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UBC Theses and Dissertations
Consistency-based fault isolation for hybrid dynamic models Jones, Colin Neil
Abstract
Rapid detection and isolation of faults in modern systems improves safety, performance and reduces operational costs drastically. To date, expert-systems have been the method of choice, but the field of model-based diagnosis (MBD) has emerged which offers many benefits. A model of the correct structure and behavior of the device allows the diagnostic program to detect unexpected failures, or faults which have never before been seen. The heart of model-based diagnosis is the model, which has traditionally taken the form of a qualitative logic program. These languages are not familiar to most developers who are used to quantitative dynamic, or hybrid dynamic models. This thesis presents a novel method of consistency-based diagnosis (one form of MBD), which allows the use of any model type for which an appropriate calculation engine can be written. This new technique computes the same result as any other method built upon consistency-based diagnosis given perfect knowledge, but degrades gracefully in the presence of uncertainty, which can be caused by noise or modelling errors. As a proof of concept, a quantitative hybrid dynamic model was created for the fluid power circuit of a single-degree of freedom hydraulic test bench and a calculation engine based upon hcc (hybrid concurrent constraint programming) was developed. The model and engine were used to diagnose various failures on the physical test bench with approximately 85% accuracy. The ability to use any model type, and specifically, quantitative hybrid dynamic models, represents an important contribution to the field of model-base diagnosis.
Item Metadata
Title |
Consistency-based fault isolation for hybrid dynamic models
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2001
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Description |
Rapid detection and isolation of faults in modern systems improves safety, performance
and reduces operational costs drastically. To date, expert-systems have been the method
of choice, but the field of model-based diagnosis (MBD) has emerged which offers many
benefits. A model of the correct structure and behavior of the device allows the diagnostic
program to detect unexpected failures, or faults which have never before been seen. The
heart of model-based diagnosis is the model, which has traditionally taken the form of a
qualitative logic program. These languages are not familiar to most developers who are
used to quantitative dynamic, or hybrid dynamic models.
This thesis presents a novel method of consistency-based diagnosis (one form of MBD),
which allows the use of any model type for which an appropriate calculation engine can
be written. This new technique computes the same result as any other method built upon
consistency-based diagnosis given perfect knowledge, but degrades gracefully in the presence
of uncertainty, which can be caused by noise or modelling errors. As a proof of concept,
a quantitative hybrid dynamic model was created for the fluid power circuit of a single-degree
of freedom hydraulic test bench and a calculation engine based upon hcc (hybrid
concurrent constraint programming) was developed. The model and engine were used to
diagnose various failures on the physical test bench with approximately 85% accuracy.
The ability to use any model type, and specifically, quantitative hybrid dynamic models,
represents an important contribution to the field of model-base diagnosis.
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Extent |
7165862 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-08-06
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0065464
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2001-11
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.