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Active magnetic bearing is usually applied for the intelligent device that has high running speed and huge impact in the event of a failure. It has become the research hotspot of monitoring and diagnosis technology in the field of intelligent machine. Intelligent magnetic bearing system understand the inherent state by itself, and through fault diagnosis, prediction, health management to continuously optimize and adjust itself. It is necessary to deeply study the failure mechanism of magnetic bearing system, which is helpful to develop the intelligent machine. this article mainly expounds the observed index characteristics and fault modes. Failure modes and effects criticality analysis (FMECA) is introduced to design the magnetic bearing system. The FMECA design process is to extract fault features of the best indicators or conditions, early detect and isolate faults, and predict the remaining life of the key components, finally realize the lower maintenance cost, higher safety and reliability.

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Booktitle: Proceedings of ISMB16