PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
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.
Xue Wang andWei 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
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Xue Wang, 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