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复杂动态系统的实际非完全失效故障的可诊断性评估

符方舟 王大轶 李文博

自动化学报2017,Vol.43Issue(11):1941-1949,9.
自动化学报2017,Vol.43Issue(11):1941-1949,9.DOI:10.16383/j.aas.2017.c160393

复杂动态系统的实际非完全失效故障的可诊断性评估

Quantitative Evaluation of Actual LOE Fault Diagnosability for Dynamic Systems

符方舟 1王大轶 2李文博1

作者信息

  • 1. 北京控制工程研究所 北京100190
  • 2. 北京空间飞行器总体设计部 北京100190
  • 折叠

摘要

Abstract

Due to the lack of efficient approaches to quantify actual loss of effect(LOE)fault diagnosability in dynamic systems,a novel presented is presented in this paper. Discrete-time state space models are modified into dynamic models with time window of certain length,and the similarity of different multivariate distributions,instead of fault diagnosability evaluation,is analyzed. The definitions of detectability and isolability of LOE fault are given. Diagnosability performance is quantified by the method based on minimum Bhattacharyya distance. Least-squares method is utilized to enhance applicability of the novel proposed approach. In addition, a simulation example is employed to show the validity of the proposed approach and to analyze maximum effectiveness coefficient of LOE fault in dynamic systems.

关键词

动态系统/故障可诊断性/量化评价/非完全失效故障/巴氏距离/最小二乘解/效能系数

Key words

Dynamic systems/fault diagnosability/quantitative evaluation/loss of effect fault (LOE)/Bhattacharyya distance/least squares solution/effectiveness coefficient

引用本文复制引用

符方舟,王大轶,李文博..复杂动态系统的实际非完全失效故障的可诊断性评估[J].自动化学报,2017,43(11):1941-1949,9.

基金项目

国家自然科学基金项目(61690215, 61640304),国家杰出青年科学基金项目(61525301) 资助 Supported by National Natural Science Foundation of China (61690215, 61640304) and National Science Funds for Distin-guished Young Scholar of China (61525301) (61690215, 61640304)

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