Abstract

In this paper, some nonlinear diagnostic methods for large rotating machinery are introduced and evaluated from the practitioners' points of view, i.e. their sensitivity to nonlinear phenomena, their applicability in machinery diagnostic practice, their effectiveness in computer execution and finally, their acceptability in the enterprises. The evaluated methods are pseudo-phase diagrams or limit cycle detection, singular spectrum analysis (SSA), the Wigner distribution and the Kullback index of the complexity based on information theory. Examples show the pseudo-phase diagrams are the most convenient for on-line diagnostics. It can be directly applied in the productional practice, while all the other methods can be used as supplementary diagnostic measures.

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