Recent substantial advancements in computational techniques, particularly in artificial
intelligence (AI) and machine learning (ML), have raised the demand for smart self-powered …

A review of the fault diagnostic techniques based on machine is presented in this paper. As
the world is moving towards industry 4.0 standards, the problems of limited computational …

Electrical motors are used in industry and in home appliances. They are important for
people. Electrical motors convert electric energy into mechanical work. They generate …

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 …

Due to their efficiency and control capabilities, induction motors fed with inverters have
become prevalent in various industrial applications. However, ensuring the reliable …

Since electrical machines are the largest consumer of electricity worldwide, their fault
diagnostic at the incipient stage and condition monitoring is essential for better reliability …

Most faults can stop a motor, and time is lost in fixing the damaged motor. This is a reason
why it is essential to develop fault-detection methods. This paper describes the acoustic …

Nowadays, most domestic and industrial fields are moving toward Industry 4.0 standards
and integration with information technology. To decrease shutdown costs and minimize …

This paper presents a novel stator inter-turn fault diagnosis method for Line Start Permanent
Magnet Synchronous Motors (LSPMSMs) using the frequency analysis of acoustic signals …

Against the backdrop of high-level industrial process monitoring, the enhancement of sensor-
based solutions to increase the efficiency of predictive maintenance plans and anticipate …