18 citations as recorded by crossref.

1. Recent Advances of Artificial Intelligence Methods in PMSM Condition Monitoring and Fault Diagnosis in Elevator Systems V. Vlachou et al.
2. Acoustic emission monitoring of naturally developed damage in large-scale low-speed roller bearings B. Scheeren et al.
3. Design and Implementation of a Misalignment Experimental Data Management Platform for Wind Power Equipment J. Cao et al.
4. Acoustic virtual sensors for industrial process monitoring using non-negative matrix factorization C. Luzon-Alvarez et al.
5. Review of Data Processing Methods Used in Predictive Maintenance for Next Generation Heavy Machinery I. Hassan et al.
6. Early-Stage Damage Diagnosis of Rolling Bearings Based on Acoustic Emission Signals Interpreted by Friction Behavior and Machine Learning T. Nakai et al.
7. Experimental Investigation of Crack Detection in Ring Gears of Wind Turbine Gearboxes Using Acoustic Emissions F. Leaman et al.
8. Hybrid methodology development for lubrication regimes identification based on measurements, simulation, and data clustering J. Tervo et al.
9. Variable speed induction motors’ fault detection based on transient motor current signatures analysis: A review M. Yakhni et al.
10. An In-Depth Study of Vibration Sensors for Condition Monitoring I. Hassan et al.
11. Diagnostics of hydraulic machines using AI for predictive maintenance. A. Kindl et al.
12. KFD-AEEScan: a Katz fractal dimension acoustic emission event scanner for single-sensor multi-fault diagnosis in milling machines A. Maliuk et al.
13. Wind turbine drivetrains: state-of-the-art technologies and future development trends A. Nejad et al.
14. Location- and time-resolved strain measurement in thrust roller bearings using thin-film sensors D. Konopka et al.
15. Novel Vibration Diagnosis Technologies for Lubrication Deficiency in Rolling Bearings of Induction Motors L. Gelman & R. Kerrouche
16. Vibration-Based Predictive Maintenance for Wind Turbines: A PRISMA-Guided Systematic Review on Methods, Applications, and Remaining Useful Life Prediction C. Constantino-Robles et al.
17. Stand der Technik: Anschmierungen in Radial-Zylinderrollenlagern P. Stuhler & N. Nagler
18. Research on bearing equipment fault diagnoses via SAWOA-LSTM Y. Li