Name
Title | ||
|---|---|---|
A Feature Weighted Mixed Naive Bayes Model for Monitoring Anomalies in the Fan System of a Thermal Power Plant |
Abstract | ||
|---|---|---|
With the increasing intelligence and integration, a great number of two-valued variables (generally stored in the form of 0 or 1) often exist in large-scale industrial processes. However, these variables cannot be effectively handled by traditional monitoring methods such as linear discriminant analysis (LDA), principal component analysis (PCA) and partial least square (PLS) analysis. Recently, a ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JAS.2022.105467 | IEEE/CAA Journal of Automatica Sinica |
Keywords | DocType | Volume |
Abnormality monitoring,continuous variables,feature weighted mixed naive Bayes model (FWMNBM),two-valued variables,thermal power plant | Journal | 9 |
Issue | ISSN | Citations |
4 | 2329-9266 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Min Wang | 1 | 76 | 27.77 |
| Li Sheng | 2 | 125 | 15.24 |
| Dong-Hua Zhou | 3 | 1833 | 129.73 |
| Maoyin Chen | 4 | 241 | 28.51 |