%0 Journal Article
%T Particle Filtering Algorithm for Fault Diagnosis of Multiple Model Hybrid Systems with Incomplete Models<br>不完备多模型混合系统故障诊断的粒子滤波算法
%A DUAN Zhuo-Hua
%A CAI Zi-Xing
%A YU Jin-Xia
%A <br>段琢华
%A 蔡自兴
%A 于金霞
%J 自动化学报
%D 2008
%I 
%X A particle filtering algorithm is presented for fault diagnosis of hybrid dynamic systems with incomplete models.Un-modeled dynamics of complex systems is denoted as"unknown-fault".Firstly,the divergence of general particle filter(GPF)for imperfect systems is discussed.Secondly,two kinds of statistics are put forward,i.e.,normalization factor of particles(W),and belief of maximal a-posteriori probability estimation state(B).Thirdly,threshold logic is presented to detect unknown-faults,and its correctness is proved under some reasonable assumptions.The efficiency of the method is testified by the simulated results.
%K Hybrid system
%K fault diagnosis
%K incomplete model
%K particle filtering
%K unknown fault<br>混合系统
%K 故障诊断
%K 不完备模型
%K 粒子滤波
%K 未知故障
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=FEB81502743C353887F75E95BC9EB09C&yid=67289AFF6305E306&vid=339D79302DF62549&iid=94C357A881DFC066&sid=93ADA2AA3F969E58&eid=D5970ECA7D10A7B1&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=20