With the rapid development of industry, fault diagnosis plays a more and more important role
in maintaining the health of equipment and ensuring the safe operation of equipment. Due to …

Nowadays, quantum-enhanced methods have been widely studied to solve machine
learning related problems. This article presents the application of a Variational Quantum …

Artificial intelligence and industrial internet of things (IIoT) have been rejuvenating the fault
diagnosis systems in Industry 4.0 for avoiding major financial losses caused by faults in …

In this paper, an attempt is made to overview different vibration analysis techniques and
predictive mainte-nance for industrial machines. The techniques considered in this paper …

Owing to the 4.0 industrial revolution condition monitoring maintenance is widely accepted
as a useful approach to avoiding plant disturbances and shutdown. Recently, Motor Current …

Vibration-based condition monitoring plays an important role in maintaining reliable and
effective heavy machinery in various sectors. Heavy machinery involves major investments …

The popularity of high-efficiency permanent magnet synchronous motors in drive systems
has continued to grow in recent years. Therefore, also the detection of their faults is …

Machine fault diagnosis for expensive high-capacity machines may be challenging as it is
infeasible to induce faults and collect data. In this work, we propose a scalable fault …

The rotary vector (RV) reducer, as a highly precise transmission mechanism, can lead to a
series of consequential hazards when experiencing local faults. Conducting corresponding …

Continuous condition monitoring of railway track and infrastructure is necessary to ensure
safe and comfortable operation of the railway vehicle. Automated visual inspection of the …