Acoustic Emissions and Monitoring Bearing Health

Condition Monitoring and Management from Acoustic Emissions

This paper analyses acoustic emission energy signals acquired under mixed load conditions with one induced fault. With Mean field independent components analysis is applied to an observation matrix build from successive acoustic emission energy revolution signals. The paper presents novel results that provide remarkable automatic grouping of the observed signals equivalent to the grouping obtai...

Acoustic Emission Application for Monitoring Bearing Defects

Automatic fault monitoring using acoustic emissions

Techniques for automatic monitoring of faults in machinery are being considered as a means to safely simplify or dispense with expensive periodic fault inspection procedures. This paper presents results from an ongoing investigation into the feasibility of using Acoustic Emissions (AEs) for automatic detection of microcrack formation/growth in machine components.

Intelligent Health Evaluation Method of Slewing Bearing Adopting Multiple Types of Signals from Monitoring System

Slewing bearing, which is widely applied in tank, excavator and wind turbine, is a critical component of rotational machine. Standard procedure for bearing life calculation and condition assessment was established in general rolling bearings, nevertheless, relatively less literatures, in regard to the health condition assessment of slewing bearing, were published in past. Real time health condi...

Health Monitoring for Composite under Low-Cycle Cyclic Loading, Considering Effects of Acoustic Emission Sensor Type

Composites have been widely used in the aerospace industry. Due to the requirement of a high safety for such structures, they could be considered for health monitoring. The acoustic emission approach is one of most effective methods for identifying damages in composites. In this article, standard specimens were made from carbon fibers and the epoxy resin, with the [03/902/...