Feature-level SMOTE: Augmenting fault samples in learnable feature space for imbalanced fault diagnosis of gas turbines
A challenge in gas turbine fault diagnosis is that labeled fault samples are relatively rare and
much fewer than normal samples. Conventional data augmentation techniques generate …
much fewer than normal samples. Conventional data augmentation techniques generate …
An improved lightGBM algorithm for online fault detection of wind turbine gearboxes
It is widely accepted that conventional boost algorithms are of low efficiency and accuracy in
dealing with big data collected from wind turbine operations. To address this issue, this …
dealing with big data collected from wind turbine operations. To address this issue, this …
Performance-analysis-based gas turbine diagnostics: A review
YG Li - Proceedings of the Institution of Mechanical …, 2002 - journals.sagepub.com
Gas turbine diagnostics has a history almost as long as gas turbine development itself. Early
engine fault diagnosis was carried out based on manufacturer information supplied in a …
engine fault diagnosis was carried out based on manufacturer information supplied in a …
Vibration Fault diagnosis in wind turbines based on automated feature learning
A Meyer - Energies, 2022 - mdpi.com
A growing number of wind turbines are equipped with vibration measurement systems to
enable the close monitoring and early detection of developing fault conditions. The vibration …
enable the close monitoring and early detection of developing fault conditions. The vibration …
Multi-fault detection and classification of wind turbines using stacking classifier
P Waqas Khan, YC Byun - Sensors, 2022 - mdpi.com
Wind turbines are widely used worldwide to generate clean, renewable energy. The biggest
issue with a wind turbine is reducing failures and downtime, which lowers costs associated …
issue with a wind turbine is reducing failures and downtime, which lowers costs associated …
Robust discriminant latent variable manifold learning for rotating machinery fault diagnosis
C Yang, S Ma, Q Han - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Fault diagnosis is an important technology for performing intelligent manufacturing. To
simultaneously maintain high manufacturing quality and low failure rate for manufacturing …
simultaneously maintain high manufacturing quality and low failure rate for manufacturing …
Condition monitoring systems: a systematic literature review on machine-learning methods improving offshore-wind turbine operational management
IM Black, M Richmond, A Kolios - International Journal of …, 2021 - Taylor & Francis
Information is key. Offshore wind farms are installed with supervisory control and data
acquisition systems (SCADA) gathering valuable information. Determining the precise …
acquisition systems (SCADA) gathering valuable information. Determining the precise …