The occurrence of many gearbox faults simultaneously and possibilities of their identification on
the basis of vibration symptoms is not a topic of research work in the literature. The authors are
concentrated in maximum of their research work on identification of a single type of fault on the basis
of a single symptom. This paper presents the research work on selection of diagnostic features during
degradation. Simultaneously it presents the problem of choosing the signal receiving points. In the
result of collected signal at many points we obtain a multidimensional matrix from which a point is to
be selected for which we get the best distribution of symptoms for the particular faults. In these
problems we try to the answer on the following questions: which symptoms give the better results for
classification of different faults, for which signal receiving point good/bad technical state classes
seperability is the highest, and is it possible to reduce symptoms matrix?
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