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Machine Vibration Monitoring by Blind Source Separation and Change Detection

Domenii publicaţii > Stiinte ingineresti + Tipuri publicaţii > Articol în revistã ştiinţificã

Autori: Th. D. Popescu

Editorial: M. Novak, Academy of Sciences of the Czech Republic , Neural Network World, 9, p.263-277, 2009.


The paper presents a new approach for machine vibration analysis and health monitoring combining blind source separation (BSS) and change detection in source signals. So, the problem is translated from the space of the measurements to the space of independent sources, where the reduced number of components simplifies the monitoring problem and where the change detection methods are applied for scalar signals. The approach has been tested in simulation and the assessment on a real machine is presented in the last part of the paper.

Cuvinte cheie: Blind source separation, change detection, JADE algorithm, CUSUM tests, segmentation, machine vibration analysis