A two-stage diagnosis framework for wind turbine gearbox condition monitoring
Advances in high performance sensing technologies enable the development of wind
turbine condition monitoring system to diagnose and predict the system-wide effects of …
turbine condition monitoring system to diagnose and predict the system-wide effects of …
Multi-stage feature selection by using genetic algorithms for fault diagnosis in gearboxes based on vibration signal
There are growing demands for condition-based monitoring of gearboxes, and techniques to
improve the reliability, effectiveness and accuracy for fault diagnosis are considered …
improve the reliability, effectiveness and accuracy for fault diagnosis are considered …
Wind turbines fault diagnosis using ensemble classifiers
Fault diagnosis in machines that work under a wide range of speeds and loads is currently
an active area of research. Wind turbines are one of the most recent examples of these …
an active area of research. Wind turbines are one of the most recent examples of these …
[HTML][HTML] Total process of fault diagnosis for wind turbine gearbox, from the perspective of combination with feature extraction and machine learning: A review
X Xu, X Huang, H Bian, J Wu, C Liang, F Cong - Energy and AI, 2023 - Elsevier
With the increasing of the installed capacity of wind power, the condition monitoring and
maintains technique is becoming more important. Wind Turbines (WT) gearbox is one of the …
maintains technique is becoming more important. Wind Turbines (WT) gearbox is one of the …
Integrated fault detection framework for classifying rotating machine faults using frequency domain data fusion and artificial neural networks
The availability of complex rotating machines is vital for the prevention of catastrophic
failures in a significant number of industrial operations. Reliability engineering theories …
failures in a significant number of industrial operations. Reliability engineering theories …
Diagnostic and severity analysis of combined failures composed by imbalance and misalignment in rotating machines
DHC de Sá Só Martins, DP Viana, AA de Lima… - … International Journal of …, 2021 - Springer
Failure detection from mechanical vibration analysis is crucial in industry machinery, with
early discovery allowing for preventive action to be performed. This paper introduces a …
early discovery allowing for preventive action to be performed. This paper introduces a …
A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions
Gearboxes are crucial devices in rotating power transmission systems with applications in a
variety of industries. Gearbox faults can cause catastrophic physical consequences, long …
variety of industries. Gearbox faults can cause catastrophic physical consequences, long …
Fault diagnosis of planetary gear carrier packs: A class imbalance and multiclass classification problem
Fault diagnosis plays a key role in monitoring manufactured products for the purpose of
quality control. Among the several fault diagnosis approaches, knowledge-based fault …
quality control. Among the several fault diagnosis approaches, knowledge-based fault …
A machine learning approach for gearbox system fault diagnosis
This study proposes a fully automated gearbox fault diagnosis approach that does not
require knowledge about the specific gearbox construction and its load. The proposed …
require knowledge about the specific gearbox construction and its load. The proposed …
Wind turbine fault detection using highly imbalanced real SCADA data
Wind power is cleaner and less expensive compared to other alternative sources, and it has
therefore become one of the most important energy sources worldwide. However …
therefore become one of the most important energy sources worldwide. However …