1. “A Comparative Analysis of Signal Decomposition Techniques for Structural Health Monitoring on an Experimental Benchmark”
by Marco Civera and Cecilia Surace
Sensors 2021, 21(5), 1825; https://doi.org/10.3390/s21051825
Available online: https://www.mdpi.com/1424-8220/21/5/1825

2. “Deep Learning Approaches on Defect Detection in High Resolution Aerial Images of Insulators”
by Qiaodi Wen, Ziqi Luo, Ruitao Chen, Yifan Yang and Guofa Li
Sensors 2021, 21(4), 1033; https://doi.org/10.3390/s21041033
Available online: https://www.mdpi.com/1424-8220/21/4/1033

3. “Wind Turbine Main Bearing Fault Prognosis Based Solely on SCADA Data”
by Ángel Encalada-Dávila, Bryan Puruncajas, Christian Tutivén and Yolanda Vidal
Sensors 2021, 21(6), 2228; https://doi.org/10.3390/s21062228
Available online: https://www.mdpi.com/1424-8220/21/6/2228

4. “Bearing Fault Feature Extraction and Fault Diagnosis Method Based on Feature Fusion”
by Huibin Zhu, Zhangming He, Juhui Wei, Jiongqi Wang and Haiyin Zhou
Sensors 2021, 21(7), 2524; https://doi.org/10.3390/s21072524
Available online: https://www.mdpi.com/1424-8220/21/7/2524

5. “Data-Driven Fault Diagnosis for Electric Drives: A Review”
by David Gonzalez-Jimenez, Jon del-Olmo, Javier Poza, Fernando Garramiola and Patxi Madina
Sensors 2021, 21(12), 4024; https://doi.org/10.3390/s21124024
Available online: https://www.mdpi.com/1424-8220/21/12/4024

6. “Fault Diagnosis and Fault Frequency Determination of Permanent Magnet Synchronous Motor Based on Deep Learning”
by Chiao-Sheng Wang, I-Hsi Kao and Jau-Woei Perng
Sensors 2021, 21(11), 3608; https://doi.org/10.3390/s21113608
Available online: https://www.mdpi.com/1424-8220/21/11/3608

7. “Sensor and Component Fault Detection and Diagnosis for Hydraulic Machinery Integrating LSTM Autoencoder Detector and Diagnostic Classifiers”
by Ahlam Mallak and Madjid Fathi
Sensors 2021, 21(2), 433; https://doi.org/10.3390/s21020433
Available online: https://www.mdpi.com/1424-8220/21/2/433

8. “A Two-Stage, Intelligent Bearing-Fault-Diagnosis Method Using Order-Tracking and a One-Dimensional Convolutional Neural Network with Variable Speeds”
by Mengyu Ji, Gaoliang Peng, Jun He, Shaohui Liu, Zhao Chen and Sijue Li
Sensors 2021, 21(3), 675; https://doi.org/10.3390/s21030675
Available online: https://www.mdpi.com/1424-8220/21/3/675

9. “Bearing Fault Diagnosis Based on Energy Spectrum Statistics and Modified Mayfly Optimization Algorithm”
by Yuhu Liu, Yi Chai, Bowen Liu and Yiming Wang
Sensors 2021, 21(6), 2245; https://doi.org/10.3390/s21062245
Available online: https://www.mdpi.com/1424-8220/21/6/2245

10. “Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning”
by Md Junayed Hasan, M. M. Manjurul Islam and Jong-Myon Kim
Sensors 2021, 22(1), 56; https://doi.org/10.3390/s22010056
Available online: https://www.mdpi.com/1424-8220/22/1/56