A nonintrusive magnetically self-powered vibration sensor for automated condition monitoring of electromechanical machines

This paper presents a nonintrusive and electromagnetically self-powered embedded system with vibration sensor for condition monitoring of electromechanical machinery. This system can be installed inside the terminal block of a motor or generator and supports wireless communication for transferring d...

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Bibliographic Details
Main Authors: Zachar, Lt. Ryan, Cotta, Lt. William, Schantz, Christopher, Moon, Jinyeong, Lindahl, Peter, Donnal, John Sebastian, Leeb, Steven B
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2017
Online Access:http://hdl.handle.net/1721.1/111679
https://orcid.org/0000-0003-1331-348X
https://orcid.org/0000-0001-5364-3868
https://orcid.org/0000-0003-2597-5309
https://orcid.org/0000-0002-3856-6005
Description
Summary:This paper presents a nonintrusive and electromagnetically self-powered embedded system with vibration sensor for condition monitoring of electromechanical machinery. This system can be installed inside the terminal block of a motor or generator and supports wireless communication for transferring data to a mobile device or computer for subsequent performance analysis. As an initial application, the sensor package is configured for automated condition monitoring of resiliently mounted machines. Upon detecting a spin-down event, e.g. a motor turnoff, the system collects and transmits vibration and residual backemf data as the rotor decreases in rotational speed. This data is then processed to generate an empirical vibrational transfer function (eVTF) rich in condition information for detecting and differentiating machinery and vibrational mount pathologies. The utility of this system is demonstrated via lab-based tests of a resiliently mounted 1.1 kW three-phase induction motor, with results showcasing the usefulness of the embedded system for condition monitoring.