Abstract:
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This technical report deals with two of the main tasks of Fault
Monitoring
Systems (FMS): fault detection and fault identification. During fault
detection,
the FMS should recognize that the plant behavior is abnormal, and
therefore,
that the plant is not working properly. During fault identification,
the FMS
should conclude which type of failure has occurred. The main goal of
this work
is to consolidate a new fault detection technique, called enveloping,
and to
study the performance of the model acceptability measure as a tool to
enhance
and make more robust the fault identification process in the context of
Fuzzy
Inductive Reasoning Fault Monitoring System (FIRFMS). The enveloping
technique
and the model acceptability measure are applied to a water distribution
network
in order to detect specific faults and to identify them. This report is
focused
as a detailed description of the full work developed in the context of
the water
demand application. It does not pretend only to show the results
obtained by
FIRFMS to the application at hand but to present in detail all the
steps done
to reach these results. |