Journal article
Parametric Fault Diagnosis of an Active Gas Bearing
Department of Electrical Engineering, Technical University of Denmark1
Automation and Control, Department of Electrical Engineering, Technical University of Denmark2
Department of Applied Mathematics and Computer Science, Technical University of Denmark3
Dynamical Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark4
Department of Mechanical Engineering, Technical University of Denmark5
Solid Mechanics, Department of Mechanical Engineering, Technical University of Denmark6
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.
Language: | English |
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Publisher: | Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers |
Year: | 2019 |
Pages: | 69-84 |
ISSN: | 20054092 and 15986446 |
Types: | Journal article |
DOI: | 10.1007/s12555-017-0738-2 |
ORCIDs: | Sekunda, André , Niemann, Henrik , Poulsen, Niels Kjølstad and Santos, Ilmar |