SAMI: Simplified Analysis for Multiple Input systems

Introduction

The novel nonparametric nonlinear system identification toolbox called SAMI (Simplified Analysis for Multiple Input Systems) is being developed for industrial measurements of vibro-acoustic systems with multiple inputs. It addresses the questions related to the user-friendly (semi-)automatic processing of multiple-input, multiple-output measurements with respect to the design of experiment and the analysis of the measured data. When the proposed toolbox is used, with a minimal user interaction, it is easily possible a) to decide, if the underlying system is linear or not, b) to decide if the linear framework is still adequate to be used, and c) to tell an inexperienced user how much can be gained using an advanced nonlinear framework.

Main features

Screenshots

Video conference talks

Check out the downloadables

Demo codes and presentations

• Intro (2021): Simplified Analysis for Multiple Input systems: A generic approach towards modeling of dynamic systems

References - related articles

1. Csurcsia, P. Z.; Peeters, B.; Schoukens, J. (2020). User-friendly nonlinear framework for industrial measurements with multiple inputs. Mechanical Systems and Signal Processing, Volume 145, November - December 2020
2. Csurcsia, P. Z.; Peeters, B.; Schoukens, J.; De Troyer, T. (2020). Simplified Analysis for Multiple Input Systems: A Toolbox Study Illustrated on F-16 Measurements. Vibration. 3(2), 70-84
3. Csurcsia, P. Z. (2013). Static Nonlinearity Handling Using Best Linear Approximation: An Introduction. Pollack Periodica, 4(1), 1-12.
4. Csurcsia, P. Z. (2015). Part 1: Nemlinearitások detektálása multiszinuszos gerjesztéssel. Elektronet. 24(5), 36-40. (in Hungarian)
5. Csurcsia, P. Z. (2015). Part 2: Nemlinearitások detektálása multiszinuszos gerjesztéssel. Elektronet. 24(6), 44-47. (in Hungarian)
6. Ramaswamy, K. R.; Csurcsia P. Z.; Van den Hof P.; Schoukens J. A frequency domain approach for local module identification in dynamic networks. Automatica
7. Siddiqui, M. F.; De Troyer, T.; Csurcsia, P. Z.; Decuyper, J.; Schoukens, J.; Runacres, M.; A nonlinear state-space model of the unsteady lift force on a pitching wing. Mechanical Systems and Signal Processing
8. Csurcsia, P.Z.; Decuyper J.; Schoukens J.; De Troyer T. A study on decoupling PNLSS models illustrated on an F16 air fighter. Mechanical Systems and Signal Processing
9. Csurcsia, P. Z.; Peeters, B.; P., De Troyer, T. Simplified nonlinearity assessment of MIMO systems illustrated on ground vibration testing. Mechanical Systems and Signal Processing
10. Csurcsia, P. Z.; Peeters, B. Time-varying Operational Modal Analysis using Multidimensional Regularization.
11. Csurcsia, P.Z.; De Troyer T. (2021). An empirical study on decoupling PNLSS models illustrated on an airplane. 19th IFAC Symposium on System Identification. Italy.
12. Csurcsia, P.Z.; Decuyper J.; Schoukens J.; De Troyer T. (2021). Empirical study on decoupling PNLSS models illustrated on F16. Workshop on Nonlinear System Identification Benchmarks. Eindhoven, The Netherlands
13. Van den Bossche, S.; Csurcsia, P.Z. (2021). Modelling of F-16 Ground Vibration Testing Measurements Using Machine Learning Techniques. International Modal Analysis Conference. Orlando, USA
14. Csurcsia, P.Z.; De Troyer T. (2021). Frequency Response Function Estimation for Systems with Multiple Inputs using Short Measurement: A Benchmark Study. International Modal Analysis Conference. Orlando, USA
15. Csurcsia, P.Z.; Decuyper J.; De Troyer T. (2021). Nonparametric Nonlinear Modelling of an F16 Ground Vibration Testing Measurement. International Modal Analysis Conference. Orlando, USA
16. Csurcsia, P. Z.; Peeters, B.; Schoukens, J. (2020). B-spline based time-varying operational modal analysis illustrated on a wind tunnel testing measurement. International Conference on Noise and Vibration Engineering. Leuven. Belgium
17. Csurcsia, P. Z.; Peeters, B.; Schoukens, J. (2020). The Best Linear Approximation of MIMO systems: simplified nonlinearity assessment using a toolbox. International Conference on Noise and Vibration Engineering. Leuven. Belgium
18. Peeters, B.; Csurcsia, P. Z.; Bianciardi, F (2020). Novel MIMO Frequency Response Function estimation technique suited for short measurements: a benchmark study. International Conference on Noise and Vibration Engineering. Leuven. Belgium
19. De Troyer, T.; Csurcsia, P. Z.; Greenblatt D (2020). Nonlinear system identification of a pitching wing in a surging flow. International Conference on Noise and Vibration Engineering. Leuven. Belgium
20. Elkafafy, M.; Csurcsia, P. Z.; Cornelis, B.; Risaliti, E; Janssens, K (2020). Machine learning and system identification for the estimation of data-driven models: An experimental case study illustrated on a tire-suspension system. International Conference on Noise and Vibration Engineering. Leuven. Belgium
21. Siddiqui, M. F., Csurcsia, P. Z.; De Troyer, T.; Runacres M. C. (2020). Development of a nonlinear data-driven model of the lift on a pitching aerofoil. Torque 2020. Delft, the Netherlands
22. Csurcsia, P. Z.; Di Lorenzo, E.; Musella, U.; Hallez, R.; Debille, J.; Peeters, B. (2019). Structural dynamics assessment on a full-electric aircraft: ground vibration testing and in-flight measurements. International Forum on Aeroelasticity and Structural Dynamics. Georgia, USA
23. Csurcsia, P. Z.; Peeters, B.; Schoukens, J. (2019). The Best Linear Approximation of MIMO Systems: First Results on Simplified Nonlinearity Assessment. International Modal Analysis Conference. Orlando, USA
24. Csurcsia, P. Z.; Peeters, B.; Schoukens, J. (2019). Tracking the modal parameters of time-varying structures by regularized nonparametric estimation and operational modal analysis. 2019 International Operational Modal Analysis Conference. Coppenhagen, Denmark
25. Csurcsia, P. Z.; Schoukens, J.; Peeters, B. (2018). Regularized time-varying operational modal analysis illustrated on a wind tunnel testing measurement. International Conference on Noise and Vibration Engineering. Leuven, Belgium
26. Luczak, M.; Peeters, B.; Manzato, S.; Di Lorenzo, E.; Csurcsia, P. Z.; Reck-Nielsen, K.; Ruffini, V. (2018). Integrated dynamic testing and analysis approach for model validation of an innovative wind turbine blade design. International Conference on Noise and Vibration Engineering. Leuven. Belgium
27. Alvarez Blanco, M.; Csurcsia, P. Z. ; Carrera, A. ; Peeters, B. (2018). Nonlinearity Assessment of MIMO Electroacoustic Systems for Direct Field Environmental Acoustic Testing. 31st Aerospace Testing Seminar. Los Angeles, USA
28. Alvarez Blanco, M.; Csurcsia, P. Z.; Peeters, B.; Janssens, K.; Desmet, W. (2018). Nonlinearity assessment of mimo electroacoustic systems on direct field environmental acoustic testing. International conference on Noise and Vibration Engineering. Leuven, Belgium.
29. Csurcsia, P. Z.; Schoukens, J.; Peeters, B. (2018). Nonparametric Approximation of the Nonlinear SilverBox Data: a Linear Time-varying Approach. Workshop on Nonlinear System Identification Benchmarks. Liege, Belgium
30. Csurcsia, P. Z.; Ramaswamy, K. R.; Van den Hof P.; Schoukens J (2021). A frequency domain approach for local module identification in dynamic networks. Workshop of the European Research Network on System Identification. The Netherlands
31. Csurcsia, P. Z., Peeters, B. (2020). User-friendly Nonparametric Framework for Vibro-acoustic Industrial Measurements with Multiple Inputs. Benelux Meeting on Systems and Control. The Netherlands
32. Peeters, B., Csurcsia, P. Z. (2019). Structural nonlinearities - an industrial view. Workshop on Nonlinear System Identification Benchmarks. Eindhoven. The Netherlands
33. Csurcsia, P. Z., Peeters, B., Schoukens, J. (2019). An industrial nonparametric framework for measurements of nonlinear systems. ERNSI Workshop on System Identification. The Netherlands
34. Peeters, B., Csurcsia, P. Z. (2018). The use of exotic multisines in MIMO structural dynamics and acoustic applications. Workshop on Nonlinear System Identification Benchmarks. Liege, Belgium