Equipment fault diagnosis method based on fault knowledge base and Bayesian network

The invention discloses an equipment fault diagnosis method based on a fault knowledge base and a Bayesian network, and the method comprises the following steps: carrying out the fault recognition ofa fault mode of a BOG compressor through collecting expert experience, and building the fault knowledge base of the BOG compressor according to a fault recognition result; establishing a Bayesian network model of mutual reasoning between the fault mode and the fault performance according to the fault performance in the fault knowledge base; and according to the established Bayesian network model,carrying out reasoning analysis on the online parameters of the equipment to obtain the probability of possible occurrence of each fault mode of the equipment, outputting and displaying the probabilities, and giving a corresponding alarm signal to the fault mode of which the fault probability exceeds a specified threshold. 本发明公开了一种基于故障知识库和贝叶斯网络的设备故障诊断方法，包括以下步骤：通过收集专家经验对BOG压缩机的故障模式进行故障识别，依据故障识别的结果建立BOG压缩机的故障知识库；依据故障知识库中的故障表