一个工业设备通常由多个子系统组成,各子系统在系统中的重要程度不同,导致了设计阶段的可靠性分配、运行阶段的检测水平以及维修方式的决策等都须以其重要度为基础。采用改进的TOPSIS确定系统中每个子系统的重要度,以满足实际需求。此方法在根据信息熵法求取各属性权重的基础上采用TOPSIS计算各子系统的重要度。将其应用到塑料挤出机的重要度分析中,结果表明,该方法对设备重要度的确定是有效的和实用的。
Generally, industry equipment is composed of several subsystems, and criticality of the subsystems in the equipment are different so that assigning reliability in design phase, confirming the detection level in running phase, selecting the maintenance policy for each subsystem must be based on its criticality. The improved TOPSIS used to evaluating the criticality of each subsystem of industry equipment satisfies the requirement of practical engineering. TOPSIS is employed to evaluate the criticality after the weights of each attribute are assigned using the information-entropy method. It is shown by the instance——criticality analysis of plastic extruder that the proposed method is effective and applied for evaluating the equipment criticality.