Active fault detection based on a statistical test

机译：基于统计测试的主动故障检测

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摘要

In this paper active fault detection of closed loop systems using dual Youla-Jabr-Bongiorno-Kucera(YJBK) parameters is presented. Until now all detector design for active fault detection using the dual YJBK parameters has been based on CUSUM detectors. Here a method for design of a matched filter detector is proposed instead, based upon the Neyman-Pearson criterion for optimal detector design. Furthermore alternative ways to design the excitation signal which relates to indirect identification methods are presented. Examples are given on detection of actuator faults using a simulated gas bearing for both one and multiple possible parametric faults.

机译：本文提出了使用双重Youla-Jabr-Bongiorno-Kucera（YJBK）参数的闭环系统主动故障检测。到目前为止，所有使用双YJBK参数进行主动故障检测的检测器设计都基于CUSUM检测器。在此，根据用于最佳检测器设计的Neyman-Pearson准则，提出了一种用于设计匹配滤波器检测器的方法。此外，提出了与间接识别方法有关的设计激励信号的替代方法。给出了使用模拟气体轴承对一个或多个可能的参数故障进行检测执行器故障的示例。

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来源
《2016 3rd Conference on Control and Fault-Tolerant Systems》|2016年|511-518|共8页
会议地点 Barcelona(ES)
作者
Andre Sekunda; Henrik Niemann; Niels Kjølstad Poulsen;
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作者单位

Department of Electrical Engineering, Automation and Control, Tech. University of Denmark, Dk-2800 Kgs. Lyngby, Denmark;

Department of Electrical Engineering, Automation and Control, Tech. University of Denmark, Dk-2800 Kgs. Lyngby, Denmark;

Dept. of Applied Mathematics and Computer Science, Tech. University of Denmark, Dk-2800 Kgs. Lyngby, Denmark;

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原文格式 PDF
正文语种 eng
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关键词
Fault detection; Detectors; Closed loop systems; Actuators; Shafts;

机译：故障检测;检测器;闭环系统;执行器;轴;

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Active fault detection based on a statistical test

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