A multi-source domain information fusion network for rotating machinery fault diagnosis under variable operating conditions
T Gao, J Yang, Q Tang - Information Fusion, 2024 - Elsevier
In practical industrial scenarios, the variations of operating conditions such as load and
rotational speed make mechanical systems subject to complex and variable environmental …
rotational speed make mechanical systems subject to complex and variable environmental …
Condition monitoring and fault detection of wind turbine driveline with the implementation of deep residual long short-term memory network
Y He, J Liu, S Wu, X Wang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In view of the wide application of wind power, it is critically essential to develop solutions to
the high fault rate and the long mean time to repair (MTTR). Multisensor fusion methods …
the high fault rate and the long mean time to repair (MTTR). Multisensor fusion methods …
A class-imbalance-aware domain adaptation framework for fault diagnosis of wind turbine drivetrains under different environmental conditions
This paper proposes a new fault diagnosis model for wind turbine drivetrains addressing
time-varying environmental conditions and the limited availability of fault-related data. Wind …
time-varying environmental conditions and the limited availability of fault-related data. Wind …
[HTML][HTML] Bearings faults and limits in wind turbine generators
RMA Velásquez - Results in Engineering, 2024 - Elsevier
The detection of sudden faults in wind turbine generator (WTG) is a complex task, especially
in bearings. Usually, the evaluation of methodologies such as vibration, ultrasound, and …
in bearings. Usually, the evaluation of methodologies such as vibration, ultrasound, and …
ST-SAM: Spatial-Temporal State Adaptation Model for Neutron Detector Fault Detection and Isolation in Nuclear Power Plants
W Lin, X Miao, J Chen, M Ye, L Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Neutron detectors in nuclear power plants (NPPs) are critical for system stability, yet their
malfunctions may lead to false alerts and misdiagnoses. Multidetectors deployed in diverse …
malfunctions may lead to false alerts and misdiagnoses. Multidetectors deployed in diverse …
Fault diagnosis-based observers using Kalman filters and Luenberger estimators: Application to the pitch system fault actuators
This paper aims to present a robust fault diagnosis structure-based observers for actuator
faults in the pitch part system of the wind turbine benchmark. In this work, two linear …
faults in the pitch part system of the wind turbine benchmark. In this work, two linear …
Anomaly Detection for Wind Turbines Using Long Short-Term Memory-Based Variational Autoencoder Wasserstein Generation Adversarial Network under Semi …
C Zhang, T Yang - Energies, 2023 - mdpi.com
Intelligent anomaly detection for wind turbines using deep-learning methods has been
extensively researched and yielded significant results. However, supervised learning …
extensively researched and yielded significant results. However, supervised learning …
A multi-head self-attention autoencoder network for fault detection of wind turbine gearboxes under random loads
X Yu, Z Zhang, B Tang, M Zhao - Measurement Science and …, 2024 - iopscience.iop.org
Wind turbine gearboxes work under random load for extended periods of time, and the fault
detection indicator constructed by the existing deep learning models fluctuate constantly due …
detection indicator constructed by the existing deep learning models fluctuate constantly due …
Research on State Prediction of Wind Turbine Gearbox Based on Monitoring Data Distribution Similarity and Feature-Based Transfer Learning
Y Zhu, C Zhu, Y Tan, J Tan, Y Zhou - ICMD: International Conference on …, 2023 - Springer
To make full use of the limited monitoring data with fault information in the case of
inconsistent distribution of the monitoring data among the wind turbines, a combined …
inconsistent distribution of the monitoring data among the wind turbines, a combined …
Optimal Contact-Impact Force Model Selection for Damage Detection in Ball Bearings
In this work, an optimal model is selected for simulation of the contact-impact phenomena in
ball bearings aiming for application in condition monitoring (CM) and damage detection. A …
ball bearings aiming for application in condition monitoring (CM) and damage detection. A …