Abstract:
|
Multiple fault detection and diagnosis is a challenging
problem because the number of candidates grows exponentially
in the number of faults. In add
ition, multiple faults in dynamic
systems may be hard to detect, because they can mask or
compensate each other’s effects.
This paper presents the study of the detection and
diagnosis of multiple faults in a SR-30 Gas Turbine using
nonlinear principal component analys
is as the detection method
and structured residuals as th
e diagnosis method.
The study includes developing a
mathematical model,
software simulation with Matlab Simulink and implementation
of algorithms for detection and diagnosis of multiple faults in
the system using nonlinear pri
ncipal component analysis and
structured residuals.
A real SR-30 gas turbine was used for our studies. The
equipment is at the moment
installed in the Inter American
University of Puerto Rico, Ba
yamon Campus, and Department
of Mechanical Engineering |