Untimely machinery breakdown will incur significant losses, especially to the manufacturing
company as it affects the production rates. During operation, machines generate vibrations …

Due to increasing demands for ensuring the safety and reliability of a system, fault detection
(FD) has received considerable attention in modern industries to monitor their machines …

Abstract Objective. Deep learning (DL)-based brain–computer interface (BCI) in motor
imagery (MI) has emerged as a powerful method for establishing direct communication …

The prognosis of bearings is vital for condition-based maintenance of rotating machinery.
This article proposes a systematic prognostic scheme for rolling element bearings. The …

Combined cycle power plants (CCPP) are among the most sophisticated, yet efficient,
systems for producing electrical energy. Hence, simulating their performance has been an …

A technique of thermographic fault diagnosis of the shaft of a BLDC (Brushless Direct
Current Electric) motor is presented in this article. The technique works for the shivering of …

The paper presents an analysis and classification method to evaluate the working condition
of angle grinders by means of infrared (IR) thermography and IR image processing. An …

Fault diagnosis of the bearing is vital for the safe and reliable operation of rotating machines
in the manufacturing industry. Convolutional neural networks (CNNs) have been popular in …

In recent years, methods for detecting motor bearing faults have attracted increasing
attention. However, it is very difficult to detect the faults from weak motor bearing signals …

Full ceramic ball bearings (FCBB) are widely applied in wide temperature ranges due to the
good thermal shock resistance, but the change of fit clearance becomes a new problem …