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Viewing report
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Fault Diagnosis for Dynamic Systems with
Parametric Uncertainties. Edition No. 1
VDM Publishing House, Oct 2008, Pages: 116
This book presents a methodology for fault diagnosis
– detection, isolation, and identification – for
dynamic systems whose models are faced with parametric
uncertainties. This class of problems is often
encountered in practice, and has not been
exclusively dealt with in the past. The book begins
with a
review of existing literature on model-based, in
particular, observer-based fault
diagnosis for linear and nonlinear dynamic systems.
It then
focuses on a novel observer-based fault diagnosis
technique for linear time-invariant systems with
parametric uncertainties. The underlying
observer-design utilizes recent
results in the area of robust control of dynamic
systems with parametric uncertainties, and
is grounded in Kharitonov’s theorem of stability of
Interval polynomials. This paradigm of fault
diagnosis is then extended to nonlinear dynamic
systems with parametric uncertainties. The remaining
part of the book extends the proposed model-based
fault diagnosis methodology to empirical state-space
models derived from input-output data using subspace
model identification.
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