Rolling bearing operation is affected by friction, wear and lubrication mechanisms, fluid
dynamics and lubricant rheology, material properties, and contact mechanics. Changes in …

Rolling element bearings are one of the most precarious components and play an important
role in the effective operation of rotating machinery. Bearings are one of the foremost …

This paper presents a new method for bearing fault diagnosis using the fusion of two primary
sensors: an accelerometer and a load cell. A novel condition-based monitoring (CBM) …

Rotating machinery breakdowns are most commonly caused by failures in bearing
subsystems. Consequently, condition monitoring of such subsystems could increase …

This paper presents a new signal processing algorithm, termed multi-scale enveloping
spectrogram (MuSEnS), for vibration signal analysis in the condition monitoring and health …

Fault detection of rotating machinery by the complex and non-stationary vibration signals
with noise is very difficult, especially at the early stages. Also, many failure mechanisms and …

This study outlines the experimental investigation methods of condition monitoring to predict
bearing failures using the experimental vibration signatures. The purpose of condition …

A new condition monitoring technique is under development which is based on electrostatic
charge. This was originally employed for the detection of debris in the gas path of jet …

A frictionless force transmission between the mechanical components of high production
volume systems was accomplished by Rolling Element Bearings, which leads to being an …

This paper investigates the effect of localized faults on the chaotic vibration of rolling
element bearings. The presence of chaotic behavior is demonstrated using experimental …