关键词: 再制造机床, 可靠性分配, 故障树模型, 神经网络, 再制造因子

Abstract: To guarantee and improve the reliability of remanufactured machine tools,a reliability allocation method based on neural network and remanufacturing factor was proposed.According to the principle of reliability allocation level by level,the fault tree model of remanufactured machine tools was established,and the faults of remanufactured machine tools were divided into system-level,subsystem-level and part-level.The three-layer feedforward neural network was trained to allocate system reliability to subsystem-level.Remanufacturing factors were determined based on multi-hierarchy fuzzy assessment,and a reliability allocation method combining remanufacturing factors and probability importance was proposed to allocate reliability from subsystem-level to part-level.Taking the remanufacturing of NC gearhobbing machine as an engineering example,the reliability target was allocated to each component of the remanufactured gearhobbing machine.The result showed that the method could ensure the reliability of the remanufactured machine tools and improve their reliability.

Key words: remanufactured machine tools, reliability allocation, fault tree model, neural network, remanufacturin factors