复杂动态系统的实际非完全失效故障的可诊断性评估
针对缺乏有效的非完全失效故障（Loss of effect,LOE）可诊断性量化分析方法的现状,本文提出了一种基于距离相似度的系统非完全失效故障的实际可诊断性评价方法.通过将状态空间描述的动态系统转换为时间堆栈动态模型,使故障的可诊断性评估分析问题转化为多元分布的相似度问题.给出系统非完全失效故障可检测性与可隔离性的相关定义,并对故障的可诊断性进行量化.通过求取最小二乘解计算最小巴氏距离,增大了算法适用范围.最后,通过仿真实例验证评价方法的有效性,并通过所提出的可诊断性评估算法求取非完全失效故障的最大可诊断效能系数....
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| Published in | 自动化学报 Vol. 43; no. 11; pp. 1941 - 1949 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
北京控制工程研究所 北京100190%北京空间飞行器总体设计部 北京100190%北京控制工程研究所 北京100190
2017
空间智能控制技术重点实验室 北京100190 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0254-4156 1874-1029 |
| DOI | 10.16383/j.aas.2017.c160393 |
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| Abstract | 针对缺乏有效的非完全失效故障（Loss of effect,LOE）可诊断性量化分析方法的现状,本文提出了一种基于距离相似度的系统非完全失效故障的实际可诊断性评价方法.通过将状态空间描述的动态系统转换为时间堆栈动态模型,使故障的可诊断性评估分析问题转化为多元分布的相似度问题.给出系统非完全失效故障可检测性与可隔离性的相关定义,并对故障的可诊断性进行量化.通过求取最小二乘解计算最小巴氏距离,增大了算法适用范围.最后,通过仿真实例验证评价方法的有效性,并通过所提出的可诊断性评估算法求取非完全失效故障的最大可诊断效能系数. |
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| AbstractList | 针对缺乏有效的非完全失效故障(Loss of effect, LOE) 可诊断性量化分析方法的现状,本文提出了一种基于距离相似度的系统非完全失效故障的实际可诊断性评价方法.通过将状态空间描述的动态系统转换为时间堆栈动态模型,使故障的可诊断性评估分析问题转化为多元分布的相似度问题.给出系统非完全失效故障可检测性与可隔离性的相关定义,并对故障的可诊断性进行量化.通过求取最小二乘解计算最小巴氏距离,增大了算法适用范围.最后,通过仿真实例验证评价方法的有效性,并通过所提出的可诊断性评估算法求取非完全失效故障的最大可诊断效能系数. 针对缺乏有效的非完全失效故障（Loss of effect,LOE）可诊断性量化分析方法的现状,本文提出了一种基于距离相似度的系统非完全失效故障的实际可诊断性评价方法.通过将状态空间描述的动态系统转换为时间堆栈动态模型,使故障的可诊断性评估分析问题转化为多元分布的相似度问题.给出系统非完全失效故障可检测性与可隔离性的相关定义,并对故障的可诊断性进行量化.通过求取最小二乘解计算最小巴氏距离,增大了算法适用范围.最后,通过仿真实例验证评价方法的有效性,并通过所提出的可诊断性评估算法求取非完全失效故障的最大可诊断效能系数. |
| Abstract_FL | 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. |
| Author | 符方舟;王大轶;李文博 |
| AuthorAffiliation | 北京控制工程研究所,北京100190;北京空间飞行器总体设计部,北京100190;空间智能控制技术重点实验室,北京100190 |
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| Author_FL | LI Wen-Bo FU Fang-Zhou WANG Da-Yi |
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| DocumentTitleAlternate | Quantitative Evaluation of Actual LOE Fault Diagnosability for Dynamic Systems |
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| Keywords | loss of effect fault (LOE) effectiveness coefficient 巴氏距离 Dynamic systems 非完全失效故障 量化评价 fault diagnosability quantitative evaluation least squares solution 最小二乘解 动态系统 效能系数 故障可诊断性 Bhattacharyya distance |
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| Notes | Dynamic systems, fault diagnosability, quantitative evaluation, loss of effect fault （LOE）, Bhattacharyyadistance, least squares solution, effectiveness coefficient FU Fang-Zhou1 WANG Da-Yi2 LI Wen-Bo1＇ 3 （ 1. Beijing Institute of Control Engineering, Beijing 100190 2. Beijing Institute of Spacecraft System Engineering, Beijing 100190 3. Science and Technology on Space Intelligent Control Laboratory, Beijing 100190） 11-2109/TP 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 enhan |
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| Publisher | 北京控制工程研究所 北京100190%北京空间飞行器总体设计部 北京100190%北京控制工程研究所 北京100190 空间智能控制技术重点实验室 北京100190 |
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| Snippet | 针对缺乏有效的非完全失效故障（Loss of... 针对缺乏有效的非完全失效故障(Loss of effect, LOE)... |
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| SubjectTerms | 动态系统 巴氏距离 故障可诊断性 效能系数 最小二乘解 量化评价 非完全失效故障 |
| Title | 复杂动态系统的实际非完全失效故障的可诊断性评估 |
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