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 …

With the huge success of applying deep learning (DL) methodologies to image recognition
and natural language processing in recent years, researchers are now keen to use them in …

Transmissions are core components of automobiles in adjusting the speed. The time-varying
operation conditions, particularly the frequent gear shifting, present significant challenges for …

Purpose The purpose of this study is to develop and test a new deep learning model to
predict aircraft fuel consumption. For this purpose, real data obtained from different landings …

A hydraulic piston pump is an essential component of a hydraulic transmission system and
is extensively used in contemporary industrial settings. Therefore, fault diagnosis of piston …

Rotating machine faults are unavoidable; thus, early diagnosis is essential to avoid further
damage to the machine or other machine attached to it. Various signal analysis based …

The traditional bearing fault diagnosis methods have complex operation processes and poor
generalization ability, while the diagnosis accuracy of the existing intelligent diagnosis …

In this paper, in order to solve the problem that it is difficult to carry out accurate fault
diagnosis for gearbox under noise environment, complete ensemble imperial mode …

Personalized interactive image recommendation has several issues, such as being slow or
having poor recommendation quality. Therefore, we propose an image personalized …

Gears are critical power transmission elements used in various industries. However, varying
working speeds and sudden load changes may cause root cracks, pitting, or missing tooth …