Name
Title | ||
|---|---|---|
Synchronizing process variables in time for industrial process monitoring and control. |
Abstract | ||
|---|---|---|
•Production data often has to be synchronized in time before statistical analysis.•The choice in synchronization method matters for the quality of the analysis.•Synchronization using median-filtering gives the highest analysis quality.•Changes in the state of a process may affect the quality longer than expected. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compchemeng.2020.106938 | Computers & Chemical Engineering |
Keywords | DocType | Volume |
Soft-sensor,Process control,Dynamic synchronization,Regression,Industry,Statistical modelling | Journal | 140 |
ISSN | Citations | PageRank |
0098-1354 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tim Offermans | 1 | 0 | 0.34 |
| Ewa Szymanska | 2 | 0 | 0.34 |
| L. M. C. Buydens | 3 | 66 | 8.79 |
| Jeroen J. Jansen | 4 | 47 | 7.40 |