Name
Abstract | ||
|---|---|---|
•A novel method for plant wide oscillation detection is proposed.•Mode alignment property of multivariate empirical mode decomposition and a grouping algorithm is employed.•The proposed method is used to group plant variables oscillating with similar frequency.•The proposed method can work with non-stationary plant data.•The approach doesn’t require a priori assumption about the underlying process dynamics. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compchemeng.2018.06.007 | Computers & Chemical Engineering |
Keywords | Field | DocType |
Multivariate empirical mode decomposition,Mode alignment,Grouping algorithm,Dyadic filter bank property | Oscillation,Mathematical optimization,Fourier analysis,Control theory,Adaptive method,Random noise,Multivariate empirical mode decomposition,Industrial control system,Root cause,Common cause and special cause,Mathematics | Journal |
Volume | ISSN | Citations |
117 | 0098-1354 | 1 |
PageRank | References | Authors |
0.48 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Faisal Aftab | 1 | 1 | 0.48 |
| Morten Hovd | 2 | 82 | 16.07 |
| Selvanathan Sivalingam | 3 | 1 | 0.48 |