Sound based fault classify diagnosis method using artificial neural network and autoencoder processing
Author:
Affiliation:
1. National Changhua University of Education,Department of Physics,Changhua,Taiwan
2. National Yang Ming Chiao Tung University,College of Photonics,Tainan,Taiwan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10219186/10219411/10219537.pdf?arnumber=10219537
Reference7 articles.
1. Sensorless fault diagnosis of induction motors
2. Fault diagnosis of a vacuum cleaner motor by means of sound analysis
3. A fault diagnosis scheme of rolling element bearing based on near-field acoustic holography and gray level co-occurrence matrix
4. Induction motor faults diagnostic via artificial neural network (ANN)
5. Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
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