汽轮发动机组故障诊断的节约覆盖集概率模型

汽轮发电机组的振动故障具有多样性的特点，经常出现多种故障同时发生的情况。文中介绍了一种在节约覆盖集理论框架上集成概率推理的诊断模型，并在此基础上建立了汽轮发电机组振动多故障诊断的实用模型，以某汔轮发电机组的2类振动多故障为例验证了该方法的有效性。该模型能有效地识别出汽轮发电机组的多故障，弥补了专家系统的神经网络等诊断方法不能正确诊断多故障的不足，具有较高的诊断可靠性和实用性。

Parsimonious Covering Probability Model for Turbogenerator Vibration Faulty Diagnosis

The turbogenerator vibration faults have the character of variety. Many faults often occur synchronously. This paper introduces a diagnosing model based on parsimonious covering theory and probability. A model for turtogenerator's fault diagnosis is proposed. The availability of this method is proved by two fault diagnosis examples of turbogenerator. The results show that the model proposed can be used for multi_fault diagnosis together. It may make up shortage for some of expert systems and neural networks in some aspect. From the practice,this model has higher reliability and practicability.