Jozef Kromka , Antonia Juskova , Ondrej Kovac , Jan Saliga , Pasquale Daponte , Luca De Vito , Francesco Picariello , Sergio Rapuano , Ioan Tudosa
{"title":"Online impedance estimation of induction motor coils using a CS-based measurement method","authors":"Jozef Kromka , Antonia Juskova , Ondrej Kovac , Jan Saliga , Pasquale Daponte , Luca De Vito , Francesco Picariello , Sergio Rapuano , Ioan Tudosa","doi":"10.1016/j.measen.2024.101425","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"38 ","pages":"Article 101425"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement Sensors","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S266591742400401X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
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.