Persistent Link:
http://hdl.handle.net/10150/605936
Title:
Integrity Analysis and Fault Detection of Flight Test Data
Author:
Glenn, Gregory J.; Duong, Nhattrieu; Speyer, Jason L.
Affiliation:
Sysense, Inc.
Issue Date:
2010-10
Rights:
Copyright © held by the author; distribution rights International Foundation for Telemetering
Collection Information:
Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.
Publisher:
International Foundation for Telemetering
Journal:
International Telemetering Conference Proceedings
Abstract:
Undetected sensor malfunctions during flight testing can lead to cost overruns and program delays. Determining the presence of these faults in a timely manner allows the operator to mitigate their effect. One way to detect these faults is to use a priori knowledge of sensor calibration data and system dynamics to calculate measurement uncertainties. These can then be used to determine the integrity of the sensor data and report violations of expected sensor behavior. Analytical redundancy methods and residual processing can be used in conjunction with a priori sensor information to detect faults otherwise unobserved with single-instrument data as well as to isolate and identify failure modes. These simulation and analysis methods have been implemented as MATLAB® Simulink® blocks and were used to model the flight instruments, detect anomalies in the navigation instruments, and locate the origin of the errors of a flight test data set.
Sponsors:
International Foundation for Telemetering
ISSN:
0884-5123; 0074-9079
Additional Links:
http://www.telemetry.org/

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleIntegrity Analysis and Fault Detection of Flight Test Dataen_US
dc.contributor.authorGlenn, Gregory J.en
dc.contributor.authorDuong, Nhattrieuen
dc.contributor.authorSpeyer, Jason L.en
dc.contributor.departmentSysense, Inc.en
dc.date.issued2010-10en
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemeteringen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en
dc.publisherInternational Foundation for Telemeteringen
dc.description.abstractUndetected sensor malfunctions during flight testing can lead to cost overruns and program delays. Determining the presence of these faults in a timely manner allows the operator to mitigate their effect. One way to detect these faults is to use a priori knowledge of sensor calibration data and system dynamics to calculate measurement uncertainties. These can then be used to determine the integrity of the sensor data and report violations of expected sensor behavior. Analytical redundancy methods and residual processing can be used in conjunction with a priori sensor information to detect faults otherwise unobserved with single-instrument data as well as to isolate and identify failure modes. These simulation and analysis methods have been implemented as MATLAB® Simulink® blocks and were used to model the flight instruments, detect anomalies in the navigation instruments, and locate the origin of the errors of a flight test data set.en
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/605936en
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
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