ANN-Based Pattern Recognition for Induction Motor Broken Rotor Bar Monitoring under Supply Frequency Regulation

• Published in: Machines (Basel) Vol. 9; no. 5; p. 87
• Main Authors: Sinha, Ashish Kumar, Hati, Ananda Shankar, Benbouzid, Mohamed, Chakrabarti, Prasun
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2021
• Subjects: Algorithms; Artificial neural networks; broken rotor bar; Coal mining; condition monitoring; Discrete Wavelet Transform; discrete wavelet transforms; Feature extraction; frequency regulation; induction motor; Induction motors; Mines; multi-resolution analysis; Neural networks; Pattern recognition; Rotors; Spectrum analysis; Squirrel cage motors; Stators; Underground mines; Wavelet transforms

The requisite of direct-on-line (DOL) starting for various applications in underground mines subjects the rotor bars of heavy-duty squirrel cage induction motors (SCIMs) to severe stresses, resulting in sustained fault in the rotor bars, unlike the applications where mostly reduced voltage starting...