Name
Abstract | ||
|---|---|---|
This paper considers the problem of unbalance estimation of rotating machinery. It is formulated as a parameter estimation problem, where the unknowns enter nonlinearly in a regression model. By use of a certain method, the problem can be reformulated as a linear estimation procedure with a closed form solution. This procedure is sometimes known as the influence coefficient method. In its derivation, no special treatment is devoted to disturbing terms and imperfections in the model. Therefore, a novel method is derived which takes disturbances into account, leading to a nonlinear estimator. The two procedures are compared and analyzed with respect to their statistical accuracy. Using the example of unbalance estimation of a separator, the nonlinear approach is shown to give superior performance. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.automatica.2010.06.053 | Automatica |
Keywords | Field | DocType |
Unbalance estimation,Balancing,Nonlinear regression,Linear regression,Variable projection algorithms | Nonlinear system,Regression analysis,Control theory,Closed-form expression,Nonlinear regression,Projection method,Estimation theory,System identification,Mathematics,Linear regression | Journal |
Volume | Issue | ISSN |
46 | 11 | Automatica |
Citations | PageRank | References |
1 | 0.36 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter Nauclér | 1 | 5 | 1.35 |
| Torsten Söderström | 2 | 885 | 566.86 |