Fractal dimension and fuzzy logic systems for broken rotor bar detection in induction motors at start-up and steady-state regimes-Reference-Cited by-同舟云学术

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Fractal dimension and fuzzy logic systems for broken rotor bar detection in induction motors at start-up and steady-state regimes

Published:2017-06-02 Issue:7 Volume:28 Page:075001
ISSN:0957-0233
Container-title:Measurement Science and Technology
language:
Short-container-title:Meas. Sci. Technol.

Author:

Amezquita-Sanchez Juan P,Valtierra-Rodriguez Martin,Perez-Ramirez Carlos A,Camarena-Martinez David,Garcia-Perez Arturo,Romero-Troncoso Rene J

Publisher

IOP Publishing

Subject

Applied Mathematics,Instrumentation,Engineering (miscellaneous)

Link

http://iopscience.iop.org/article/10.1088/1361-6501/aa6adf/pdf

Reference48 articles.

1. Automatic bearing fault diagnosis using particle swarm clustering and Hidden Markov Model

2. Advances in Diagnostic Techniques for Induction Machines

3. A Survey of Condition Monitoring and Protection Methods for Medium-Voltage Induction Motors

4. Condition monitoring and diagnosis of rotor faults in induction machines: State of art and future perspectives

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1. FPGA real-time implementation of welch transform for diagnosis of broken rotor bars in induction motors;Electrical Engineering;2024-06-20

2. Methodology for the Detection of Contamination and Gradual Outer Race Faults in Bearings by Fusion of Statistical Vibration–Current Features and SVM Classifier;Applied Sciences;2024-06-19

3. Rotor speed estimation for half-broken bar detection in induction motors using Kalman filtering;Measurement Science and Technology;2024-04-16

4. Motores de indução trifásicos para operações industriais;Brazilian Journal of Production Engineering;2023-12-04

5. Analysis of a Three-Phase Induction Motor with a Double–Triple-Layer Stator Winding Configuration Operating with Broken Rotor Bar Faults;Machines;2023-11-14

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