Name
Title | ||
|---|---|---|
Artificial Neural Correlation Analysis for Performance-Indicator-Related Nonlinear Process Monitoring |
Abstract | ||
|---|---|---|
In this article, a novel fault detection and process monitoring method referred to as artificial neural correlation analysis (ANCA) is proposed. Because nonlinear characteristics are common in complex industrial processes, the classic canonical correlation analysis (CCA) always perform poorly. Many scholars have noticed the nonlinear problem of the process and have also proposed some improved sche... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TII.2021.3080285 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Feature extraction,Correlation,Kernel,Data mining,Process monitoring,Fault detection,Reactive power | Journal | 18 |
Issue | ISSN | Citations |
2 | 1551-3203 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qing Chen | 1 | 54 | 7.63 |
| Zhanzhan Liu | 2 | 1 | 0.35 |
| Xin Ma | 3 | 1 | 0.69 |
| Youqing Wang | 4 | 220 | 25.81 |