Reference : A Sparse Estimation Approach to Fault Isolation
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Mechanical engineering
Engineering, computing & technology : Aerospace & aeronautics engineering
A Sparse Estimation Approach to Fault Isolation
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 >]
Proceedings of the ASME Turbo Expo 2009
ASME Turbo Expo 2009: Power for Land, Sea and Air
June 8-12, 2009
Orlando, Floride
[en] Gas Path Analysis ; fault isolation ; sparse estimation ; quadratic programming
[en] Least-squares-based methods are very popular in the jet engine community for health monitoring purpose. In most practical situations, the number of health parameters exceeds the number of measurements, making the estimation problem underdetermined. To address this issue, regularisation adds a penalty term on the deviations of the health parameters. Generally, this term imposes a quadratic penalisation 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 favouring 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
ASME Paper GT2009-59099

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