Online SFRA for Reliability of Power Systems: Characterization of a Batch of Healthy and Damaged Induction Motors for Predictive Maintenance

Online SFRA for Reliability of Power Systems: Characterization of a Batch of Healthy and Damaged Induction Motors for Predictive Maintenance

Asynchronous motors represent a large percentage of motors used in the electrical industry. Suitable predictive maintenance techniques are strongly required when these motors are critical in their operations. Continuous non-invasive monitoring techniques can be investigated to avoid the disconnectio...

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Bibliographic Details
Main Authors:	Giovanni Bucci, Fabrizio Ciancetta, Andrea Fioravanti, Edoardo Fiorucci, Simone Mari, Andrea Silvestri
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Series:	Sensors
Subjects:	predictive maintenance induction motors industrial measurements measurement system frequency response custom instrumentation
Online Access:	https://www.mdpi.com/1424-8220/23/5/2583

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