基于贝叶斯网络的机械设备故障诊断方法研究

建立了一种基于贝叶斯网络的机械设备故障诊断模型，引入评分函数和蚁群算法对模型进行了优化，在模型建立过程中引入知识进行自我学习，减少了因检测对象造成的不确定信息，提高了机械设备故障检测的可信度，最后通过实例进行了验证。

Research on the mechanism fault diagnosis method based on Bayesian networks

It establishes a model of mechanical equipment fault diagnosis based on Bayesian network .Based on the score function and ant colony algorithm it optimizes the model .Appling adopting self -learning in the process of building model , this model reduces the uncertainty caused by the detection object , and improves the reliability of mechanical equipment fault detection .An example shows that the model is effective .