Detection of Stator and Rotor Asymmetries Faults in Wound Rotor Induction Machines: Modeling, Test and Real-Time Implementation

Autor: Shahin Hedayati Kia
Přispěvatelé: Modélisation, Information et Systèmes - UR UPJV 4290 (MIS), Université de Picardie Jules Verne (UPJV)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Emerging Electric Machines-Advances, Perspectives and Applications
Emerging Electric Machines-Advances, Perspectives and Applications, 2021, ⟨10.5772/intechopen.95236⟩
DOI: 10.5772/intechopen.95236⟩
Popis: This chapter deals with detection of stator and rotor asymmetries faults in wound rotor induction machines using rotor and stator currents signatures analysis. This is proposed as the experimental part of fault diagnosis in electrical machines course for master’s degree students in electrical engineering at University of Picardie “Jules Verne”. The aim is to demonstrate the main steps of real-time condition monitoring development for wound rotor induction machines. In this regard, the related parameters of classical model of wound rotor induction machine under study are initially estimated. Then, the latter model is validated through experiments in both healthy and faulty conditions at different levels of the load. Finally, an algorithm is implemented in a real-time data acquisition system for online detection of stator and rotor asymmetries faults. An experimental test bench based on a three-phase 90 W wound rotor induction machine and a real-time platform for hardware-in-the-loop test are utilized for validation of the proposed condition monitoring techniques.
Databáze: OpenAIRE