A comprehensive review on signal-based and model-based condition monitoring of wind turbines: Fault diagnosis and lifetime prognosis
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 …
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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 …
simultaneously in hybrid systems, this paper proposes an integrated system-level prognosis …