Next Article in Journal
The Acute Effects of Whole Body Vibration on Isometric Mid-Thigh Pull Performance
Next Article in Special Issue
Experimental Characterization of Friction in a Negative Stiffness Nonlinear Oscillator
Previous Article in Journal
Static and Dynamic Solutions of Functionally Graded Micro/Nanobeams under External Loads Using Non-Local Theory
Open AccessArticle

Simplified Analysis for Multiple Input Systems: A Toolbox Study Illustrated on F-16 Measurements

1
Department of Engineering Technology, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Elsene, Belgium
2
Siemens Industry Software N.V., Interleuvenlaan 68, B-3001 Leuven, Belgium
3
Department of Electrical Engineering, TU Eindhoven, 5612 AZ Eindhoven, The Netherlands
*
Author to whom correspondence should be addressed.
Vibration 2020, 3(2), 70-84; https://doi.org/10.3390/vibration3020007
Received: 31 March 2020 / Revised: 13 April 2020 / Accepted: 14 April 2020 / Published: 17 April 2020
(This article belongs to the Special Issue Data-Driven Modelling of Nonlinear Dynamic Systems)
This paper introduces a nonparametric, nonlinear system identification toolbox called SAMI (simplified analysis for multiple input systems) 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 an experiment and the analysis of the measured data. When the proposed toolbox is used, with minimal user interaction, it is easily possible (a) to decide whether the underlying system is linear or not, (b) to decide whether 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. The toolbox is illustrated on openly accessible F-16 ground vibration testing measurements. View Full-Text
Keywords: toolbox study; MIMO systems; nonparametric estimation; nonlinear system identification; user-friendly methods; automatic processing; transient elimination toolbox study; MIMO systems; nonparametric estimation; nonlinear system identification; user-friendly methods; automatic processing; transient elimination
Show Figures

Figure 1

MDPI and ACS Style

Csurcsia, P.Z.; Peeters, B.; Schoukens, J.; De Troyer, T. Simplified Analysis for Multiple Input Systems: A Toolbox Study Illustrated on F-16 Measurements. Vibration 2020, 3, 70-84.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Back to TopTop