Fractional Calculus-Based Processing for Feature Extraction in Harmonic-Polluted Fault Monitoring Systems

Fractional Calculus-Based Processing for Feature Extraction in Harmonic-Polluted Fault Monitoring Systems

Fault monitoring systems in Induction Motors (IMs) are in high demand since many production environments require yielding detection tools independent of their power supply. When IMs are inverter-fed, they become more complicated to diagnose via spectral techniques because those are susceptible to pr...

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Bibliographic Details
Main Authors: Nathaly Murcia-Sepúlveda, Jorge M. Cruz-Duarte, Ignacio Martin-Diaz, Arturo Garcia-Perez, J. Juan Rosales-García, Juan Gabriel Avina-Cervantes, Carlos Rodrigo Correa-Cely
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Energies
Subjects:
motor fault detection
fractional calculus
time-frequency
harmonic-based feature extraction
Online Access:https://www.mdpi.com/1996-1073/12/19/3736

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https://www.mdpi.com/1996-1073/12/19/3736

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