Neural Networks Detect Inter-Turn Short Circuit Faults Using Inverter Switching Statistics for a Closed-Loop Controlled Motor Drive

• Published in: IEEE transactions on energy conversion Vol. 38; no. 4; pp. 2387 - 2395
• Main Authors: Oner, Mustafa Umit, Sahin, Ilker, Keysan, Ozan
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial neural networks; Closed loops; Condition monitoring; Confidence intervals; Controllers; Datasets; Fault detection; Fault diagnosis; induction motor; Induction motors; Inverters; Machine learning; model predictive control; motor drives; multi-layer perceptron; Multilayer perceptrons; Multilayers; Neural networks; Predictive control; Recurrent neural networks; Short circuits; Switching

Early detection of an inter-turn short circuit fault (ISCF) can reduce repair costs and downtime of an electrical machine. In an induction machine (IM) driven by an inverter with a model predictive control (MPC) algorithm, the controller outputs are influenced by a fault due to the fault-controller...