… a damaged WT gearbox are noisy and dominated by strong gear … and challenge on fault
diagnosis in WT gearbox. In general, … EMD suffers from mode mixing problem which causes …

… rolling bearing data set and another gear box data set acquired in … , which increases the
robustness of the model and … Herrera, “Smote-rsb*: a hybrid preprocessing approach based on …

… feature-level fusion for gearbox fault diagnosis, which can … dealing with mixed faults, gear
faults and bearing faults are … fault diagnosis method based on multisensor data fusion and …

… -sensor data fusion to the systematic review of AI techniques … Gearboxes, sheaves, and
belts are examples of rotating … As a result, the hybrid intelligent fault diagnostic technique …

… performance on the dataset with mixed faults is examined. In … faults and recognize robustness
of the proposed classifiers … information fusion for induction motor fault diagnosis,” IEEE/…

… diagnosis process. In conclusion, the combination of vibration-… data fusion analysis and
the AdaBoost classifier has proven to be a powerful and efficient approach for diagnosing faults …

… is applied to the fault diagnosis of gearbox, rotor and rolling … [26] proposed a hybrid intelligent
method for gear damage … Our aim is to provide accurate and reliable diagnostic results …

… Consequently, fault diagnosis methods based on data fusion have elicited widespread …
Robbersmyr, “Multiple classifiers and data fusion for robust diagnosis of gearbox mixed faults,” …

… accuracy of fault diagnosis from imbalanced and incomplete data, this paper proposes a fusion
… Therefore, it is necessary to solve the problem before classification model is constructed. …

… Meanwhile, fault diagnosis approaches based on information fusion at … an effective and
powerful method for precise fault diagnosis of planetary gearbox, which based on diverse multi-…