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本文分两部分介绍如何应用时间序列的基本性质来识别一个振动系统在随机激励环境下的动力特特参数。第一部分是理论、方法和软件,第二部分是应用研究。近年来在用实验模型分析技术识别振动系统动力特性方面取得了长足的进展,但在大型结构现场运行条件下进行试验会有许多困难,它或受激振条件和设备的限制,或因工况变化而使动力特性变化,从而使试验难于奏效。本文应用时间序列分析方法克服上述难点,取得了满意的结果,文章就所提出的方法的理论依据和计算公式作了详细论述,在此基础上形成了四种语言文本的计算机软件(MATSA 程序),从多方面进行了实际应用和验证。
This article describes how to use the basic properties of time series to identify the power characteristics of a vibration system in a random excitation environment. The first part is theory, methods and software, and the second part is applied research. In recent years, considerable progress has been made in identifying the dynamic characteristics of vibration systems using experimental model analysis techniques. However, there are many difficulties in conducting tests under the conditions of large-scale structural on-site operation. It may be limited by vibration conditions and equipment, or due to operating conditions. Changes in dynamic characteristics, so that the test is difficult to work. This paper applies the time series analysis method to overcome the difficulties mentioned above and obtains satisfactory results. The paper discusses in detail the theoretical basis and the calculation formula of the proposed method. On this basis, it forms a computer software (MATSA program) with four languages and texts. , from a variety of practical applications and verification.