Motor fault detection using Elman neural network with genetic algorithm-aided training-Reference-Cited by-同舟云学术

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Motor fault detection using Elman neural network with genetic algorithm-aided training

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Container-title:SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions' (Cat. No.00CH37166)
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Author:

Gao X.Z.,Ovaska S.J.,Dote Y.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/7099/19129/00884348.pdf?arnumber=884348

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. An integrated approach for prediction of radial overcut in electro discharge machining using fuzzy graph recurrent neural network;International Journal of Embedded Systems;2021

3. Efficiency of Cascaded Neural Networks in Detecting Initial Damage to Induction Motor Electric Windings;Electronics;2020-08-15

4. A Fuzzy Graph Recurrent Neural Network Approach for the Prediction of Radial Overcut in Electro Discharge Machining;Lecture Notes in Networks and Systems;2020-06-12

5. Hybrid position/virtual-force control for obstacle avoidance of wheeled robots using Elman neural network training technique;International Journal of Advanced Robotic Systems;2017-05

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