A Review of Fault Detection, Diagnosis, and Prognosis of Rolling Element Bearing Using Advanced Approaches and Vibration Signature Analysis

2020 ◽  
pp. 207-219
Author(s):  
Pavan Agrawal ◽  
Pratesh Jayaswal
Keyword(s):  
Fault Detection ◽  
Rolling Element Bearing ◽  
Signature Analysis ◽  
Diagnosis And Prognosis ◽  
Rolling Element ◽  
Vibration Signature ◽  
Element Bearing

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.

scholarly journals Incipient Fault Detection of Rolling Element Bearing Running at Slow Speed

2015 ◽  
Vol 10 (5) ◽  
pp. 360-365
Author(s):  
Chiranjan Manda ◽  
Ravi Ranjan Prasad ◽  
Partha Pratim Sengupta
Keyword(s):  
Fault Detection ◽  
Rolling Element Bearing ◽  
Slow Speed ◽  
Rolling Element ◽  
Element Bearing ◽  
Incipient Fault ◽  
Incipient Fault Detection

scholarly journals Experimental Study of the Effect of Misalignment on Rolling Element Bearing

2021 ◽  
Vol 6 (7) ◽  
pp. 87-90
Author(s):  
Mohsin H. Albdery ◽  
Istvan Szabo
Keyword(s):  
Experimental Study ◽  
Thermal Imaging ◽  
Early Stage ◽  
Rolling Element Bearing ◽  
Bearing Failure ◽  
Rolling Element ◽  
Imaging Camera ◽  
Vibration Signature ◽  
Element Bearing ◽  
Machine Health

Any single machine rotary component in the process could result in downtime costs. It is necessary to monitor the overall machine health while it is in use. Bearing failure is one of the primary causes of machine breakdown in industry at high and low speeds. A vibration signature evaluation has historically determined misalignments in shafting systems. These misalignments are also responsible for the bearing increase in temperature. The purpose of this work is to undertake a comparative study to obtain the reliability of the effect of the amount of misalignment on bearing by using thermography measurement. An experimental study was performed in this paper to indicate the existence of machine misalignment at an early stage by measuring the bearing temperature using a thermal imaging camera. The effects of load, velocity, and misalignment on the bearings and their temperature increase have been investigated. The test bench's rolling-element bearing is an NTN UCP213-208 pillow block bearing. It has been observed that by tracking the change of temperature in bearings could lead to misalignment detection and the effect of the amount of misalignment on it.

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