Abstract
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 conrm 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 osets, 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 aorded by internal accelerometers and demonstrates the feasibility of internal sensor topologies, which can provide improved observability of rotor vibration at externally inaccessible rotor locations.
erroneous at low rotational speeds due to accelerometer zero-g osets, 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 aorded by internal accelerometers and demonstrates the feasibility of internal sensor topologies, which can provide improved observability of rotor vibration at externally inaccessible rotor locations.
Original language | English |
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Pages (from-to) | 58-75 |
Number of pages | 18 |
Journal | Journal of Sound and Vibration |
Volume | 377 |
Early online date | 24 May 2016 |
DOIs | |
Publication status | Published - 1 Sept 2016 |
Keywords
- rotordynamics
- accelerometers
- rotor-mounted sensors
- smart machine rotor
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Patrick Keogh
- Department of Mechanical Engineering - Head of Department
- Centre for Digital, Manufacturing & Design (dMaDe)
Person: Research & Teaching, Core staff