From anomaly detection to novel fault discrimination for wind turbine gearboxes with a sparse isolation encoding forest
As vital renewable energy devices, wind turbines suffer from gearbox failures due to harsh
speed increasing operations. Therefore, gearbox fault diagnosis is crucial for wind turbine …
speed increasing operations. Therefore, gearbox fault diagnosis is crucial for wind turbine …
Diagnosis and prognosis of real world wind turbine gears
M Elforjani - Renewable Energy, 2020 - Elsevier
Today, condition monitoring (CM) is unarguably the most important field in any industrial
applications. CM of wind turbines (WT's) has in the past few years grown substantially …
applications. CM of wind turbines (WT's) has in the past few years grown substantially …
Comparison of FDA-based and PCA-based features in fault diagnosis of automobile gearboxes
MH Gharavian, FA Ganj, AR Ohadi, HH Bafroui - Neurocomputing, 2013 - Elsevier
Several advantages for machine condition monitoring and fault diagnosis, such as reducing
maintenance costs, improving productivity and increasing machine availability, have been …
maintenance costs, improving productivity and increasing machine availability, have been …
Condition monitoring of wind turbine planetary gearboxes under different operating conditions
Digitally enhanced services for wind power could reduce operations and maintenance costs
as well as the levelized cost of energy. Therefore, there is a continuous need for advanced …
as well as the levelized cost of energy. Therefore, there is a continuous need for advanced …
Machine learning for fault analysis in rotating machinery: A comprehensive review
As the concept of Industry 4.0 is introduced, artificial intelligence-based fault analysis is
attracted the corresponding community to develop effective intelligent fault diagnosis and …
attracted the corresponding community to develop effective intelligent fault diagnosis and …
Vibration analysis for fault detection of wind turbine drivetrains—a comprehensive investigation
W Teng, X Ding, S Tang, J Xu, B Shi, Y Liu - Sensors, 2021 - mdpi.com
Vibration analysis is an effective tool for the condition monitoring and fault diagnosis of wind
turbine drivetrains. It enables the defect location of mechanical subassemblies and health …
turbine drivetrains. It enables the defect location of mechanical subassemblies and health …
Deep ensemble-based classifier for transfer learning in rotating machinery fault diagnosis
Nowadays, intelligent models can correctly detect faults by analysing signals from rotating
machinery. However, most of the studies are run in controlled environments and the …
machinery. However, most of the studies are run in controlled environments and the …
A prognostic method for fault detection in wind turbine drivetrains
In this paper, a prognostic method is presented for fault detection in gears and bearings in
wind turbine drivetrains. This method is based on angular velocity measurements from the …
wind turbine drivetrains. This method is based on angular velocity measurements from the …
Contribution of angular measurements to intelligent gear faults diagnosis
S Fedala, D Rémond, R Zegadi, A Felkaoui - Journal of Intelligent …, 2018 - Springer
Currently, work on the automation of vibration diagnosis is mainly based on indicators
extracted from Time sampled Acceleration signals. There are other attractive alternatives …
extracted from Time sampled Acceleration signals. There are other attractive alternatives …
Gearbox fault diagnosis using a deep learning model with limited data sample
Massive volumes of data are needed for deep learning (DL) models to provide accurate
diagnosis results. Numerous studies of fault diagnosis systems have demonstrated the …
diagnosis results. Numerous studies of fault diagnosis systems have demonstrated the …