Mathematical Model and Algorithm Design of Computer Random Dynamic Nonlinear Force Detection

Abstract:

According to the principle of random computer nonlinear measurement, the partial differential mathematical model of computer stochastic nonlinear dynamic force signal detection is established by using multi sensor control, which can establish the computer mechanical signal detection and analysis system of the complex force detection. In order to verify the validity and reliability of the system, this paper depends on the mechanical characteristics detection of volleyball player movement process as an example, to monitor the force signal for the process of volleyball players. Through the elastic-plastic stress signal analysis, we find that when the sensor is spiral distribution, the distribution of power spectrum will be relatively stable; when the sensor is 8 shape distribution, the size of the force will be relatively stable between 18N and-18N. However, the spectrum analysis is not stable, and it agrees with the theory trend of mechanics calculation, to verify the rationality of the algorithm.

• Periodical: Advanced Materials Research (Volume 898)
• Pages: 787-791
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.898.787
• Online since: February 2014
• Authors: Chun Juan Ye*
• Keywords: Force Signal Detection, Partial Differential Equation, Sensor, Spectrum Analysis, Stochastic Nonlinear, Variational Principle

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