|Author||Gelle, G. ♦ Colas, M. ♦ Servière, C.|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Data processing & computer science|
|Subject Keyword||Machine Signal ♦ First Method ♦ Mechanical System Signal Processing ♦ Mechanical Testing Bench ♦ Frequential Approach ♦ Great Interest ♦ Bs Problem ♦ Different Method ♦ White Signal ♦ Possible Approach ♦ Frequential Domain Approach ♦ Noisy Environment ♦ Bs Method ♦ Sensor Signal ♦ Pre-processing Step ♦ Vibratory Information ♦ Diagnosis Purpose ♦ Machine Fault Detection ♦ Real Signal ♦ Single Rotating Machine ♦ Experimental Context|
|Abstract||There is a great interest to apply BSS methods in mechanical system signal processing for monitoring or diagnosis purpose. Actually, we show that BSS allows to recover the vibratory information issued from a single rotating machine working in a noisy environment by freeing the sensor signal from the contribution of other working machines. In that way, BSS can be used as a pre-processing step to rotating machine fault detection and diagnosis. In this paper, we compare two possible approaches to solve BSS problem of rotating machine signals, ie. temporal or frequential approach. The first method, initially developed to temporally white signals is used in an experimental context and we show that the results are comparable to frequential domain approach specially developed for rotating machine signals. These two approaches are tested on real signals arisen from a mechanical testing bench, and the implementation of different methods as well as their performances are discussed. 1.|
|Educational Role||Student ♦ Teacher|
|Age Range||above 22 year|
|Education Level||UG and PG ♦ Career/Technical Study|
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