针对异构、时变、耦合的复杂系统故障诊断问题,提出一种基于多传感器融合的因果映射网故障诊断方法。以时态数据挖掘为手段,实现包含原因层和结果层的快速映射网络。通过因果度定义节点连接强度,通过依赖度和影响度进行故障位置定位和影响预测。应用实例表明方法具有机理简单、算法快捷、结果直观优点。 Aiming at the problem of heterogeneous, time-varying and coupled complex system fault diagnosis, a fault diagnosis method of causal mapping network based on multi-sensor fusion is proposed. To temporal data mining as a means to achieve the cause of the results and the results of the rapid mapping network layer. The connection strength of nodes is defined by causal degree, and the location of fault location and prediction of impact are predicted by the degree of dependence and influence. Application examples show that the method has the advantages of simple mechanism, fast algorithm and intuitive result.