Abstract
Vehicle Health Management (IVHM) development process
with a strong emphasis on the COTS software tools employed
for the implementation of this process. A mix of physical
simulation and functional failure analysis was chosen as a
route for early assessment of degradation in complex systems
as capturing system failure modes and their symptoms
facilitates the assessment of health management solutions for a
complex asset. The method chosen for the IVHM development
is closely correlated to the generic engineering cycle. The
concepts employed by this method are further demonstrated
on a laboratory fuel system test rig, but they can also be
applied to both new and legacy hi-tech high-value systems.
Another objective of the study is to identify the relations
between the different types of knowledge supporting the health
management development process when using together
physical and functional models. The conclusion of this lead is
that functional modeling and physical simulation should not be
done in isolation. The functional model requires permanent
feedback from a physical system simulator in order to be able
to build a functional model that will accurately represent the
real system. This paper will therefore also describe the steps
required to correctly develop a functional model that will
reflect the physical knowledge inherently known about a given
system.
| Original language | English |
|---|---|
| Number of pages | 16 |
| DOIs | |
| Publication status | Published - 2013 |
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Keywords
- fuels
- valves
- analytical models
- engines
- vehicles
- fault detection
Cite this
}
Design for diagnostics and prognostics : a physical- functional approach. / Niculita, Ioan-Octavian; Jennions, Ian K.; Irving, Phil.
2013.Research output: Contribution to conference › Paper
TY - CONF
T1 - Design for diagnostics and prognostics
T2 - a physical- functional approach
AU - Niculita, Ioan-Octavian
AU - Jennions, Ian K.
AU - Irving, Phil
PY - 2013
Y1 - 2013
N2 - This paper describes an end-to-end IntegratedVehicle Health Management (IVHM) development processwith a strong emphasis on the COTS software tools employedfor the implementation of this process. A mix of physicalsimulation and functional failure analysis was chosen as aroute for early assessment of degradation in complex systemsas capturing system failure modes and their symptomsfacilitates the assessment of health management solutions for acomplex asset. The method chosen for the IVHM developmentis closely correlated to the generic engineering cycle. Theconcepts employed by this method are further demonstratedon a laboratory fuel system test rig, but they can also beapplied to both new and legacy hi-tech high-value systems.Another objective of the study is to identify the relationsbetween the different types of knowledge supporting the healthmanagement development process when using togetherphysical and functional models. The conclusion of this lead isthat functional modeling and physical simulation should not bedone in isolation. The functional model requires permanentfeedback from a physical system simulator in order to be ableto build a functional model that will accurately represent thereal system. This paper will therefore also describe the stepsrequired to correctly develop a functional model that willreflect the physical knowledge inherently known about a givensystem.
AB - This paper describes an end-to-end IntegratedVehicle Health Management (IVHM) development processwith a strong emphasis on the COTS software tools employedfor the implementation of this process. A mix of physicalsimulation and functional failure analysis was chosen as aroute for early assessment of degradation in complex systemsas capturing system failure modes and their symptomsfacilitates the assessment of health management solutions for acomplex asset. The method chosen for the IVHM developmentis closely correlated to the generic engineering cycle. Theconcepts employed by this method are further demonstratedon a laboratory fuel system test rig, but they can also beapplied to both new and legacy hi-tech high-value systems.Another objective of the study is to identify the relationsbetween the different types of knowledge supporting the healthmanagement development process when using togetherphysical and functional models. The conclusion of this lead isthat functional modeling and physical simulation should not bedone in isolation. The functional model requires permanentfeedback from a physical system simulator in order to be ableto build a functional model that will accurately represent thereal system. This paper will therefore also describe the stepsrequired to correctly develop a functional model that willreflect the physical knowledge inherently known about a givensystem.
KW - fuels
KW - valves
KW - analytical models
KW - engines
KW - vehicles
KW - fault detection
U2 - 10.1109/AERO.2013.6497143
DO - 10.1109/AERO.2013.6497143
M3 - Paper
ER -