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动态系统输入环节突发性故障的检测与辨识
引用本文:胡峰,孙国基,黄刘生.动态系统输入环节突发性故障的检测与辨识[J].自动化学报,2002,28(6):881-887.
作者姓名:胡峰  孙国基  黄刘生
作者单位:1.中国科学技术大学计算机系,合肥;
基金项目:面向 2 1世纪教育振兴行动计划项目 ( YL1318),中国科学院支持高水平大学建设项目 ( KY2 70 6 ),中国博士后科研基金资助
摘    要:在分析输入环节脉冲型故障和阶跃型故障对动态系统的状态变化和测量系统输出信 息的影响的基础上,本文采用正向容错M-型滤波与反向WLS估计结合的方法,建立了输入环 节脉冲型故障的检测与故障幅度辨识算法;对于输入环节的阶跃型故障,文中建立了分别适用 于定常系统和时变系统的差分变换法与扩展状态空间方法.

关 键 词:故障检测    故障幅度辨识    动态系统
收稿时间:2000-12-19
修稿时间:2000年12月19

DETECTION AND IDENTIFICATION OF ABRUPT FAULTS IN INPUT COMPONENTS OF DYNAMIC SYSTEM
HU Feng,SUN Guo-Ji,HUANG Liu-Sheng.DETECTION AND IDENTIFICATION OF ABRUPT FAULTS IN INPUT COMPONENTS OF DYNAMIC SYSTEM[J].Acta Automatica Sinica,2002,28(6):881-887.
Authors:HU Feng  SUN Guo-Ji  HUANG Liu-Sheng
Affiliation:1.Department of Computer,University of Science and Technology of China,Hefei;The National Key Laboratory of CIMS,Xi'an Jiaotong University,Xi'an
Abstract:Under quantitatively analyzing the influence of pulse type faults and step type faults from input components on state and output, a series of new fault detection approaches and magnitude identification algorithm are built, which are combination of onward fault tolerant M type filter with the reverse weighted least squared estimators. As for step type faults, the difference transformation approach and the expanded state space approach are suggested for time invariant and time variant systems, respectively. These new methods given in this paper are practical.
Keywords:Faults detection  fault magnitude identification  dynamic system
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