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 …

In the present review article, the research findings in the field of investigating the vibrational
nature of the rotating machineries under the influence of multiplicative faults and their …

The purpose of this book is to give a basic understanding of rotor dynamics phenomena with
the help of simple rotor models and subsequently, the modern analysis methods for real life …

The actual breathing mechanism of the transverse breathing crack in the cracked rotor
system that appears due to the shaft weight is addressed here. As a result, the correct time …

The advanced phase of the breathing crack in the heavy duty horizontal rotor system is
expected to be dominated by the open crack state rather than the breathing state after a …

Featured Application When one is uncertain whether the potential fault is unbalancing or
shaft bow based on frequency analysis, the proposed approach is applicable to issues …

In this paper, the quantification of uncertainty effects on the variability of the nonlinear
response in rotor systems with multi-faults (such as unbalance, asymmetric shaft, bow …

Driven/driving shafts are the most important portion of rotating devices. Misdiagnosis or late
diagnosis of these components could result in severe vibrations, defects in other parts …

Rotor–stator rub and fatigue crack of the shafts are two important rotor faults. They have
detrimental effects on health and reliability of the rotating machinery. In this paper, modelling …

Fatigue damage, appearing due to developing cracks, is considered to be one of the main
faults in rotating machinery. The damage in rotating components can be catastrophic, posing …