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RFTacho: Non-intrusive RF monitoring of rotating machines

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Title: RFTacho: Non-intrusive RF monitoring of rotating machines
Authors: Heggo, M
Bhatia, L
McCann, J
Item Type: Conference Paper
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 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 1𝑟𝑝𝑚. We test RFTacho on several real-world machines like fans, motors, air conditioners. Results show that RFTacho has avg. error of < 0.5% compared to ground truth. We demonstrate RFTacho’s simultaneous multiple-object measurement capability that other tachometers do not have. Initial experiments show that RFTacho can measure speeds as high as 7000 rpm (theoretically 60000 rpm) with high resiliency at different coverage distances and orientation angles, requiring only 150 mW transmit power while operating in the 5 GHz license-exempt band. RFTacho is the first RF-based sensing system that combines OAM waves and novel processing approaches to measure the rotation speed of multiple machines simultaneously in a non-intrusive way.
Issue Date: 18-Jul-2022
Date of Acceptance: 17-Feb-2022
URI: http://hdl.handle.net/10044/1/95120
DOI: 10.1109/IPSN54338.2022.00039
Publisher: IEEE
Start Page: 403
End Page: 414
Copyright Statement: Copyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Lloyd's Register Foundation
Engineering & Physical Science Research Council (E
Imperial Innovations Ltd
IP2IPO Innovations Limited
Funder's Grant Number: ATIPO000005051
PO 20306503
PO 007864
CODSE_P76553
Conference Name: The International Conference on Information Processing in Sensor Networks (IPSN) 2022
Keywords: Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Rotation Monitoring
Orbital Angular Monitoring
Antenna
EMF
ORBITAL ANGULAR-MOMENTUM
FREQUENCY-SHIFT
VIBRATION
LIGHT
eess.SP
eess.SP
Publication Status: Published
Start Date: 2022-05-04
Finish Date: 2022-05-06
Conference Place: Milan, Italy
Online Publication Date: 2022-07-18
Appears in Collections:Computing
Faculty of Engineering