Online Condition Monitoring of Rotating Machines by Self-Powered Piezoelectric Transducer from Real-Time Experimental Investigations

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...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2022-04, Vol.22 (9), p.3395
Main Authors: Khazaee, Majid, Rosendahl, Lasse Aistrup, Rezania, Alireza
Format: Article
Language:English
Subjects:
Alternative energy
bearing
Circuit components
Data transfer (computers)
Energy harvesting
Energy resources
Excitation
Fault diagnosis
Maximum power
Methods
Microelectromechanical systems
Misalignment
motor
Observatories
piezoelectric
Piezoelectric transducers
Real time
Sensitivity
Sensors
shaft-misalignment
Vibration
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Summary: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 and 5.9 mW/g , 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 shaft-misalignment 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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s22093395