关键词: 复杂机电产品, 装配, 关键工序物料, 质量损失, 遗传算法, 神经网络, 评估及预警

Abstract: Aiming at the difficulties in the evaluation and early warning of key assembly process materials quality loss for complex electromechanical products,an evaluation and early warning method was put forward,which integrated real-time filed data acquisition of abnormal quality information,comprehensive evaluation of quality loss and early warning of quality loss.Meanwhile,the evaluated index system for key assembly process materials quality loss evaluation was founded.The key technologies such as the key assembly process materials quality loss evaluation base on of fuzzy synthetic judgment with changing weight value and the key assembly process materials quality loss early warning base on GA-BP neural networks forecasting were studied.The method was successfully applied in a complex electromechanical product enterprise,which had achieved good effect.

Key words: complex electromechanical products, assembly, key assembly process materials, quality loss, genetic algorithms, neural networks, evaluation and early warning