A Fault Detection Method Based on Embedded Feature Extraction and SVM Classification for UAV Motors-Reference-Cited by-同舟云学术

A Fault Detection Method Based on Embedded Feature Extraction and SVM Classification for UAV Motors

Published:2022-10 Issue: Volume:94 Page:104683
ISSN:0141-9331
Container-title:Microprocessors and Microsystems
language:en
Short-container-title:Microprocessors and Microsystems

Author:

Yaman Orhan^ORCID,Yol Ferhat,Altinors Ayhan^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference26 articles.

1. An automated faults classification method based on binary pattern and neighborhood component analysis using induction motor;Yaman;Meas. J. Int. Meas. Confed.,2021

2. A sound based method for fault detection with statistical feature extraction in UAV motors;Altinors;Appl. Acoust.,2021

3. B.E. Wanlin Zhang, A Fault Detection and Diagnosis Strategy for Permanent Magnet Brushless DC Motor, 2012. https://doi.org/10.4028/www.scientific.net/msf.360-362.433.

4. Acoustic based fault diagnosis of three-phase induction motor;Glowacz;Appl. Acoust.,2018

5. Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals;Glowacz;Meas. J. Int. Meas. Confed.,2018

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