Using SCADA data for wind turbine condition monitoring: A systematic literature review

J Maldonado-Correa, S Martín-Martínez, E Artigao… - Energies, 2020 - mdpi.com
Operation and maintenance (O&M) activities represent a significant share of the total
expenditure of a wind farm. Of these expenses, costs associated with unexpected failures …

Reinforcement learning with Gaussian processes for condition-based maintenance

S Peng - Computers & Industrial Engineering, 2021 - Elsevier
Condition-based maintenance strategies are effective in enhancing reliability and safety for
complex engineering systems that exhibit degradation phenomena with uncertainty. Such …

Discussion of wind turbine performance based on SCADA data and multiple test case analysis

D Astolfi, R Pandit, L Terzi, A Lombardi - Energies, 2022 - mdpi.com
This work is devoted to the formulation of innovative SCADA-based methods for wind turbine
performance analysis and interpretation. The work is organized as an academia–industry …

Wind turbine operation curves modelling techniques

D Astolfi - Electronics, 2021 - mdpi.com
Wind turbines are machines operating in non-stationary conditions and the power of a wind
turbine depends non-trivially on environmental conditions and working parameters. For …

Estimation of the performance aging of the vestas v52 wind turbine through comparative test case analysis

D Astolfi, R Byrne, F Castellani - Energies, 2021 - mdpi.com
It is a common sense expectation that the efficiency of wind turbines should decline with
age, similarly to what happens with most technical systems. Due to the complexity of this …

Analysis of wind turbine aging through operation curves

D Astolfi, R Byrne, F Castellani - Energies, 2020 - mdpi.com
The worsening with age of technical systems performance is a matter of fact which is
particularly timely to analyze for horizontal-axis wind turbines because they constitute a …

Perspectives on SCADA data analysis methods for multivariate wind turbine power curve modeling

D Astolfi - Machines, 2021 - mdpi.com
Wind turbines are rotating machines which are subjected to non-stationary conditions and
their power depends non-trivially on ambient conditions and working parameters. Therefore …

[HTML][HTML] The Power Curve Working Group's assessment of wind turbine power performance prediction methods

JCY Lee, P Stuart, A Clifton, MJ Fields… - Wind Energy …, 2020 - wes.copernicus.org
Wind turbine power production deviates from the reference power curve in real-world
atmospheric conditions. Correctly predicting turbine power performance requires models to …

Multi-running state health assessment of wind turbines drive system based on BiLSTM and GMM

T Liang, Z Meng, G Xie, S Fan - IEEE Access, 2020 - ieeexplore.ieee.org
With the continuous elevation of demand for large-scale wind turbines and operation &
maintenance cost an increasing interest has been rapidly generated on CM (Condition …

Fault Detection for Turbine Engine Disk Based on Adaptive Weighted One‐Class Support Vector Machine

J Chen, X Xu, X Zhang - Journal of Electrical and Computer …, 2020 - Wiley Online Library
Fault detection for turbine engine components is becoming increasingly important for the
efficient running of commercial aircraft. Recently, the support vector machine (SVM) with …