Vibration sensing in smart machine rotors using internal MEMS accelerometers

© 2016 Elsevier Ltd This paper presents a novel topology for enhanced vibration sensing in which wireless MEMS accelerometers embedded within a hollow rotor measure vibration in a synchronously rotating frame of reference. Theoretical relations between rotor-embedded accelerometer signals and the vi...

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Main Authors: Samuel Jiménez, Matthew O.T. Cole, Patrick S. Keogh
Format: Journal
Published: 2018
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Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84973597771&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/55735
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-557352018-09-05T03:13:34Z Vibration sensing in smart machine rotors using internal MEMS accelerometers Samuel Jiménez Matthew O.T. Cole Patrick S. Keogh Engineering Physics and Astronomy © 2016 Elsevier Ltd This paper presents a novel topology for enhanced vibration sensing in which wireless MEMS accelerometers embedded within a hollow rotor measure vibration in a synchronously rotating frame of reference. Theoretical relations between rotor-embedded accelerometer signals and the vibration of the rotor in an inertial reference frame are derived. It is thereby shown that functionality as a virtual stator-mounted displacement transducer can be achieved through appropriate signal processing. Experimental tests on a prototype rotor confirm that both magnitude and phase information of synchronous vibration can be measured directly without additional stator-mounted key-phasor sensors. Displacement amplitudes calculated from accelerometer signals will become erroneous at low rotational speeds due to accelerometer zero-g offsets, hence a corrective procedure is introduced. Impact tests are also undertaken to examine the ability of the internal accelerometers to measure transient vibration. A further capability is demonstrated, whereby the accelerometer signals are used to measure rotational speed of the rotor by analysing the signal component due to gravity. The study highlights the extended functionality afforded by internal accelerometers and demonstrates the feasibility of internal sensor topologies, which can provide improved observability of rotor vibration at externally inaccessible rotor locations. 2018-09-05T03:00:28Z 2018-09-05T03:00:28Z 2016-09-01 Journal 10958568 0022460X 2-s2.0-84973597771 10.1016/j.jsv.2016.05.014 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84973597771&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55735
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Engineering
Physics and Astronomy
spellingShingle Engineering
Physics and Astronomy
Samuel Jiménez
Matthew O.T. Cole
Patrick S. Keogh
Vibration sensing in smart machine rotors using internal MEMS accelerometers
description © 2016 Elsevier Ltd This paper presents a novel topology for enhanced vibration sensing in which wireless MEMS accelerometers embedded within a hollow rotor measure vibration in a synchronously rotating frame of reference. Theoretical relations between rotor-embedded accelerometer signals and the vibration of the rotor in an inertial reference frame are derived. It is thereby shown that functionality as a virtual stator-mounted displacement transducer can be achieved through appropriate signal processing. Experimental tests on a prototype rotor confirm that both magnitude and phase information of synchronous vibration can be measured directly without additional stator-mounted key-phasor sensors. Displacement amplitudes calculated from accelerometer signals will become erroneous at low rotational speeds due to accelerometer zero-g offsets, hence a corrective procedure is introduced. Impact tests are also undertaken to examine the ability of the internal accelerometers to measure transient vibration. A further capability is demonstrated, whereby the accelerometer signals are used to measure rotational speed of the rotor by analysing the signal component due to gravity. The study highlights the extended functionality afforded by internal accelerometers and demonstrates the feasibility of internal sensor topologies, which can provide improved observability of rotor vibration at externally inaccessible rotor locations.
format Journal
author Samuel Jiménez
Matthew O.T. Cole
Patrick S. Keogh
author_facet Samuel Jiménez
Matthew O.T. Cole
Patrick S. Keogh
author_sort Samuel Jiménez
title Vibration sensing in smart machine rotors using internal MEMS accelerometers
title_short Vibration sensing in smart machine rotors using internal MEMS accelerometers
title_full Vibration sensing in smart machine rotors using internal MEMS accelerometers
title_fullStr Vibration sensing in smart machine rotors using internal MEMS accelerometers
title_full_unstemmed Vibration sensing in smart machine rotors using internal MEMS accelerometers
title_sort vibration sensing in smart machine rotors using internal mems accelerometers
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84973597771&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/55735
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