论文部分内容阅读
针对经典联合树推理算法的信息传播共享和推理时间等问题,提出一种高效联合树推理算法.该算法基于获得的证据信息和查询节点对原始的网络结构化简,然后在化简后的网络结构上进行联合树推理.在信息传递过程中,该算法可以实现不同证据下的信息共享.经仿真验证,高效联合树算法能够在保证准确率的同时,以更短的时间作出诊断推理.基于现场收集的数据,建立水泥回转窑故障诊断系统模型并应用改进的算法实现了精准且快的故障诊断.
Aiming at the information sharing and inference time of classic joint tree reasoning algorithm, this paper proposes an efficient joint tree reasoning algorithm based on the obtained evidence information and the query node to simplify the original network structure. Then, The structure of the joint tree reasoning.In the process of information transfer, the algorithm can achieve information sharing under different evidences.The simulation results show that the efficient joint tree algorithm can make the diagnostic reasoning in a shorter time while ensuring the accuracy rate. The data collected on site was used to establish the cement rotary kiln fault diagnosis system model and to apply the improved algorithm to achieve accurate and fast fault diagnosis.