Dynamic Multiple Fault Diagnosis Based on HMM and QPSO

摘要：

By analyzing the problems existed about dynamic multiple fault diagnosis (DMFD),a Hidden Markov Model (HMM) and a formal definition of DMFD are introduced to overcome the invalidation of static multiple fault diagnosis model in some situations. The optimal solution of the objective function is a traditional set covering problem,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. The optimal speed is higher than existing methods,and the overall computational complexity and time are reduced,thus the optimal results are also better.

关键词： dynamic multiple fault diagnosis Hidden Markov Model QPSO

作者: Liu Xiaoqin Huang Kaoli Lian Guangyao Yang Hua

作者单位: Ordnance Engineering College,Shi-jia-zhuang,050003 Army Aviation Institute of PLA,Beijing 101123,Chi Ordnance Engineering College,Shi-jia-zhuang,050003 Nan Chang Military Academy,Nan-chang 330103,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 1361-1365

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）