Comparison of Sensitivity-Guided and Black-Box Machine Tool Parameter Identification
Dynamic machine tool simulation models can be used for various applications such as process simulations, design optimization, and condition monitoring. However, all these applications require that the model replicates the real system’s behavior as accurately as possible. Next to carefully building t...
Main Authors: | Johannes Ellinger, Daniel Piendl, Michael F. Zaeh |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
|
Series: | Journal of Manufacturing and Materials Processing |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-4494/7/4/120 |
Similar Items
-
Automated Identification of Linear Machine Tool Model Parameters Using Global Sensitivity Analysis
by: Johannes Ellinger, et al.
Published: (2022-07-01) -
Volumetric error modeling and accuracy improvement by parameter identification of a compound machine tool
by: Yingchun WU, et al.
Published: (2021-10-01) -
Parameter Identification of DFIG Converter Control System Based on WOA
by: Youtao Li, et al.
Published: (2023-03-01) -
Comparative Study of Global Sensitivity Analysis and Local Sensitivity Analysis in Power System Parameter Identification
by: Chuan Qin, et al.
Published: (2023-08-01) -
Bagging-based neural network ensemble for load identification with parameter sensitivity considered
by: Xinyuan Hu, et al.
Published: (2022-11-01)