This paper applies thermal imaging technology to gearbox fault diagnosis. The temperature
field calculation model is established to obtain the temperature field images of various faults …

Diagnosis of gearbox is crucial to prevent catastrophic failure and reduce financial losses. In
this study, we introduce a novel fault diagnosis technique using the infrared thermography …

The fault diagnosis method based on ResNet50 convolutional neural network and migration
learning is proposed as a way of improving the gearbox fault diagnosis. Firstly, exporting the …

The running state of a geared transmission system affects the stability and reliability of the
whole mechanical system. It will greatly reduce the maintenance cost of a mechanical …

The complex operating environment of gearboxes and the easy interference of early fault
feature information make fault identification difficult. This paper proposes a fault diagnosis …

Due to the complicated structure and tough working environment of planetary gearboxes,
intelligent identification of the health states based on the raw vibration signal is still a huge …

Gearbox is an important part of mechanical equipment. If a fault cannot be timely detected, it
will cause significant economic losses. In order to solve the problem of early fault diagnosis …

Infrared thermal technology plays a vital role in the health condition monitoring of gearbox.
In the traditional infrared thermal technology-based methods, Gaussian pyramid is applied …

This paper deals with gear pitting fault diagnosis problem and presents a method by
integrating convolutional neural network (CNN) and gated recurrent unit (GRU) networks …

The industrial gearboxes usually work in harsh and variable conditions, which results in
partial failure of gears or bearings. Accordingly, the continuous irregular fluctuations of …