Naïve Bayes Classification Technique for Brushless DC Motor Fault Diagnosis with Discrete Wavelet Transform Feature Extraction-Reference-Cited by-同舟云学术

Naïve Bayes Classification Technique for Brushless DC Motor Fault Diagnosis with Discrete Wavelet Transform Feature Extraction

Published:2022-03-25 Issue: Volume: Page:
ISSN:
Container-title:2022 14th International Conference on Computer and Automation Engineering (ICCAE)
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Author:

Floresca Francis Jann¹,Kyle Tobias Christian¹,Ostia Conrado¹

Affiliation:

1. School of Electrical, Electronics, and Computer Engineering, Mapua University,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9762407/9762408/09762447.pdf?arnumber=9762447

Reference17 articles.

1. KNN based fault diagnosis system for induction motor

2. Bearing Fault Diagnosis Using Weighted K-Nearest Neighbor

3. Fault Detection and Classification scheme using KNN for AC/HVDC Transmission Lines

4. Epileptic seizure detection using discrete wavelet transform based support vector machine;deshmukh;Proc 2017 IEEE Int Conf Commun Signal Process ICCSP 2017,2018

5. Detection of Stator, Bearing and Rotor Faults in Induction Motors

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2. Motor Fault Diagnosis of a Brushless DC Motor Using Fast Kurtogram on Convolutional Neural Network;2023 9th International Conference on Control, Automation and Robotics (ICCAR);2023-04-21

3. Brushless DC Motor Fault Classification Using Support Vector Machine Algorithm with Discrete Wavelet Transform Feature Extraction;2023 9th International Conference on Control, Automation and Robotics (ICCAR);2023-04-21

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