Automatic Online Diagnosis Algorithm for Broken-Bar Detection on Induction Motors Based on Discrete Wavelet Transform for FPGA Implementation

Author:

Ordaz-Moreno A.,de Jesus Romero-Troncoso R.,Vite-Frias J.A.,Rivera-Gillen J.R.,Garcia-Perez A.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Cited by 121 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. A Novel Method for Rotor Fault Diagnostics in Induction Motors using Harmonic Isolation;2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED);2023-08-28

2. Framework for Reliable Fault Detection with Sensor Data;Studies in Computational Intelligence;2022-09-30

3. EPILEPTIC SEIZURE PREDICTION USING WAVELET TRANSFORM, FRACTAL DIMENSION, SUPPORT VECTOR MACHINE, AND EEG SIGNALS;Fractals;2022-07-28

4. Validation of a Mathematical Model of 3-phase Induction Motor for Stator-winding Fault Diagnosis;2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET);2022-05-20

5. An approach to detect broken rotor bars based on instantaneous frequency of the fault characteristic harmonic during the start-up transient;The International Journal of Advanced Manufacturing Technology;2022-03-30

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