A Batch Detection Algorithm Installed on a Test Bench

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Sep 23, 2012
Jérôme Lacaille Valerio Gerez

Abstract

Test benches are used to evaluate the performance of new turbofan engine parts during development phases. This can be especially risky for the bench itself because no one can predict in advance whether the component will behave properly. Moreover, a broken bench is often much more expensive than the deterioration of the component under test. Therefore, monitoring this environment is appropriate, but as the system is new, the algorithms must automatically adapt to the component and to the driver's behavior who wants to experience the system at the edge of its normal domain.

In this paper we present a novelty detection algorithm used in batch mode at the end of each cycle. During a test cycle, the pilot increases the shaft speed by successive steps then finally ends the cycle by an equivalent slow descent. The algorithm takes a summary of the cycle and works at a cycle frequency producing only one result at the end of each cycle. Its goal is to provide an indication to the pilot on the reliability of the bench's use for a next cycle.

How to Cite

Lacaille, J., & Gerez, V. (2012). A Batch Detection Algorithm Installed on a Test Bench. Annual Conference of the PHM Society, 4(1). https://doi.org/10.36001/phmconf.2012.v4i1.2117
Abstract 328 | PDF Downloads 144

##plugins.themes.bootstrap3.article.details##

Keywords

diagnostic algorithm, turbofan, PHM, EHM, test bench, aircraft engines

References
Bellas, A. & Bouveyron, Ch. & Cottrell, M. & Lacaille, J. (2012), Robust Clustering of High Dimensional Data. In proceedings of ESANN, Bruges, Belgium
Blanchard, S. & Lacaille, J. & Cottrell, M. (2009), Health monitoring des moteurs d’avions. In « Les entretiens de Toulouse », France.
Cômes, E. & Cottrell, M. & Verleysen, M. & Lacaille, J. (2010a), Aircraft engine health monitoring using self- organizing maps. In proceedings of ICDM, Berlin, Germany.
Cômes, E. & Cottrell, M. & Verleysen, M. & Lacaille, J. (2010b), Self organizing star (sos) for health monitoring. In proceedings of ESANN, Bruges, Belgium.
Cômes, E. & Cottrell, M. & Verleysen, M. & Lacaille. J. (2011), Aircraft engine fleet monitoring using Self- Organizing Maps and Edit Distance. In WSOM proceedings, Espoo, Finland.
Cottrell, M. & Gaubert, P. & Eloy, C. & François, D. & Hallaux, G. & Lacaille, J. & Verleysen, M. (2009), Fault prediction in aircraft engines using self- organizing maps. In proceedings of WSOM, Miami, FL.
Flandrois, X. & Lacaille, J. (2009), Expertise transfer and automatic failure classification for the engine start capability system. In proceedings of AIAA Infotech, Seattle, WA.
Hazan, A. & Verleysen, M. & Cottrell, M. & Lacaille, J. (2010a), Trajectory clustering for vibration detection in aircraft engines. In proceedings of ICDM, Berlin, Germany.
Hazan, A. & Verleysen, M. & Cottrell, M. & Lacaille, J. (2010b), Linear smoothing of FRF for aircraft engine vibration monitoring. In proceedings of ISMA, Louvain.
Hazan, A. & Lacaille, J. & Madani, K. (2012), Extreme value statistics for vibration spectra outlier detection. In proceedings of CM-MFPT, London, UK.
Klein, R. (2009), Model based approach for identification of gears and bearings failure modes. In proceedings of PHM Society Conference, San Diego, CA.
Lacaille, J. & R. Nya-Djiki, R. (2009), Model based actuator control loop fault detection. In proceedings of Euroturbo Conference, Graz, Austria.
Lacaille, J. (2009a), An automatic sensor fault detection and correction algorithm. In proceedings of AIAA ATIO, Hilton Head, SC.
Lacaille, J. (2009b), A maturation environment to develop and manage health monitoring algorithms. In proceedings of PHM Society Conference, San Diego, CA.
Lacaille, J. (2009c), Standardized failure signature for a turbofan engine, In proceedings of IEEE Aerospace Conference, Big Sky, MT.
Lacaille, J. (2010a), Validation of health-monitoring algorithms for civil aircraft engines, In proceedings of IEEE Aerospace Conference, Big Sky, MT, 2010.
Lacaille, J. & Gerez, V. & Zouari, R. (2010b). An Adaptive Anomaly Detector used in Turbofan Test Cells. In proceedings of PHM Society Conference, Portland, OR.
Lacaille, J. & Côme, E. (2011a), Visual Mining and Statistics for a Turbofan Engine Fleet. In Proceedings of IEEE Aerospace Conference, Big Sky, MT.
Lacaille, J. & Côme, E. (2011b), Sudden change detection in turbofan engine behavior. In proceedings of the 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Cardiff, UK.
Lacaille, J. & Gerez, V. (2011c), Online Abnormality Diagnosis for real-time Implementation on Turbofan Engines and Test Cells. In proceedings of PHM Society Conference, Montreal, Canada.
Lacaille, J. (2012), Validation Environment of Engine Health Monitoring Algorithms. In proceedings of IEEE Aerospace Conference, Big Sky, MT.
Nya-Djiki, R. & Hezard, E. & Lacaille, J. (2012), Enhanced Massive Visualization of Engines Performance. In proceedings of COMADEM, Hudderfield, UK.
Seichepine, N. & Ricordeau, J. & Lacaille, J. (2011), Datamining of flight measurements. In proceedings of AIAA@Infotech, Saint Louis, MO.
Section
Technical Research Papers

Most read articles by the same author(s)

1 2 > >>