The problem of the robust definition of the acceptance regions in conditionmonitoring of the vibrations of rotatingmachinery is related to the more wide field of the analysis of bivariate data. Traditional parametric techniques and innovative nonparametric methods based on the statistical concept of the data depth are presented and critically examined in the paper. The performances with respect to the robustness in the estimation of the acceptance regions are analysed by means of experimental cases of real rotatingmachinery of a power plant.

Bivariate Analysis of Complex Vibration Data: an Application to Condition Monitoring of Rotating Machinery

PENNACCHI, PAOLO EMILIO LINO MARIA;VANIA, ANDREA TOMMASO;BACHSCHMID, NICOLO'
2006

Abstract

The problem of the robust definition of the acceptance regions in conditionmonitoring of the vibrations of rotatingmachinery is related to the more wide field of the analysis of bivariate data. Traditional parametric techniques and innovative nonparametric methods based on the statistical concept of the data depth are presented and critically examined in the paper. The performances with respect to the robustness in the estimation of the acceptance regions are analysed by means of experimental cases of real rotatingmachinery of a power plant.
Bivariate analysis of data, Rotor dynamics, Condition monitoring, Acceptance regions, Data depth, Robust estimation
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/552659
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