Active Fault Detection Based on a Statistical Test

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

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 NeymanPearson 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.
Original languageEnglish
Title of host publicationProceedings of 3rd Conference on Control and Fault-Tolerant Systems
PublisherIEEE
Publication date2016
Pages511-18
ISBN (Print)978-1-5090-0658-8
DOIs
Publication statusPublished - 2016
Event3rd International Conference on Control and Fault-Tolerant Systems - Barcelona, Spain
Duration: 7 Sep 20169 Sep 2016

Conference

Conference3rd International Conference on Control and Fault-Tolerant Systems
CountrySpain
CityBarcelona
Period07/09/201609/09/2016

Fingerprint

Dive into the research topics of 'Active Fault Detection Based on a Statistical Test'. Together they form a unique fingerprint.

Cite this