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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Khazaee, Majid
Aalborg University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (7/7 displayed)
- 2022Online Condition Monitoring of Rotating Machines by Self-Powered Piezoelectric Transducer from Real-Time Experimental Investigationscitations
- 2021The investigation of viscous and structural damping for piezoelectric energy harvesters using only time-domain voltage measurementscitations
- 2020A comprehensive electromechanically coupled model for non-uniform piezoelectric energy harvesting composite laminatescitations
- 2020A broadband macro-fiber-composite piezoelectric energy harvester for higher energy conversion from practical wideband vibrationscitations
- 2019On the effect of driving amplitude, frequency and frequency-amplitude interaction on piezoelectric generated power for MFC unimorph
- 2019An Experimental Study on Macro Piezoceramic Fiber Composites for Energy Harvestingcitations
- 2018Experimental investigation of delamination effects on modal damping of a CFRP laminate, using a statistical rationalization approachcitations
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article
Online Condition Monitoring of Rotating Machines by Self-Powered Piezoelectric Transducer from Real-Time Experimental Investigations
Abstract
<p>This paper investigates self-powering online condition monitoring for rotating machines by the piezoelectric transducer as an energy harvester and sensor. The method is devised for real-time working motors and relies on self-powered wireless data transfer where the data comes from the piezoelectric transducer’s output. Energy harvesting by Piezoceramic is studied under real-time motor excitations, followed by power optimization schemes. The maximum power and root mean square power generation from the motor excitation are 13.43 mW/g<sup>2</sup> and 5.9 mW/g<sup>2</sup>, which can be enough for providing autonomous wireless data transfer. The piezoelectric transducer sensitivity to the fault is experimentally investigated, showing the considerable fault sensitivity of piezoelectric transducer output to the fault. For instance, the piezoelectric transducer output under a shaftmisalignment fault is more than 200% higher than the healthy working conditions. This outcome indicates that the monitoring of rotating machines can be achieved by using a self-powered system of the piezoelectric harvesters. Finally, a discussion on the feasible self-powered online condition monitoring is presented.</p>