Bearing is one of the most crucial parts in induction motor (IM) as a result there is a constant
call for effective diagnosis of bearing faults for reliable operation. Infrared thermography …

Condition monitoring is a significant requirement for ensuring safe and reliable working of
machining processes and rotary components. Recent developments in digital signal …

Bearing fault diagnosis is vital for ensuring reliability and safety of high-speed trains and
wind turbines. Therefore, a minimum unscented Kalman filter-aided deep belief network is …

Non-contact sensing technology plays an important role in the health monitoring of the
gearbox. However, a single non-contact measurement is challenging to achieve the …

Bearing fault diagnosis is important during the operation of mechanical equipment.
Traditional deep-learning-based methods afford excellent diagnostic results if the training …

The application of deep learning-based rolling bearing fault diagnosis methods in high
reliability scenarios is limited due to low transparency. In addition, the scaling up of the deep …

In the majority of machines, bearings are among the most crucial components. Bearings are
so important that they have been the subject of intensive research and ongoing …

Bearings are considered as indispensable and critical components of mechanical
equipment, which support the basic forces and dynamic loads. Across different condition …

The massive environmental noise interference and insufficient effective sample degradation
data of the intelligent fault diagnosis performance methods pose an extremely concerning …

Online defect detection in small industrial parts is of paramount importance for building
closed loop intelligent manufacturing systems. However, high-efficiency and high-precision …