… To compensate for this deficiency, a DL model based on a stacked … , the fault diagnosis
system is developed based on time-frequency image pattern recognition. Therefore, two gearbox …

… deep random forest fusion (DRFF) technology to improve the performance of gearbox fault
diagnosis … In order to be able to display the features in the three-dimensional plane, the …

… learning and fault classification. Therefore, in this review, DL and DL-based intelligent fault
diagnosis techniques … transmission, including aircraft engines, pump, wind turbine generator …

… a fault diagnosis approach based on multi-sensor data fusion to detect planetary gearbox …
the measurements of mechanical vibrations of the plane perpendicular to the axis of rotation of …

… It is a robust feature representation technique. SDA based deep learning techniques are …
due to its significant applications in automotive, aircraft, marine, wind turbines, cement industries…

… Hence effective gearbox fault diagnosis is achieved in a combination of SVM, Wavelet lifting
and RBR. A comparative study of FD using SVM algorithm in various mechanical equipment …

… latest supersonic vector aircraft engine, massive generator set, accurate machine tool spindle,
… outcome of the IIFD-SOIR method on the gearbox dataset and a motor bearing dataset. …

… Zhao et al. proposed a fault diagnosis approach of planetary gearboxes based on …
extraction methods, feature fusion technology is also combined with deep neural network. …

… ensure the healthy operation of aeroengine and aircraft. Because 90% of … by the development
of machine learning methods. These … [36] used TCA to diagnose gearbox fault. To classify …

… plane [7]. Traditional fault diagnosis methods, such as the combination of WPT and Artificial
… In some deep learning based fault diagnosis methods, wavelet packet was employed as an …