https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2021.747622/full
Frontiers | Intelligent Fault Diagnosis Method of Wind Turbines Planetary Gearboxes Based on a...
Due to the powerful capability of feature extraction, convolutional neural network (CNN) is increasingly applied to the fault diagnosis of key components of ...
intelligent fault diagnosis
https://www.preprints.org/manuscript/201812.0265
Intelligent Fault Diagnosis Techniques Applied to an Offshore Wind Turbine System **[v1] |...
The fault diagnosis of wind turbine systems represent a challenging issue, especially for offshore installations, thus justifying the research topics developed...
intelligent fault diagnosisoffshore wind turbine
https://www.mdpi.com/1424-8220/23/1/211
Intelligent Fault Diagnosis of Industrial Bearings Using Transfer Learning and CNNs Pre-Trained for...
The training of Artificial Intelligence algorithms for machine diagnosis often requires a huge amount of data, which is scarcely available in industry. This...
intelligent fault diagnosis
https://www.atlantis-press.com/proceedings/icemi-16/25859337
A novel hybrid intelligent fault diagnosis method based on improved RBF neural network | Atlantis...
The radial basis function neural network (RBFNN) is a great potential artificial intelligence technology and can effectively realize the fault diagnosis for...
https://www.mdpi.com/1424-8220/22/10/3647
Multi-Sensor Fusion by CWT-PARAFAC-IPSO-SVM for Intelligent Mechanical Fault Diagnosis
A new method of multi-sensor signal analysis for fault diagnosis of centrifugal pump based on parallel factor analysis (PARAFAC) and support vector machine...
https://www.inderscience.com/info/inarticle.php?artid=135741
Article: A fault diagnosis method of intelligent electronic equipment based on dynamic fusion...
Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science,...