Online impedance estimation of induction motor coils using a CS-based measurement method

This paper introduces a novel measurement method utilizing the Compressed Sensing (CS) technique that enables the real-time estimation of impedance variation in an induction motor coil. Herein, a mathematical model of the proposed measurement method is described, and thereafter the motor coil impedance model and the method's numerical assessment in terms of root-mean-squared error as a main figure-of-merit for method validation are presented. The preliminary results indicate that the proposed measurement method has the potential for sensing motor coil impedance variation with good accuracy. This capability could be further used for non-contact inside motor temperature estimation or for detecting motor faults.

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Publication Details

Journal
Measurement Sensors
Published
2024-12-31
DOI
https://doi.org/10.1016/j.measen.2024.101425
Citations
1
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
0.21
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Online impedance estimation of induction motor coils using a CS-based measurement method

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Online impedance estimation of induction motor coils using a CS-based measurement method

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article en
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Abstract

This paper introduces a novel measurement method utilizing the Compressed Sensing (CS) technique that enables the real-time estimation of impedance variation in an induction motor coil. Herein, a mathematical model of the proposed measurement method is described, and thereafter the motor coil impedance model and the method's numerical assessment in terms of root-mean-squared error as a main figure-of-merit for method validation are presented. The preliminary results indicate that the proposed measurement method has the potential for sensing motor coil impedance variation with good accuracy. This capability could be further used for non-contact inside motor temperature estimation or for detecting motor faults.

Measurement SensorsVol. 38
University of Sannio (IT), Technical University of Košice (SK)
Affordable and clean energy
Openalex Percentile: Top 48%
Non-Destructive Testing Techniques
0.21
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