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 strong growth within the wind technology market, underpinned by policy goals around
the world, has highlighted the demand for advanced engineering analysis to improve wind …

The most common condition monitoring method applied to rotating machines is vibration
measurement, although recently it has been proposed that acoustic emission (AE) offers …

This paper presents a method for real-time online monitoring of shaft misalignment, which is
a common problem in rotating machinery, such as the drive train of wind turbines. A non …

Condition monitoring of gearboxes is mainly based on vibration analysis. Traditionally,
spectral lines related to shaft speeds and gear meshing frequency (GMF) are the key …

Temperature is a parameter increasingly monitored in wind turbine systems. This paper
details a potential temperature monitoring technique for use on shaft couplings. Such …

Misalignment is one of the most common faults in any rotating machine. It can cause
decrease in efficiency and in the long run may cause failure of machine. Most of the …

This paper sheds the light on vibration modeling and diagnosis of misalignment beyond
traditional approaches. Firstly, the paper presents a detailed finite element and dynamic …

Preceded by unbalance, misalignment is the second major mechanical fault in rotating
machine applications. In spite of using modern alignment techniques like laser alignment …

Purpose Vibration is a major issue in turbomachines which causes damage to them and
leads to reduction in life and efficiency. This paper reviews various methods to measure the …