针对雷达故障诊断中数据量庞大和属性维数多的问题，提出了一种基于粗集理论的雷达故障诊断方法，构建了故障诊断模型，介绍了诊断算法和诊断过程，并用实例进行了验证。结果表明，该方法能够有效地提高故障诊断的可靠性，减小诊断的不确定性。

Aimed at the problems of many input dimensions and lots of data in radar fault diagnosis, a method based on the rough set is proposed, and a fault diagnosis model is constructed. The diagnosis algorithm and process are introduced, and the method is proved by an example at last. The results show that the method can improve the reliability effectively and decrease the uncertainty markedly.

TN955