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        Parametric Fault Diagnosis of an Active Gas Bearing

        André Sekunda,Henrik Niemann,Niels Kjølstad Poulsen,Ilmar Santos 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.1

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

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