Effectiveness of MED for Fault Diagnosis in Roller Bearings
Pennacchi, P., Ricci, Roberto, Chatterton, S., & Borghesani, P. (2011) Effectiveness of MED for Fault Diagnosis in Roller Bearings. In Náprstek, Jiří, Horáček, Jaromír, Okrouhlík, Miloslav, Marvalová, Bohdana, Verhulst, Ferdinand, & Sawicki, Jerzy T. (Eds.) Vibration Problems ICOVP 2011. Springer Netherlands, pp. 637-642.
Diagnostics of rolling element bearings is usually performed by means of vibration signals measured by accelerometers placed in the proximity of the bearing under investigation. The aim is to monitor the integrity of the bearing components, in order to avoid catastrophic failures, or to implement condition based maintenance strategies. In particular, the trend in this field is to combine in a single algorithm different signal-enhancement and signal-analysis techniques. Among the first ones, Minimum Entropy Deconvolution (MED) has been pointed out as a key tool able to highlight the effect of a possible damage in one of the bearing components within the vibration signal. This paper presents the application of this technique to signals collected on a simple test-rig, able to test damaged industrial roller bearings in different working conditions. The effectiveness of the technique has been tested, comparing the results of one undamaged bearing with three bearings artificially damaged in different locations, namely on the inner race, outer race and rollers. Since MED performances are dependent on the filter length, the most suitable value of this parameter is defined on the basis of both the application and measured signals. This represents an original contribution of the paper.
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|Item Type:||Book Chapter|
|Additional Information:||Springer Proceedings in Physics : The 10th International Conference on Vibration Problems|
|Keywords:||Minimum entropy deconvolution, Bearing diagnostics|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Dynamics Vibration and Vibration Control (091304)|
|Divisions:||Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Deposited On:||21 Jan 2014 23:02|
|Last Modified:||24 Oct 2015 16:44|
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