Graph modeling of singular values for early fault detection and diagnosis of rolling element bearings

2020 ◽  
Vol 145 ◽  
pp. 106956 ◽  
Author(s):  
Xin Wen ◽  
Guoliang Lu ◽  
Jie Liu ◽  
Peng Yan
Keyword(s):  
Fault Detection ◽  
Singular Values ◽  
Fault Detection And Diagnosis ◽  
Rolling Element Bearings ◽  
Graph Modeling ◽  
Rolling Element ◽  
Detection And Diagnosis ◽  
Early Fault Detection

Bearing Signature Analysis as a Medium for Fault Detection: A Review

2007 ◽  
Vol 130 (1) ◽  
Author(s):  
M. S. Patil ◽  
Jose Mathew ◽  
P. K. RajendraKumar
Keyword(s):  
Fault Detection ◽  
Vibration Measurement ◽  
Signature Analysis ◽  
Rolling Element Bearings ◽  
Bearing Defects ◽  
Rolling Element ◽  
Vibration Signature ◽  
Recent Trends ◽  
Bearing Vibration ◽  
Detection And Diagnosis

Rolling element bearings find widespread domestic and industrial application. Defects in bearing unless detected in time may lead to malfunctioning of the machinery. Different methods are used for detection and diagnosis of the bearing defects. This paper is intended as a tutorial overview of bearing vibration signature analysis as a medium for fault detection. An explanation for the causes for the defects is discussed. Vibration measurement in both time domain and frequency domain is presented. Recent trends in research on the detection of the defects in bearings have been included.

Sign in / Sign up

Export Citation Format

Share Document