Dynamic Multiple Fault Diagnosis Based on HMM and BPSO

摘要：

　　For systems needed short diagnosis delay,dynamic multiple faults diagnosis (DMFD) is put forward for the systems of demanding diagnosis quickly.In this paper,a method of DMFD based Hidden Markov Mode (HMM) is established for the systems inner states transform and the corresponding external observing sequence,thus the inner states transform could be recovered from the external observing sequence with the decoding algorithm of HMM,which belongs to NP completeness problems.This paper decomposes original DMFD problem into several separable subproblems,and solves each of them with binary particle swarm optimization algorithm(BPSO).It is shown from the application examples that the systems real-time health status could be evaluated at a high correct ratio with this method.

关键词： dynamic multiple fault diagnosis Hidden Markov Model BPSO

作者: Liu Xiaoqin Dong Zewei Qu Hongdong Song Limei

作者单位: Department of Avionics and Weapons Engineering Army Aviation Institute of PLA Beijing, China Department of flight simulation training Army Aviation Institute of PLA Beijing, China

会议类型: 国际会议

会议名称: 2015 Fifth International Conference on Instrumentation and Measurement,Computer,Communication and Control (IMCCC2015)(第五届仪器测量、计算机通信与控制国际会议)

会议地点: 秦皇岛

会议语种:英文

页码: 186-191

在线出版日期: 2015-09-18（万方平台首次上网日期，不代表论文的发表时间）