Signal to Symbol Transformation Techniques for Robust Diagnosis in TRANSCEND

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Citation: Eric J. Manders and Pieter J. Mosterman and Gautam Biswas. (1999) Signal to Symbol Transformation Techniques for Robust Diagnosis in TRANSCEND. In KSL-99-05, June,1999.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Eric J. Manders and Pieter J. Mosterman and Gautam Biswas
title Signal to Symbol Transformation Techniques for Robust Diagnosis in TRANSCEND
number KSL-99-05
institution Knowledge Systems, AI Laboratory
address Loch Awe, Scotland
year 1999
month June
Bibtex more
note Tenth Intl. Workshop on Principles of Diagnosis
Access Paper
abstract Transcend, our system for monitoring and diagnosis of complex dynamic systems, uses qualitative transient analysis methods to overcome the difficulties that arise in numerical processing, especially for nonlinear systems. Future behavior of hypothesized faults is predicted in the form of signatures, and analyzed by a progressive monitoring scheme. 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.

KSL Technical Report ID: KSL-99-05
Facts about Signal to Symbol Transformation Techniques for Robust Diagnosis in TRANSCENDRDF feed
Abstract Transcend, our system for monitoring and d Transcend, our system for monitoring and diagnosis of complex dynamic systems, uses qualitative transient analysis methods to overcome the difficulties that arise in numerical processing, especially for nonlinear systems. Future behavior of hypothesized faults is predicted in the form of signatures, and analyzed by a progressive monitoring scheme. 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. he cooling system of an automobile engine.
Address Loch Awe, Scotland  +
Author Eric J. Manders and Pieter J. Mosterman and Gautam Biswas  +
Bibtype techreport  +
Has author Eric J. Manders and Pieter J. Mosterman and Gautam Biswas  +
Has identifier KSL-99-05  +
Has publishing details June,1999  +
Has title Signal to Symbol Transformation Techniques for Robust Diagnosis in TRANSCEND  +
Has where published KSL-99-05  +
Has year 1999  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-99-05  +
Month June  +
Note Tenth Intl. Workshop on Principles of Diagnosis
Number KSL-99-05  +
Process note NO  +
Title Signal to Symbol Transformation Techniques for Robust Diagnosis in TRANSCEND  +
Year 1999  +
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