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Condition Monitoring of Active Magnetic Bearings on the Internet of Things

Department of Engineering, Hofstra University, 104 Weed Hall, Hempstead, NY 11549, USA
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This paper is an extended version of our paper published in: Pesch, A.H.; Scavelli, P.N. Condition Monitoring of AMBs on the IoT. In Proceedings of the 16th International Symposium on Magnetic Bearings (ISMB16), Beijing, China, 13–17 August 2018.
Actuators 2019, 8(1), 17; https://doi.org/10.3390/act8010017
Received: 20 January 2019 / Revised: 8 February 2019 / Accepted: 14 February 2019 / Published: 20 February 2019
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Abstract

A magnetic bearing is an industrial device that supports a rotating shaft with a magnetic field. Magnetic bearings have advantages such as high efficiency, low maintenance, and no lubrication. Active magnetic bearings (AMBs) use electromagnets with actively controlled coil currents based on rotor position monitored by sensors integral to the AMB. AMBs are apt to the Internet of Things (IoT) due to their inherent sensors and actuators. The IoT is the interconnection of physical devices that enables them to send and receive data over the Internet. IoT technology has recently rapidly increased and is being applied to industrial devices. This study developed a method for the condition monitoring of AMB systems online using off-the-shelf IoT technology. Because off-the-shelf IoT solutions were utilized, the developed method is cost-effective and can be implemented on existing AMB systems. In this study, a MBC500 AMB test rig was outfitted with a Raspberry Pi single board computer. The Raspberry Pi monitors the AMB’s position sensors and current sensors via an analog-to-digital converter. Several loading cases were imposed on the experimental test rig and diagnosed remotely using virtual network computing. It was found that remote AMB condition monitoring is feasible for less than USD 100. View Full-Text
Keywords: Active Magnetic Bearing; AMB; Internet of Things; IoT; Condition Monitoring Active Magnetic Bearing; AMB; Internet of Things; IoT; Condition Monitoring
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Pesch, A.H.; Scavelli, P.N. Condition Monitoring of Active Magnetic Bearings on the Internet of Things. Actuators 2019, 8, 17.

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