Simulation-Based Performance Degradation Prognostics of Electro-Hydraulic Servo Valve

Article Preview

Abstract:

Simulation-based performance degradation prognostics should firstly obtain the judgment criterion to predict degradation failure, how systems or its components degenerate, and then how to display effect of degradation process on performance. In this paper, we presented a model-based performance degradation prognostic method to address this problem. For Electro-Hydraulic servo valve case, it has strict demands on performance. Degradation of the valve is propagated forward in time and influence on performance output. The proposed degradation prognostics method is illustrated through performing comprehensive simulation experiments.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1114-1117

Citation:

Online since:

December 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Hiremath S. S., Singaperumal M., Stiffness analysis of feedback spring and flexure tube of jet pipe electro-hydraulic servo valve using finite element method. Proceedings of ASME FEDSM'02. July 1-6, (2002).

DOI: 10.1115/fedsm2002-31304

Google Scholar

[2] Car S. Byington P.E., Paul S., A Model-based Approach to Prognostics and Health Management for Flight Control Actuators, IEEE Aerospace Conference, pp.1-12, (2004).

DOI: 10.1109/aero.2004.1368172

Google Scholar

[3] Matthew J. D. and Kai G., A Model-Based Prognostics Approach to Pneumatic Valves, International Journal of Prognostics and Health Management, pp.1-16, (2011).

Google Scholar

[4] Chaitanya S., Bharath P., Anuradha K., Krishna P., et. al, Model-based and Data-driven Prognostics of Automotive and Electronic Systems, 5th Annual IEEE Conference on Automation Science and Engineering, pp.96-101, (2009).

Google Scholar

[5] Dawn An, Joo-Ho Choi, and Nam Ho Kim , A Tutorial for Model-based Prognostics Algorithms based on Matlab Code, Annual Conference of Prognostics and Health Management Society, pp.1-9, (2012).

Google Scholar

[6] Fan J., Yung K. C., and Pecht M., Physics-of-Failure-Based Prognostics and Health Management for High-Power White Light-Emitting Diode Lighting, IEEE Transactions on Device and Materials Reliability, Vol. 11, pp.407-416, (2011).

DOI: 10.1109/tdmr.2011.2157695

Google Scholar

[7] Zeng SK, Ma JM, Li FX , Design optimization considering performance and reliability, Proceedings Annual Reliability and Maintainability Symposium, Jan., pp.201-205, (2009).

DOI: 10.1109/rams.2009.4914675

Google Scholar

[8] Chen YX, Kang R, Sun YF, Integrating design for performance and reliability, Proceedings Annual Reliability and Maintainability Symposium, Jan., pp.343-348, (2006).

DOI: 10.1109/rams.2006.1677398

Google Scholar

[9] Gong LH (2008), Contamination control of hydraulic system, Beijing: National Defense Industry Press, (2008).

Google Scholar