Frequency-Domain Data Augmentation of Vibration Data for Fault Diagnosis using Deep Neural Networks
Author:
Affiliation:
1. POSTECH,Department of Electrical Engineering,Pohang,Korea,37673
Funder
Samsung
Ministry of SMEs and Startups
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10003266/10003667/10003718.pdf?arnumber=10003718
Reference11 articles.
1. Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
2. Robust Fault Diagnosis Observer Design for Uncertain Switched Systems
3. An Explainable Convolutional Neural Network for Fault Diagnosis in Linear Motion Guide
4. Deep Convolutional Neural Network Architectures for Tonal Frequency Identification in a Lofargram
5. Sensor Fault Diagnosis and Unknown Disturbances Estimation of High Switching Frequency Single-phase PWM Rectifier
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