【摘要】 用粗集的方法对车辆动力及传动系统的故障数据进行分析处理 ,通过计算属性的重要性和依赖度 ,从而获得最小的有效故障特征参数向量 ,使得车辆故障的快速实时诊断成为可能 .并通过计算决策的协调度来完成多决策信息的故障诊断 .结果表明 ,粗集方法在车辆故障诊断这一领域有着广泛的应用和其他方法无法替代的优越性更多还原

【Abstract】 Rough set theory is used to treat the data of vehicle transmission system faults. The minimum fault feature vector can be obtained by calculating the importance and dependency of each attribute. Real time diagnosis, as a result, can be actualized. Ultimate decision making can be done by analyzing the consistency of decision information. The result shows that rough set theory is useful and possesses its unique merits in this field.更多还原