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 …

Nowadays, induction motor (IM) is extensively used in industry, including mechanical and
electrical applications. However, three main types of IM faults have been discussed in the …

With the rapid development of artificial intelligence and industrial Internet of Things (IIoT)
technologies, intelligent predictive maintenance (IPdM) has received considerable attention …

Increasing demand for higher safety of motors can be noticed in recent years. Develo** of
new fault detection techniques is related with higher safety of motors. This paper presents …

An incipient fault refers to the first change point when a system starts to deteriorate. Early
detections of incipient faults are crucial to the safety, reliability, and effective predictive …

The ability to exploit data for obtaining useful and actionable information and for providing
insights is an essential element for continuous process improvements. Recognizing the …

The detection of faulty machinery and its automated diagnosis is an industrial priority
because efficient fault diagnosis implies efficient management of the maintenance times …

With the rapid development of urban rail transit, the safety of subway sliding plug doors has
become a great concern. To improve the operational reliability of the sliding plug door, we …

Abstract Induction Motors (IMs) have multiple advantages, as they are robust and easy to
maintain. A small fault in a single rotor bar could cause the break of this bar, subsequently …

The Linear Induction Motors (LIMs) are a novel structure of industrial motors, which have
appeared in recent years. There are various models of optimal LIMs that help better …