Uninterrupted and trouble-free operation of induction motors (IMs) is the compulsion of the
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …

Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating
machinery (RM) has a vital role in the modern industrial world. However, the remaining …

Automatic metallic surface defect inspection has received increased attention in relation to
the quality control of industrial products. Metallic defect detection is usually performed …

The paper presents description of bearing, stator and rotor fault diagnostic methods of a
single-phase induction motor. The presented methods use acoustic signals. Five states of …

Artificial intelligence (AI)-based rotor fault diagnosis (RFD) poses a variety of challenges to
the prognostics and health management (PHM) of the Industry 4.0 revolution. Rotor faults …

The need to manufacture more competitive equipment, together with the emergence of the
digital technologies from the so-called Industry 4.0, have changed many paradigms of the …

In recent years, unmanned aerial vehicles (UAVs) have been used in several fields
including, for example, archaeology, cargo transport, conservation, healthcare, filmmaking …

Bearing fault diagnosis at early stage is very significant to ensure seamless operation of
induction motors in industrial environment. The identification and classification of faults …

Mechanical fault diagnosis is one of the important technologies in the fourth industrial
revolution. In recent years, mechanical fault diagnosis based on audio signal analysis …

High-resolution time-frequency representation (TFR) method is effective for signal analysis
and feature detection. However, for variable speed bearing vibration signal, conventional …