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Proceedings Paper

Neural networks and fuzzy data fusion for machine condition monitoring
Author(s): Xue Wang; Wei Zuo
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Paper Abstract

This paper presents a new general framework for information fusion of machine condition monitoring based on neural networks and fuzzy methods. In the proposed architecture, feature extraction and feature fusion are performed by adopting a class for membership fusion which take care of the possibility and admissibility of the feature itself. We put forward to based on neural networks and fuzzy data fusion for machine condition monitoring.

Paper Details

Date Published: 9 May 2000
PDF: 4 pages
Proc. SPIE 4077, International Conference on Sensors and Control Techniques (ICSC 2000), (9 May 2000); doi: 10.1117/12.385609
Show Author Affiliations
Xue Wang, Tsinghua Univ. (China)
Wei Zuo, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 4077:
International Conference on Sensors and Control Techniques (ICSC 2000)
Desheng Jiang; Anbo Wang, Editor(s)

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