1. Stray Flux Analysis for the Detection and Severity Categorization of Rotor Failures in Induction Machines Driven by Soft-Starters
- Author
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Jose A. Antonino-Daviu, Angela Navarro-Navarro, Vicente Biot-Monterde, Hubert Razik, Department of Electronic Engineering [Universitat Politecnica de Valencia], Universitat Politècnica de València (UPV), Shanghai Maritime University, Ampère, Département Automatique pour l'Ingénierie des Systèmes (AIS), Ampère (AMPERE), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École Centrale de Lyon (ECL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
- Subjects
Technology ,Control and Optimization ,failure diagnosis ,Computer science ,Energy Engineering and Power Technology ,02 engineering and technology ,Fault (power engineering) ,01 natural sciences ,Automotive engineering ,law.invention ,[SPI]Engineering Sciences [physics] ,law ,soft-starters ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,induction machines ,Electrical and Electronic Engineering ,signal processing ,Engineering (miscellaneous) ,Reliability (statistics) ,010302 applied physics ,stray flux ,Renewable Energy, Sustainability and the Environment ,Rotor (electric) ,020208 electrical & electronic engineering ,Condition monitoring ,Magnetic flux ,Harmonic ,Motor soft starter ,Induction motor ,Energy (miscellaneous) - Abstract
International audience; The condition monitoring of induction motors (IM), is an important concern for industry due to the widespread use of these machines. Magnetic Flux Analysis, has been proven to be a reliable method of diagnosing these motors. Among the IM types, squirrel-cage motors (SCIM) are one of the most commonly used. In many industrial applications, the IM are driven by different types of starters, quite often by soft-starters. Despite rotor damages are more prone to occur in line-started motors, these kind of failures have been also reported in those ones driven by soft-starters. Related to this, the use of these type of starters may introduce some harmonic components, that could veil the magnetic flux signature of the different rotor faults. So, the aim of this study is to confirm if the Stray Flux Analysis technique maintains its reliability in these cases. Thus, this article presents the results of soft-started induction motors start-up tests, both in healthy and faulty motors. The fault components are detected by analyzing the stray flux during the starting and the study is complemented by analyzing the stray flux during the steady-state. In addition to the failure patterns, numerical indicators have been found so the identification of the failures is not only qualitative, but also quantitative. The results confirm the potential of the technique for detecting electromechanical failures in soft-started SCIMs.
- Published
- 2021
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