设备故障诊断的粗糙集方法研究

Research on Fault Diagnosis in Systems Based on Rough Sets

针对设备的各种故障 ,利用粗糙集优越的约简理论 ,对系统的量测数据进行诊断规则提取与简化 ,并通过对多个约简表关键信息的综合 ,形成一种混合策略的诊断规则。它充分利用冗余信息 ,在信息丢失、不完备的情况下 ,仍能对设备进行正确的诊断。

A novel approach to fault diagnosis in systems based on rough sets theory was presentod which can extract rules from crude data using reduction theory. The key information in several reductions to generate the diagnosis rules was synthesized, which can deal with incomplete and inconsistent information by utilizing redundant information sufficiently. Finally, some further discussions and an example to illustrate its effectiveness was given.