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.
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e-mail: s.borguet@ulg.ac.be
e-mail: o.leonard@ulg.ac.be
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February 2010
Research Papers
A Sparse Estimation Approach to Fault Isolation
S. Borguet,
S. Borguet
Turbomachinery Group,
e-mail: s.borguet@ulg.ac.be
University of Liège
, 1 Chemin des Chevreuils, 4000 Liège, Belgium
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O. Léonard
O. Léonard
Turbomachinery Group,
e-mail: o.leonard@ulg.ac.be
University of Liège
, 1 Chemin des Chevreuils, 4000 Liège, Belgium
Search for other works by this author on:
S. Borguet
Turbomachinery Group,
University of Liège
, 1 Chemin des Chevreuils, 4000 Liège, Belgiume-mail: s.borguet@ulg.ac.be
O. Léonard
Turbomachinery Group,
University of Liège
, 1 Chemin des Chevreuils, 4000 Liège, Belgiume-mail: o.leonard@ulg.ac.be
J. Eng. Gas Turbines Power. Feb 2010, 132(2): 021601 (7 pages)
Published Online: November 4, 2009
Article history
Revised:
March 19, 2009
Received:
March 19, 2009
Online:
November 4, 2009
Published:
November 4, 2009
Citation
Borguet, S., and Léonard, O. (November 4, 2009). "A Sparse Estimation Approach to Fault Isolation." ASME. J. Eng. Gas Turbines Power. February 2010; 132(2): 021601. https://doi.org/10.1115/1.3156815
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