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 …

Faults such as misalignment, rotor cracks and rotor to stator rub can exist collectively in rotor
bearing systems. It is an important task for rotor dynamic personnel to monitor and detect …

Diagnosis and condition monitoring in rotating machinery has been a subject of intense
research for the last century. Recent developments indicate the drive towards integration of …

Model based methods for fault identification in rotating systems are gaining importance for
the last three decades due to their ability to identify both location and severity of the fault …

Adopted conventional practice uses a number of vibration sensors at a bearing pedestal of a
rotating machine for the vibration based condition monitoring. The number of bearings in a …

The paper describes the identification and optimization of unbalance parameters in rotor-
bearing systems. Two methods are proposed for the identification of the unbalance …

Over the past four decades, the technology in vibration instrumentation and measurements,
signal processing, and analytical simulation using finite element (FE) methods has …

Rotating machinery is an essential and crucial component of numerous mechanical systems
in modern industries, transport vehicles, and in several other applications. Excessive …

Vibration-based condition monitoring (VCM) requires vibration measurement on each
bearing pedestal using a number of vibration transducers and then signals processing for all …

Unbalance is the most common fault of rotating machines and efforts devoted to developing
balancing techniques are the goal of several researchers around the world. The most …