Condition Monitoring of Rolling Element Bearing by Acoustic Analysis Using LabVIEW

Author(s):  
Anish Nadar ◽  
Rajanarasimha Sangam
Author(s):  
Sudarsan Sahoo ◽  
J. K. Das ◽  
Bapi Debnath

The defect present in the bearing of a rolling element may affect the performance of the rotating machinery and may reduce its efficiency. For this reason the condition monitoring of a rolling element bearing is very essential. So many measuring parameters are there to diagnose the fault in a rolling element bearing. Acoustic signature monitoring is one of them. Every rolling element bearing has its own acoustic signature when it is in healthy condition and when the bearing get defected then there is a change in its original acoustic signature. This change in acoustic signature can be monitored and analyzed to detect the fault present in the bearing. But the noise present in the acquired acoustic signal may affect the analysis. So the noisy acoustic signal must be filtered before the analysis. In this work the experiment is performed in two stages. In first stage the filtration of the acquired acoustic signal is done by employing the active noise cancellation (ANC) filtering techniques. In second stage the filtered signal is used for the further analysis. For the analysis initially the static analysis is done and then the frequency and the time-frequency analysis is done to diagnose the defect in the bearing. From all the three analysis the information about the defect present in the bearing is well detected.


2007 ◽  
Vol 59 (6) ◽  
pp. 297-300 ◽  
Author(s):  
Rende Liu

PurposeThis paper sets out to develop a reliable analysis method based upon a low‐cost procedure to monitor the wear condition of low‐speed and heavily loaded rolling element bearing.Design/methodology/approachSpecial solvents for grease are invented and new test methods, including spectroscopy and ferrography of used grease, are developed to monitor the wear condition of a deferred bearing of ladle turret in continuous casting.FindingsAccording to the analytical results, the service life of the ladle turret bearing in No. 1 continuous casting machine is extended to 14 years and significant expense is saved, which proved that it is feasible for grease analysis to be used in the condition monitoring of low speed and heavily loaded rolling element bearing, especially those deferrable bearings.Research limitations/implicationsThe fault mechanism of the huge bearing is not estimated.Practical implicationsOne useful analysis method to monitor the wear condition of low speed and heavily loaded rolling element bearing is reported, and it can be used in other industrial fields.Originality/valueThis paper provides a way of studying condition monitoring of low‐speed and heavily loaded rolling element bearings.


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