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Incipient Interturn Fault Detection and Severity Evaluation in Electric Drive System Using Hybrid HCNN-SVM Based Model

  • Published:2022-03 Issue:3 Volume:18 Page:1823-1832
  • ISSN:1551-3203
  • Container-title:IEEE Transactions on Industrial Informatics
  • language:
  • Short-container-title:IEEE Trans. Ind. Inf.

Author:

Husari Fatima,Seshadrinath JeevanandORCID

Funder

Science and Engineering Research Board

Department of Science and technology, Govt of India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

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1. Sequence Component Based Approach to Detect Faults in Induction Motor Stator Winding;IEEE Transactions on Industrial Electronics;2024-11

2. Incipient fault detection and isolation for dynamic processes with slow feature statistics analysis;Chemical Engineering Science;2024-10

3. Wavelet packet measurements and neural networks applied to stator short-circuit diagnosis;Transactions of the Institute of Measurement and Control;2024-08-02

4. Online Stator Interturn Fault Detection Using Hilbert Transform and Neural Network for Traction Motors of Urban Rail Vehicles;IEEE Journal of Emerging and Selected Topics in Power Electronics;2024-08

5. Optimized Deep Belief Network for Efficient Fault Detection in Induction Motor;ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal;2024-07-24
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