Rolling bearing fault detection is critical for improving production efficiency and lowering
accident rates in complicated mechanical systems, as well as huge monitoring data, posing …

Electrical machines are prone to faults and failures and demand incessant monitoring for
their confined and reliable operations. A failure in electrical machines may cause …

Maintaining electrical machines in good working order and increasing their life expectancy
is one of the main challenges. Precocious and accurate detection of faults is crucial to this …

In recent years, the internet of things (IoT) represents the main core of Industry 4.0 for cyber-
physic systems (CPS) in order to improve the industrial environment. Accordingly, the …

Induction motors are important equipment in modern industry. However, the occurrence of
fatigue failure following an extended period of operation invariably results in a catastrophic …

Condition monitoring is used to track the unavoidable phases of rolling element bearings in
an induction motor (IM) to ensure reliable operation in domestic and industrial machinery …

Motor Current Signature Analysis (MCSA) is a popular method for the detection of faults in
electric motor drives, particularly in Induction Machines (IMs). For Bearing Defects (BDs) …

In the machine learning and data science pipelines, feature extraction is considered the
most crucial component according to researchers, where generating a discriminative feature …

The intrusion recognition along the railway is still a challenging problem in railway safety
monitoring based on the phase-sensitive optical-time-domain reflectometer (Φ-OTDR) …

Background Pelton wheel works on Newton's law which converts the kinetic energy of fluid
into mechanical energy. Bearing, nozzle, servomotor and buckets are the main components …