A comprehensive review on signal-based and model-based condition monitoring of wind turbines: Fault diagnosis and lifetime prognosis

H Badihi, Y Zhang, B Jiang, P Pillay… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …

Critical wind turbine components prognostics: A comprehensive review

M Rezamand, M Kordestani… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
As wind energy is becoming a significant utility source, minimizing the operation and
maintenance (O&M) expenses has raised a crucial issue to make wind energy competitive to …

[HTML][HTML] A multi-objective maintenance strategy optimization framework for offshore wind farms considering uncertainty

M Li, X Jiang, J Carroll, RR Negenborn - Applied Energy, 2022 - Elsevier
While offshore wind energy is showing enormous potential, effective approaches to enhance
its economics are being sought at the same time. The design of maintenance strategy is a …

RUL prediction of wind turbine gearbox bearings based on self-calibration temporal convolutional network

K He, Z Su, X Tian, H Yu, M Luo - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The prediction of the remaining useful life (RUL) of wind turbine gearbox bearings is critical
to avoid catastrophic accidents and minimize downtime. Temporal convolutional network …

Degradation state partition and compound fault diagnosis of rolling bearing based on personalized multilabel learning

X Ma, Y Hu, M Wang, F Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The prognostic and health management (PHM) of rolling bearings has been a popular
research area. Since bearing fault is inevitable during degradation, how to improve the PHM …

Res-HSA: Residual hybrid network with self-attention mechanism for RUL prediction of rotating machinery

J Zhu, Q Jiang, Y Shen, F Xu, Q Zhu - Engineering Applications of Artificial …, 2023 - Elsevier
Remaining useful life (RUL) prediction is of great significance for improving maintenance
efficiency and ensuring the reliability of rotating machinery. In recent years, there are a large …

ResDenIncepNet-CBAM with principal component analysis for wind turbine blade cracking fault prediction with only short time scale SCADA data

Q Lu, W Ye, L Yin - Measurement, 2023 - Elsevier
With the spread of supervisory control and data acquisition (SCADA) systems in wind farms,
a large amount of acquired data can be utilized to predict whether a turbine blade will have …

Remaining useful life prediction via a hybrid DBN-KF-based method: a case of subsea Christmas tree valves

X Shao, B Cai, Y Liu, J Zhang, Z Sui, Q Feng - Reliability Engineering & …, 2023 - Elsevier
Remaining useful life (RUL) is the critical goal of fault prediction, which provides theoretical
support for subsequent maintenance decisions of a system. The state measurement of …

Fault prognosis of HVAC air handling unit and its components using hidden-semi Markov model and statistical process control

Y Yan, J Cai, T Li, W Zhang, L Sun - Energy and Buildings, 2021 - Elsevier
Air handling units are key sub-systems of heating, ventilation and air conditioning systems,
which are used to condition air to satisfy human comfort requirements. Fault prognosis …

Integrated system-level prognosis for hybrid systems subjected to multiple intermittent faults

C Xiao, P Zheng - Reliability Engineering & System Safety, 2023 - Elsevier
Considering the condition that multiple intermittent faults occur sequentially or
simultaneously in hybrid systems, this paper proposes an integrated system-level prognosis …