Reference : A Sparse Estimation Approach to Fault Isolation
Scientific journals : Article
Engineering, computing & technology : Aerospace & aeronautics engineering
Engineering, computing & technology : Energy
http://hdl.handle.net/2268/27551
A Sparse Estimation Approach to Fault Isolation
English
Borguet, Sébastien mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale >]
Léonard, Olivier mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale >]
Feb-2010
Journal of Engineering for Gas Turbines & Power
American Society of Mechanical Engineers
132
2
021601-1 021601-7
Yes (verified by ORBi)
International
0742-4795
New York
NY
[en] gas-path analysis ; fault isolation ; sparse estimation
[en] Least-squares-based methods are very popular in the jet engine community for health
monitoring purposes. In most practical situations, the number of health parameters exceeds
the number of measurements, making the estimation problem underdetermined. To
address this issue, regularization adds a penalty term on the deviations of the health
parameters. Generally, this term imposes a quadratic penalization on these deviations. A
side effect of this technique is a relatively poor isolation capability. The latter feature can
be improved by recognizing that abrupt faults impact at most one or two component(s)
simultaneously. This translates mathematically into the search for a sparse solution. The
present contribution reports the development of a fault isolation tool favoring sparse
solutions. It is very efficiently implemented in the form of a quadratic program. As a
validation procedure, the resulting algorithm is applied to a variety of fault conditions
simulated with a generic commercial turbofan model.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/27551
10.1115/1.3156815
http://link.aip.org/link/?GTP/132/2/htmltoc

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