自适应滤波在万能材料试验机技术改造中的应用

The Application of Adaptive Filter in Universal Testing Machine Technological Transformations

结合传统自适应噪声抵消系统的基本原理,建立了基于人工神经网络的自适应噪声抵消器,并在理论探索的基础下,将这种方法应用于工程实际问题-万能材料试验机测试系统微机化改造的信号处理。最后,经基于Matlab的Simulink仿真证明,这种方法具有很强的噪声滤除能力和鲁棒性,同时为在线检测应用提供必要的前提条件。

This article unifies the basic principle of the traditional Adaptive Noise Cancellation system, has established anAdaptive Noise Cancellation Controller based on the artificial neural networks, and under the basis of theory exploration, applies this method to the practical engineering problem-the universal testing machine test system microcomputer transformation signal processing. Finally, it was proved that this method has the very strong noise filtration ability and robustness based on the Matlab Simulink simulation, simultaneously provides the essential premise for the online examination application.