode as well as the knowledge model of "function-failure mode-failure risk-mode relationship" was set up. By means of the knowledge model, the severity evaluation method of relationship failure mode based on weighted linear synthesis was studied, and the approach to making risk priority number (RPN) of failure mode and product function was given, then the evaluation and optimization based on product failure risk knowledge for mechanical product design scheme were presented. Finally a case was studied to illustrate the proposed method.
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