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Fault tree analysis improvements: A bibliometric analysis and literature review
Fault tree analysis (FTA) is one of the most popular failure analysis techniques that reveal
the potential pathways leading to systems or components failure. It has been widely …
the potential pathways leading to systems or components failure. It has been widely …
Operation and maintenance optimization of offshore wind farms based on digital twin: A review
J **a, G Zou - Ocean Engineering, 2023 - Elsevier
As one of the most promising clean energy sources, offshore wind farms (OWFs) have
developed rapidly in countries around the world. However, due to complex weather and …
developed rapidly in countries around the world. However, due to complex weather and …
[HTML][HTML] Assessment of failure rates and reliability of floating offshore wind turbines
A model is proposed to assess the failure rates of components of floating offshore wind
turbines based on the knowledge of failure data of corresponding structures of onshore wind …
turbines based on the knowledge of failure data of corresponding structures of onshore wind …
[HTML][HTML] A parallel deep neural network for intelligent fault diagnosis of drilling pumps
This paper introduces a novel parallel deep neural network for fault diagnosis of drilling
pumps. It integrates the Convolutional Block Attention Module with the AlexNet and …
pumps. It integrates the Convolutional Block Attention Module with the AlexNet and …
A deep feature learning method for remaining useful life prediction of drilling pumps
Abstract Remaining Useful Life (RUL) prediction of drilling pumps, pivotal components in
fossil energy production, is essential for efficient maintenance and safe operation of such …
fossil energy production, is essential for efficient maintenance and safe operation of such …
Reliability model and maintenance cost optimization of wind-photovoltaic hybrid power systems
Power systems are becoming the backbone for replacing fossil energy sources in powering
human life, including wind, solar, hydropower, and nuclear energy. However, a power …
human life, including wind, solar, hydropower, and nuclear energy. However, a power …
CNN–LSTM–AM: A power prediction model for offshore wind turbines
This study introduces a power forecasting model, the convolutional neural network (CNN)–
long short-term memory (LSTM)–attention mechanism (AM) algorithm (CNN–LSTM–AM) …
long short-term memory (LSTM)–attention mechanism (AM) algorithm (CNN–LSTM–AM) …
A novel order spectrum-based Vold-Kalman filter bandwidth selection scheme for fault diagnosis of gearbox in offshore wind turbines
Vold-Kalman order tracking filter is an effective technique for dealing with non-stationary
vibrations which offshore wind turbines often encounter. It has a unique capability to extract …
vibrations which offshore wind turbines often encounter. It has a unique capability to extract …
[HTML][HTML] Failure analysis of floating offshore wind turbines with correlated failures
A novel failure mode and effect analysis schedule, namely correlated-Failure Mode and
Effect Analysis (FMEA), is proposed to identify critical failures of floating offshore wind …
Effect Analysis (FMEA), is proposed to identify critical failures of floating offshore wind …
Failure rate assessment for onshore and floating offshore wind turbines
A detailed analysis is performed on a dataset of failure and maintenance records from
various onshore wind farms located in different geographical areas for the safety, risk …
various onshore wind farms located in different geographical areas for the safety, risk …