复杂机电产品关键装配工序物料质量损失评估及预警方法

In the view of the difficulties in the evaluation and early warning of key assembly process materials quality loss for complex electromechanical products, a evaluation and early warning method of key assembly process materials quality loss for complex electromechanical products was put forward, which integrates real-time filed data acquisition of abnormal quality information, quality loss fuzzy comprehensive evaluation, quality loss early warning. Meanwhile, the evaluated index system for key assembly process materials quality loss evaluation was founded. Subsequently, some of the key technologies were studied, including the key assembly process materials quality loss evaluation base on of fuzzy synthetic judgment with changing weight value, the key assembly process materials quality loss early warning base on GA-BP neural networks forecasting. Finally, the method was successfully applied in a complex electromechanical product enterprise, which has achieved good effect.