1. “Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers”
by Rafia Nishat Toma et al.
Sensors 2020, 20(7), 1884; https://doi.org/10.3390/s20071884
Available online: https://www.mdpi.com/1424-8220/20/7/1884

2. “A Novel Deep Learning Model for the Detection and Identification of Rolling Element-Bearing Faults”
by Alex Shenfield et al.
Sensors 2020, 20(18), 5112; https://doi.org/10.3390/s20185112
Available online: https://www.mdpi.com/1424-8220/20/18/5112

3. ‘’Fault Diagnosis of Rotary Machines Using Deep Convolutional Neural Network with Wide Three Axis Vibration Signal Input”
by Davor Kolar et al.
Sensors 2020, 20(14), 4017; https://doi.org/10.3390/s20144017
Available online: https://www.mdpi.com/1424-8220/20/14/4017

4. “Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems”
by Gerhard P. Hancke et al.
Sensors 2020, 20(23), 6886; https://doi.org/10.3390/s20236886
Available online: https://www.mdpi.com/1424-8220/20/23/6886

5. “Process Parameters for FFF 3D-Printed Conductors for Applications in Sensors”
by Tibor Barši Palmić et al.
Sensors 2020, 20(16), 4542; https://doi.org/10.3390/s20164542
Available online: https://www.mdpi.com/1424-8220/20/16/4542

6. “Image-Processing-Based Low-Cost Fault Detection Solution for End-of-Line ECUs in Automotive Manufacturing”
by Adrian Korodi et al.
Sensors 2020, 20(12), 3520; https://doi.org/10.3390/s20123520
Available online: https://www.mdpi.com/1424-8220/20/12/3520

7. “Novel Higher-Order Spectral Cross-Correlation Technologies for Vibration Sensor-Based Diagnosis of Gearboxes”
by Len Gelman et al.
Sensors 2020, 20(18), 5131; https://doi.org/10.3390/s20185131
Available online: https://www.mdpi.com/1424-8220/20/18/5131

8. “Development of Compound Fault Diagnosis System for Gearbox Based on Convolutional Neural Network”
by Ming-Chang Lin et al.
Sensors 2020, 20(21), 6169; https://doi.org/10.3390/s20216169
Available online: https://www.mdpi.com/1424-8220/20/21/6169

9. “Railway Point-Operating Machine Fault Detection Using Unlabeled Signaling Sensor Data”
by Pritesh Mistry et al.
Sensors 2020, 20(9), 2692; https://doi.org/10.3390/s20092692
Available online: https://www.mdpi.com/1424-8220/20/9/2692

10. “Fault Diagnosis in the Slip–Frequency Plane of Induction Machines Working in Time-Varying Conditions”
by Ruben Puche-Panadero et al.
Sensors 2020, 20(21), 3398; https://doi.org/10.3390/s20123398
Available online: https://www.mdpi.com/1424-8220/20/12/3398