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Parametric Fault Diagnosis of an Active Gas Bearing

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  • Control Theory and Applications
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Abstract

Recently research into active gas bearings has had an increase in popularity. There are several factors that can make the use of gas bearings favourable. Firstly gas bearings have extremely low friction due to the usage of gas as the lubricant which reduce the needed maintenance. Secondly gas bearings is a clean technology which makes it possible to use for food processing, air condition and applications with similar requirements. Active gas bearings are therefore useful for applications where downtime is expensive and dirty lubricants such as oil are inapplicable. In order to keep as low downtime as possible it is important to be able to determine when a fault occurs. Fault diagnosis of active gas bearings is able to minimize the necessary downtime by making certain the system is only taken offline when a fault has occurred. Usually industry demands the removal of any sensor redundancy in systems. This makes it impossible to isolate faults using passive fault diagnosis. Active fault diagnosis methods have been shown able to isolate faults when there is no sensor redundancy. This makes active fault diagnosis methods relevant for industrial systems. It is in this paper shown possible to apply active fault diagnosis to diagnose parametric faults on a controllable gas bearing. The fault diagnosis is based on a statistical detector which is able to quantify the quality of the diagnosis scheme.

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Authors and Affiliations

  1. Department of Electrical Engineering, Automation and Control, Tech. University of Denmark, Denmark, Denmark

    André Sekunda, Henrik Niemann, Niels Kjølstad Poulsen & Ilmar Santos

Authors
  1. André Sekunda
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  2. Henrik Niemann
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  3. Niels Kjølstad Poulsen
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  4. Ilmar Santos
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Corresponding author

Correspondence to André Sekunda.

Additional information

Recommended by Associate Editor M. Chadli under the direction of Editor Duk-Sun Shim. This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

André Sekunda received the M.Sc degree in Control Engineering from Aalborg University in 2014 and his Ph.D. degree from DTU in 2018. His research interests include Closed Loop Identification, Coprime Factorisations, and Active Fault Diagnostics.

Hans Henrik Niemann received his M.Sc degree in mechanical engineering in 1986 and the Ph.D. degree in 1988 from Technical University of Denmark. From 1988 to 1994 he had a research position and from 1994 he has been Ass. Professor in control engineering at Technical University of Denmark. His research interests are optimal and robust control, fault detection and isolation, active fault diagnosis, fault tolerant control, controller architecture for controller switching and fault tolerant control, system and performance monitoring, controller anti-windup. He is a first author of more than 80 journal and conferences papers.

Niels Kjølstad Poulsen was born in the central part of Zealand, Denmark in 1956. He received his M.Sc. and Ph.D. degrees in electrical engineering from The Institute of Mathematical Statistics and Operations Research (IMSOR), the Technical University of Denmark, in 1981 and 1984, respectively. He has been employed at the Technical university of Denmark from 1984, since 1990 as an associate professor at the Department of Applied Mathematics and Computer Science. His primary research interests is within stochastic control theory, system identification and fault diagnosis.

Ilmar Ferreira Santos received the Dr.- Ing. degree from the Technical University of Munich, in Germany, the Dr.Techn. degree from the Technical University of Denmark, and the livre-docente degree from State University of Campinas, Brazil. He is full professor at the Department of Mechanical Engineering of the Technical University of Denmark. He works in the field of design, monitoring, and control of electromechanical systems with emphasis on rotating machines. His research interests focus upon machinery dynamics, tribology, and control (mechatronics).

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Sekunda, A., Niemann, H., Poulsen, N.K. et al. Parametric Fault Diagnosis of an Active Gas Bearing. Int. J. Control Autom. Syst. 17, 69–84 (2019). https://doi.org/10.1007/s12555-017-0738-2

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  • DOI: https://doi.org/10.1007/s12555-017-0738-2

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