Artificial neural network and discrete wavelet transform for inter-turn short circuit and broken rotor bars faults diagnosis under various operating conditions

• Datum: 2024
• Hauptverfasser: Rouaibia, R., Djeghader, Y., Moussaoui, L.
• Format: Artikel
• Sprache: English
• Veröffentlicht: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2024
• Schlagworte: diagnosis; short circuit; broken bars; induction motor; discrete wavelet transform; artificial neural network; indirect field oriented control
• Online Zugang: http://eie.khpi.edu.ua/article/view/302819
• Назва журналу: Electrical Engineering & Electromechanics

Introduction. This work presents a methodology for detecting inter-turn short circuit (ITSC) and broken rotor bars (BRB) fault in variable speed induction machine controlled by field oriented control. If any of these faults are not detected at an early stage, it may cause an unexpected shutdown of t...