In this paper, the author proposes a fault diagnosis technique for the analysis of thermal
images of commutator motors (CMs) and single-phase induction motors (SIMs). The aim of …

Machinery will fail due to complex and tough working conditions. It is necessary to apply
reliable monitoring technology to ensure their safe operation. Condition-based maintenance …

Higher order spectral analysis is used for structural damage detection based on nonlinear
vibro-acoustic modulations. A combined low-frequency vibration and high-frequency …

Bearing fatigue life is significantly influenced by bearing clearance. Vibration monitoring of
bearing clearance deviations can efficiently reveal bearing wear and give sufficient lead …

Mechanical signals are not only disturbed by Gaussian noise, but also by non-Gaussian
noise. These Gaussian noise and non-Gaussian noise have gravely impeded detecting of …

Epicyclic gearboxes are prevalent in a variety of important engineering systems such as
automotive, aerospace, wind turbines, civil equipment and industrial robots owing to the …

Accurate diagnosis of incipient faults in wind turbine (WT) assets will provide sufficient lead
time to apply an optimal maintenance for the expensive WT assets which often are located in …

With the rapid development of power electronics technology and the proposal of intelligent
ships, electric propulsion systems on ships are becoming more and more widespread. As …

The magnetic field created by technical devices is a source of information. This information
could be used in contactless diagnostics and predictive maintenance or for resolving …

This study investigates the dynamics of roller bearings by utilizing the dimension theory
technique to diagnose the bearing clearance faults of revolving machines. The generation of …