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Signal Interpretation for Monitoring and Diagnosis, A Cooling System Testbed

Manders, E.J. and Biswas, G. and Mosterman, P.J. and Barford, L.A. and Barnett, R. J. (2000) Signal Interpretation for Monitoring and Diagnosis, A Cooling System Testbed. IEEE Transactions on Instrumentation and Measurement, 49 (3), pp. 503-508.

Full text not available from this repository.

Abstract

This paper discusses our method for monitoring and diagnosis of dynamic systems. A key aspect in our approach is the interaction between a qualitative diagnosis engine that requires symbolic input data and a monitoring component that performs a signal to symbol transformation on the observed signals. We have applied the methodology to the cooling system of an automobile engine on which we have installed thermocouples and pressure sensors. Faults can be introduced into the cooling system in a controlled manner. We show that a combination of linear approximation techniques and statistical signal processing can provide robust symbolic signal values for the diagnosis algorithm

Document Type:Article
Additional Information: LIDO-Berichtsjahr=2001,
Title:Signal Interpretation for Monitoring and Diagnosis, A Cooling System Testbed
Authors:
AuthorsInstitution or Email of Authors
Manders, E.J.Vanderbilt University
Biswas, G.Vanderbilt University
Mosterman, P.J.UNSPECIFIED
Barford, L.A.Hewlett-Packard Laboratories
Barnett, R. J.Vanderbilt University
Date:2000
Journal or Publication Title:IEEE Transactions on Instrumentation and Measurement
Refereed publication:No
In SCOPUS:No
In ISI Web of Science:No
Volume:49
Page Range:pp. 503-508
Status:Published
Keywords:FDI, model based diagnosis, qualitative reasoning, instrumentation, signal to symbol transformation, signal processing, data acqisition
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
Deposited By: elib DLR-Beauftragter
Deposited On:16 Sep 2005
Last Modified:14 Jan 2010 17:50

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