1. RFTacho: Non-intrusive RF monitoring of rotating machines
- Author
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Heggo, M, Bhatia, L, McCann, J, Lloyd's Register Foundation, Engineering & Physical Science Research Council (E, Imperial Innovations Ltd, and IP2IPO Innovations Limited
- Subjects
Signal Processing (eess.SP) ,Technology ,Science & Technology ,Computer Science, Information Systems ,FREQUENCY-SHIFT ,VIBRATION ,Rotation Monitoring ,eess.SP ,Engineering, Electrical & Electronic ,EMF ,Engineering ,LIGHT ,Antenna ,ORBITAL ANGULAR-MOMENTUM ,Computer Science ,Telecommunications ,FOS: Electrical engineering, electronic engineering, information engineering ,Electrical Engineering and Systems Science - Signal Processing ,Orbital Angular Monitoring - Abstract
Measuring rotation speed is essential to many engineering applications; it elicits faults undetectable by vibration monitoring alone and enhances the vibration signal analysis of rotating machines. Optical, magnetic or mechanical Tachometers are currently state-of-art. Their limitations are they require line-of-sight, direct access to the rotating object. This paper proposes RFTacho, a rotation speed measurement \emph{system} that leverages novel hardware and signal processing algorithms to produce highly accurate readings conveniently. RFTacho uses RF Orbital Angular Momentum (OAM) waves to measure rotation speed of multiple machines simultaneously with no requirements from the machine's properties. OAM antennas allow it to operate in high-scattering environments, commonly found in industries, as they are resilient to de-polarization compared to linearly polarized antennas. RFTacho achieves this by using two novel signal processing algorithms to extract the rotation speed of several rotating objects simultaneously amidst noise arising from high-scattering environments, non-line-of-sight scenarios and dynamic environmental conditions with a resolution of $1 rpm$. We test RFTacho on several real-world machines like fans, motors, air conditioners. Results show that RFTacho has avg. error of $, Accepted for publication at The International Conference on Information Processing in Sensor Networks (IPSN) 2022
- Published
- 2022
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