Kinematic chains are essential elements configurable in different topologies according to the
requirements of industry. Their main components are the rotating machines and mechanical …

The widespread diffusion of electric vehicles poses new challenges in the field of fault
diagnostics. Past studies have been focused mainly on machines designed for industrial …

The concept of a digital twin is increasingly appearing in industrial applications, including
the field of predictive maintenance. A digital twin is a virtual representation of a physical …

Vibrational analysis plays a pivotal role in predictive maintenance and condition-monitoring,
providing the capability to identify emerging issues before they escalate into equipment …

Due to the harsh actual operating environment of the permanent magnet wind turbine, it is
easy to break down and difficult to monitor. Therefore, the electromagnetic characteristics …

With the rapid development of power electronics technology and the proposal of intelligent
ships, electric propulsion systems on ships are becoming more and more widespread. As …

The diagnosis of electrical motor for broken rotor bars faults through frequency signatures of
the stator current method has been widely explored. In fact, a high‐resolution spectrum …

The detection of electrical and mechanical faults in induction machine (IM) by analysis of
stator current methods has been widely explored. These techniques have become the …

Manufacturing companies intend to find reliability in their processes and procedures,
reasons for which faults must be predicted in order to generate actions in a timely manner so …

Predictive diagnosis of motor defects can reduce repair and downtime costs of electrical
equipment. This paper presents the results of a research on the effectiveness of the defect …