FPGA-Based Online Detection of Multiple Combined Faults in Induction Motors Through Information Entropy and Fuzzy Inference

Author:

Romero-Troncoso Rene J.,Saucedo-Gallaga Ricardo,Cabal-Yepez Eduardo,Garcia-Perez Arturo,Osornio-Rios Roque A.,Alvarez-Salas Ricardo,Miranda-Vidales Homero,Huber Nicolas

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Cited by 104 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

1. An entropy framework for randomness and fuzziness;Expert Systems with Applications;2024-06

2. Analytical Approach for Locating Induction Motor Current Harmonics in Healthy and Different Fault Conditions;Arabian Journal for Science and Engineering;2024-05-22

3. FPGA Hardware in the Loop Validation of Fuzzy MCSA current analysis-based fault diagnostic of induction motor;2023 International Conference on Electrical Engineering and Advanced Technology (ICEEAT);2023-11-05

4. Fuzzy current analysis-based fault diagnostic of induction motor using hardware co-simulation with field programmable gate array;Electrical Engineering & Electromechanics;2023-10-21

5. Hjorth Parameters for Broken Rotor Bars Failures Characterization in Induction Motors;2023 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC);2023-10-18

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