Condition Monitoring of AMBs on the IoT

The Internet of Things (IoT) is the interconnection of physical devices enabling them to send and receive data over the internet. Using the IoT enables connected devices to acquire new capabilities. IoT technology has rapidly increased over the last decade and is being applied to industrial devices. AMBs are naturally apt to the IoT due to their inherent sensors and actuators. This study develops a method for the condition monitoring of AMB systems online using off-the-shelf IoT technology and custom software. In this study, a MBC500 AMB test rig is outfitted with a Raspberry Pi single board computer. The Raspberry Pi monitors the AMB’s position sensors and current sensors via an ADS1115 analog-to-digital converter. This setup allows users to remotely access the system and monitor its condition. Several typical rotordynamic malfunctions are imposed on the experimental test rig and diagnosed remotely, demonstrating the efficacy of the technique. The malfunctions include static loading and static and dynamic unbalance.