Kalman filters are widely used in the turbine engine community for health monitoring purpose. This algorithm gives a good estimate of the engine condition provided that the discrepancies between the model prediction and the measurements are zero-mean, white random variables. However, this assumption is not verified when instrumentation (sensor) faults occur. As a result, the identified health parameters tend to diverge from their actual values, which strongly deteriorates the diagnosis. The purpose of this contribution is to blend robustness against sensor faults into a tool for performance monitoring of jet engines. To this end, a robust estimation approach is considered and a sensor-fault detection and isolation module is derived. It relies on a quadratic program to estimate the sensor faults and is integrated easily with the original diagnosis tool. The improvements brought by this robust estimation approach are highlighted through a series of typical test cases that may be encountered on current turbine engines.
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e-mail: s.borguet@ulg.ac.be
e-mail: o.leonard@ulg.ac.be
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March 2008
Research Papers
A Sensor-Fault-Tolerant Diagnosis Tool Based on a Quadratic Programming Approach
S. Borguet,
S. Borguet
Turbomachinery Group,
e-mail: s.borguet@ulg.ac.be
University of Liège
, Chemin des chevreuils 1, 4000 Liège, Belgium
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O. Léonard
O. Léonard
Turbomachinery Group,
e-mail: o.leonard@ulg.ac.be
University of Liège
, Chemin des chevreuils 1, 4000 Liège, Belgium
Search for other works by this author on:
S. Borguet
Turbomachinery Group,
University of Liège
, Chemin des chevreuils 1, 4000 Liège, Belgiume-mail: s.borguet@ulg.ac.be
O. Léonard
Turbomachinery Group,
University of Liège
, Chemin des chevreuils 1, 4000 Liège, Belgiume-mail: o.leonard@ulg.ac.be
J. Eng. Gas Turbines Power. Mar 2008, 130(2): 021605 (7 pages)
Published Online: March 5, 2008
Article history
Received:
May 4, 2007
Revised:
May 7, 2007
Published:
March 5, 2008
Citation
Borguet, S., and Léonard, O. (March 5, 2008). "A Sensor-Fault-Tolerant Diagnosis Tool Based on a Quadratic Programming Approach." ASME. J. Eng. Gas Turbines Power. March 2008; 130(2): 021605. https://doi.org/10.1115/1.2772637
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