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结合船舶机舱的实际特点并对该技术的实现进行了研究设计了机舱故障智能诊断系统,采用贝叶斯数据融合技术,充分利用样本的先验信息,根据故障类型和概率统计的推理方法,建立故障知识库和推理规则,实现了故障的前期预报和故障原因的快速诊断.这种方法适用于故障有一定规律的设备.
Based on the actual characteristics of the ship’s engine room and the realization of this technology, an intelligent fault diagnosis system for the cabin was designed and designed. Bayesian data fusion technology was used to make full use of the prior information of the samples. According to the reasoning method of fault types and probability statistics, Fault knowledge base and reasoning rules to realize the early prediction of faults and the rapid diagnosis of fault causes.This method is suitable for devices with certain rules of fault.