计算机应用研究2011，Vol.28Issue(12)：4560-4563,4.DOI:10.3969/j.issn.1001-3695.2011.12.043
基于HSMM的两阶段设备缺陷状态识别方法
Method of limitation state recognition for two stage equipment based on HSMM
摘要
Abstract
This paper proposed a method of limitation state recognition based on hidden semi-Markov model( HSMM) for two stage equipment to overcome the disadvantages of traditional hidden Markov model ( HMM) , which hypothesized that the system state durations must submit to the exponential distribution. First, it analyzed the structures and characteristics of HSMM, and es-tablished a practical HSMM for two-stage equipment according to reasonable assumptions on the basis of system degradation process. Then, for the parameter estimation of HSMM, introduced the maximum likelihood estimation method to calculate the duration period of current state with small samples. Next, it put forward the HSMM based limitation state recognition process for two stage equipment using the tested state generated till the present time. At last, it implemented an example of two-stage e-quipment example to simulate the processes of HSMM modeling, parameter estimation and limitation state recognition. The sim-ulation results verify the effectiveness of the proposed methods.关键词
状态识别/延迟时间/隐半马尔可夫模型/两阶段设备Key words
state recognition/ delay time/ hidden semi-Markov model (HSMM) / two-stage equipment/分类
信息技术与安全科学引用本文复制引用
王宁,孙树栋,蔡志强,李淑敏..基于HSMM的两阶段设备缺陷状态识别方法[J].计算机应用研究,2011,28(12):4560-4563,4.基金项目
民用飞机关键技术预先研究项目 （）
航空科学基金资助项目(2009ZE53052) （2009ZE53052）
陕西省科技计划资助项目(2010K8-11) （2010K8-11）
