TIME OR FREQUENCY DOMAIN APPROACH ?
G. Gelle 1 , M. Colas 1 and C. Servière 2
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 preprocessing 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.