文件名称:1552
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The emergence of stronger safety and environmental
norms, the need for early decision mechanisms, together
with the widespread di usion of sensors of all kinds, result
in an increased need for research investigations in the eld
of fault detection and isolation (FDI). In particular, e-
cient and robust methods for fault and damage detection,
diagnostics and localization, are necessary for condition-
based maintenance and for fatigue and aging prevention.
Many approaches to FDI problems assume that a model of
the monitored system is available. This is a reasonable as-
sumption since many machines and processes rely on phys-
ical principles and models can be built on that basis (Ljung
(1999)). However, it is often argued that a major drawback
of model-based FDI methods lies in the requirement of a
precise model of the system to be monitored. In particular,
changes in the functioning modes and un
norms, the need for early decision mechanisms, together
with the widespread di usion of sensors of all kinds, result
in an increased need for research investigations in the eld
of fault detection and isolation (FDI). In particular, e-
cient and robust methods for fault and damage detection,
diagnostics and localization, are necessary for condition-
based maintenance and for fatigue and aging prevention.
Many approaches to FDI problems assume that a model of
the monitored system is available. This is a reasonable as-
sumption since many machines and processes rely on phys-
ical principles and models can be built on that basis (Ljung
(1999)). However, it is often argued that a major drawback
of model-based FDI methods lies in the requirement of a
precise model of the system to be monitored. In particular,
changes in the functioning modes and un
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