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9 May 2000 Neural networks and fuzzy data fusion for machine condition monitoring
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Proceedings Volume 4077, International Conference on Sensors and Control Techniques (ICSC 2000); (2000) https://doi.org/10.1117/12.385609
Event: International Conference on Sensors and Control Techniques (ICSC2000), 2000, Wuhan, China
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xue Wang and Wei Zuo "Neural networks and fuzzy data fusion for machine condition monitoring", Proc. SPIE 4077, International Conference on Sensors and Control Techniques (ICSC 2000), (9 May 2000); https://doi.org/10.1117/12.385609
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