55 citations as recorded by crossref.

1. Review of Tribological Failure Analysis and Lubrication Technology Research of Wind Power Bearings H. Peng et al. 10.3390/polym14153041
2. An Ensemble Learning Solution for Predictive Maintenance of Wind Turbines Main Bearing M. Beretta et al. 10.3390/s21041512
3. Fault-Tolerant Control of a Wind Turbine Generator Based on Fuzzy Logic and Using Ensemble Learning J. Cusidó et al. 10.3390/en14165167
4. Yaw misalignment in powertrain degradation modeling for wind farm control in curtailed conditions F. Khazaeli Moghadam et al. 10.3389/fenrg.2023.1272967
5. Comparative study of the service life of a central core and a helical strand constituting the same rope Y. Bassir et al. 10.1016/j.engstruct.2021.113148
6. Constructing fast and representative analytical models of wind turbine main bearings J. Stirling et al. 10.5194/wes-6-15-2021
7. Numerical modelling of a 1.5 MW tidal turbine in realistic coupled wave–current sea states for the assessment of turbine hub-depth impacts on mechanical loads C. Guy et al. 10.1016/j.oceaneng.2023.116577
8. Review of Research on Condition Monitoring for Improved O&M of Offshore Wind Turbine Drivetrains J. Helsen 10.1007/s40857-021-00237-2
9. A survey of modeling for prognosis and health management of industrial equipment Y. Yucesan et al. 10.1016/j.aei.2021.101404
10. Wind turbine main-bearing lubrication – Part 1: An introductory review of elastohydrodynamic lubrication theory E. Hart et al. 10.5194/wes-7-1021-2022
11. Optimized Hybrid CNN-LSTM Based Islanding Detection of Solar-Wind Power System B. Vadlamudi & A. T 10.1080/15325008.2023.2220333
12. An Overview on Fault Diagnosis, Prognosis and Resilient Control for Wind Turbine Systems Z. Gao & X. Liu 10.3390/pr9020300
13. A Normal Behavior-Based Condition Monitoring Method for Wind Turbine Main Bearing Using Dual Attention Mechanism and Bi-LSTM X. Xiao et al. 10.3390/en15228462
14. Power train degradation modelling for multi-objective active power control of wind farms F. Moghadam et al. 10.1007/s10010-023-00617-2
15. Data driven case study of a wind turbine main-bearing failure E. Mello et al. 10.1088/1742-6596/2018/1/012011
16. Remaining Useful Life Estimation Framework for the Main Bearing of Wind Turbines Operating in Real Time J. Vieira et al. 10.3390/en17061430
17. Operation and maintenance cost comparison between 15 MW direct-drive and medium-speed offshore wind turbines O. Donnelly et al. 10.5194/wes-9-1345-2024
18. From academic to industrial research: A comparative review of advances in rolling element bearings for wind turbine main shaft S. Gbashi et al. 10.1016/j.engfailanal.2024.108510
19. Fatigue life analysis of double-row tapered roller bearing in a modern wind turbine under oscillating external load and speed J. Zheng et al. 10.1177/0954406220911966
20. On the definition and effect of optimum gear microgeometry modifications for the gearbox of an offshore 10‐MW wind turbine B. Blanco et al. 10.1002/we.2825
21. A simplified spherical roller bearing model and its application in the wind turbine main bearing system finite element modeling X. Gao & Z. Zhang 10.1016/j.triboint.2024.109678
22. Wind turbine drivetrains: state-of-the-art technologies and future development trends A. Nejad et al. 10.5194/wes-7-387-2022
23. Recent technology and challenges of wind energy generation: A review S. Roga et al. 10.1016/j.seta.2022.102239
24. Developing a systematic approach to the analysis of time‐varying main bearing loads for wind turbines E. Hart 10.1002/we.2549
25. Fatigue prediction of wind turbine main bearing based on field measurement and three-dimensional elastic drivetrain model T. Ishihara et al. 10.1016/j.engfailanal.2024.108985
26. Wind Turbine Main Bearing Fault Prognosis Based Solely on SCADA Data Á. Encalada-Dávila et al. 10.3390/s21062228
27. An Integrated Finite Element and adams Modeling Approach for Analyzing Rotor-Bearing Housing Systems A. Shafiee et al. 10.1115/1.4066205
28. Dynamic investigation of 650 W roof-top horizontal wind turbine rotor system supported by radial permanent magnet bearings G. Chalageri et al. 10.1080/23311916.2023.2288436
29. Crowning Method on Bearing Supporting Large Wind Turbine Spindle Considering the Flexibility of Structure of Shaft System X. Liu et al. 10.3390/machines11010028
30. Improved Ensemble Learning for Wind Turbine Main Bearing Fault Diagnosis M. Beretta et al. 10.3390/app11167523
31. Wind energy system fault classification and detection using deep convolutional neural network and particle swarm optimization‐extreme gradient boosting C. Lee & E. Maceren 10.1049/esi2.12144
32. Identification of electro-mechanical interactions in wind turbines F. Lüdecke et al. 10.5194/wes-9-1527-2024
33. Dynamic modelling of slip in a wind turbine spherical roller main bearing E. de Mello et al. 10.1007/s10010-023-00652-z
34. Speed-Dependent Eigenmodes for Efficient Simulation of Transverse Rotor Vibration J. Kluger et al. 10.3390/vibration5040043
35. Anomaly-based fault detection in wind turbine main bearings L. Campoverde-Vilela et al. 10.5194/wes-8-557-2023
36. Effect of Sensor Faults on the Stresses Caused by Wind Turbine Blades D. Biazar 10.1155/2024/7392391
37. Experimental and simulation-based analysis of asymmetrical spherical roller bearings as main bearings for wind turbines A. Loriemi et al. 10.1007/s10010-021-00462-1
38. A novel generalized Vold-Kalman filtering for wind turbine fault diagnosis D. Liu et al. 10.1016/j.oceaneng.2024.118317
39. Analysis of the Influence of Calculation Parameters on the Design of the Gearbox of a High-Power Wind Turbine F. Rubio et al. 10.3390/math11194137
40. Estimating model inadequacy in ordinary differential equations with physics-informed neural networks F. Viana et al. 10.1016/j.compstruc.2020.106458
41. Scaling Challenges for Conical Plain Bearings as Wind Turbine Main Bearings J. Euler et al. 10.3390/wind3040027
42. Wind Turbine Main Bearing Failure Prediction using a Hybrid Neural Network K. Bermúdez et al. 10.1088/1742-6596/2265/3/032090
43. Impacts of wind field characteristics and non-steady deterministic wind events on time-varying main-bearing loads E. Hart et al. 10.5194/wes-7-1209-2022
44. FEM and ANN approaches to wind turbine gearbox monitoring and diagnosis: a mini review O. Owolabi et al. 10.1007/s40860-022-00183-4
45. Integrating Learning-Driven Model Behavior and Data Representation for Enhanced Remaining Useful Life Prediction in Rotating Machinery T. Berghout et al. 10.3390/machines12100729
46. Condition Assessment and Analysis of Bearing of Doubly Fed Wind Turbines Using Machine Learning Technique A. Mahar et al. 10.3390/en16052367
47. Life Cycle Assessment of Various PMSG-Based Drivetrain Concepts for 15 MW Offshore Wind Turbines Applications F. Moghadam & N. Desch 10.3390/en16031499
48. Remaining Useful Life Prediction of Wind Turbine Main-Bearing Based on LSTM Optimized Network L. Li & Q. Jian 10.1109/JSEN.2024.3402660
49. Investigation of main bearing operating conditions in a three-Point mount wind turbine drivetrain Y. Guo et al. 10.1007/s10010-021-00477-8
50. Condition Monitoring of Wind Turbine Main Bearing Based on Multivariate Time Series Forecasting X. Xiao et al. 10.3390/en15051951
51. A review of wind turbine drivetrain loads and load effects for fixed and floating wind turbines W. Remigius & A. Natarajan 10.1002/wene.417
52. Power Density Analysis of Wind Turbine Main Bearing Units by Holistic Optimization of Material, Manufacturing and Design of the Main Shaft C. Hollas et al. 10.1088/1742-6596/2767/8/082003
53. Operational Expenditure Modelling of the X-Rotor Offshore Wind turbine concept: Sensitivity of Key Modelling Assumptions F. Anderson et al. 10.1088/1742-6596/2626/1/012024
54. Wind turbine main-bearing lubrication – Part 2: Simulation-based results for a double-row spherical roller main bearing in a 1.5 MW wind turbine E. Hart et al. 10.5194/wes-7-1533-2022
55. Loading on a wind turbine high-speed shaft gearbox bearing: Ultrasonic field measurements and predictions from a multi-body simulation B. Clarke et al. 10.1016/j.triboint.2023.108319