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Laboratory Stand for Air Flow Stabilization

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Abstract:

In this paper the methodology of composing mathematical models and fault detection & identification system for a laboratory stand named air flow stabilization system is given. The main objective of the system identification is to obtain the best mathematical description of a real system of interest; in our case we have modeled the dynamics of air flow in the tube. In the second part of the paper the authors present the fault detection system that is designed to detect any abnormality of air flow in the air tube and to identify four types of occurred faults.

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Periodical:

Solid State Phenomena (Volume 113)

Pages:

119-124

DOI:

https://doi.org/10.4028/www.scientific.net/SSP.113.119

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Online since:

June 2006

Authors:

Arūnas Lipnickas, Ramunė Jankauskaitė, Vilmantas Žukauskas, Vaclovas Kubilius

Keywords:

Air Flow Stabilization, Fault Detection, System Identification

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© 2006 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] J. Chen, R. J. Patton: Robust Model-based Fault Diagnosis for Dynamic Systems (London, Kluwer Academic Publishers, 1999).

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[2] A. Lipnickas, V. Macerauskas and V. Kubilius: Evolutionary learning in identification of fuzzy model of Air Flow supply system (IEEE IDAACS Workshop, Sofia, Bulgaria, 2005), pp.101-107.

DOI: 10.1109/idaacs.2005.282949

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[3] O. Nelles: Non-linear Systems Identification. From Classical Approaches to Neural Networks and Fuzzy Models (Berlin, Springer, 2001).

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[4] A. Lipnickas, J. Sa da Costa and C. Bocaniala: FDI based on two stage classifiers for fault diagnosis of valve actuators. Application to DAMADICS benchmark (EPE-PEMC'2004, Vol. 3 of 7, 2004), pp.147-153.

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