Machine vibration monitoring by blind source separation and change detection

Title:

Machine vibration monitoring by blind source separation and change detection

Creator:

Popescu , Theodor D.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:c725ab23-ceff-4639-ad53-aab96179cf10
uuid:c725ab23-ceff-4639-ad53-aab96179cf10

Subject:

Blind source separation, change detection, JADE algorithm, CUSUM tests, segmentation, and machine vibration analysis

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The paper presents a new approach for a 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.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2009 Volume:19 | Number:3

Harvested from:

CDK

Metadata only:

false