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Signal to Symbol Transformation Techniques for Robust Diagnosis in TRANSCEND

Manders, E.J. and Mosterman, P.J. and Biswas, G. (1999) Signal to Symbol Transformation Techniques for Robust Diagnosis in TRANSCEND. 10th International Workshop on Principles of Diagnosis (DX99), Scotland, June 8-11, 1999.

Full text not available from this repository.

Abstract

TRANSCEND uses qualitative transient analysis methods for monitoring and diagnosis of dynamic systems to overcome complexity and convergence issues that arise in numerical processing, especially for nonlinear systems. Generating qualitative features from real signals, the signal to symbol transformation problem, is a challenging task. This paper discusses model-driven methods for generating symbolic feature descriptions of magnitude and slope changes in noisy continuous data. Experiments have been successfully conducted on faults introduced into the cooling system of an automobile engine.

Item URL in elib:https://elib.dlr.de/3469/
Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=1999,
Title:Signal to Symbol Transformation Techniques for Robust Diagnosis in TRANSCEND
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Manders, E.J.Vanderbilt University, Nashville, TNUNSPECIFIEDUNSPECIFIED
Mosterman, P.J.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Biswas, G.Stanford University, CAUNSPECIFIEDUNSPECIFIED
Date:1999
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 155-165
Status:Published
Keywords:FDI, model based diagnosis, qualitative reasoning, signal processing, automotive application
Event Title:10th International Workshop on Principles of Diagnosis (DX99), Scotland, June 8-11, 1999
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W SY - Technik für Raumfahrtsysteme
DLR - Research area:Space
DLR - Program:W SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):UNSPECIFIED
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (until 2012) > Institut für Robotik und Systemdynamik
Deposited By: DLR-Beauftragter, elib
Deposited On:16 Sep 2005
Last Modified:06 Jan 2010 16:27

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