Robust Diagnosis Method of Equipment Fault Based on Weighted Probabilistic Neural Network*
Author:
Affiliation:
1. Beijing University of Technology,Engineering Research Center of Digital Community, Ministry of Education, the Faculty of Information Technology,Beijing,China
Funder
Nova
Beijing Municipal Education Commission
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10295546/10295577/10295928.pdf?arnumber=10295928
Reference10 articles.
1. A statistical training data cleaning strategy for the PCA-based chiller sensor fault detection, diagnosis and data reconstruction method
2. Outlier-robust extreme learning machine for regression problems
3. A predictive sliding local outlier correction method with adaptive state change rate determining for bearing remaining useful life estimation
4. Novel Probabilistic Neural Network Models Combined with Dissolved Gas Analysis for Fault Diagnosis of Oil-Immersed Power Transformers
5. Fault Diagnosis Method Based on GA-IBP Neural Network
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