基于GFRFs的非线性系统结构故障检测方法  

Structural fault detection method for nonlinear systems based on GFRFs

作　　者：史洪岩 杨文奎[1,2] 潘多涛 SHI Hongyan;YANG Wenkui;PAN Duotao(College of Information Engineering,Shenyang University of Chemical Technology,Shenyang 110142,China;Liaoning Provincial Key Laboratory of Chemical Process Control Technology,Shenyang University of Chemical Technology,Shenyang 110142,China)

机构地区：[1]沈阳化工大学信息工程学院,辽宁沈阳110142 [2]沈阳化工大学辽宁省化工过程控制技术重点实验室,辽宁沈阳110142

出　　处：《大连工业大学学报》2023年第5期385-390,共6页Journal of Dalian Polytechnic University

基　　金：国家重点研发计划(2018YFB1700200);辽宁省自然科学基金项目(2019-ZD-0069);辽宁省教育厅科学研究面上项目(LJKZ0433).

摘　　要：为了能够更加准确高效地检测非线性系统的结构是否发生故障,提出了基于系统带外部输入的非线性自回归(NARX)模型的广义频率响应函数(GFRFs)故障检测方法。根据受检系统的NARX模型参数和一阶GFRF估算出系统的高阶GFRFs,通过比较受检系统与无故障系统结构的广义频率响应函数值,实现系统结构的故障检测。根据受检系统和无故障系统的GFRFs确定系统故障损害程度指数,进一步对故障程度进行评估。通过实验与其他检测方法进行对比,验证了所提检测方法的优越性。In order to more accurately and efficiently detect whether the structure of a nonlinear system fails,a generalized frequency response functions(GFRFs)fault detection method based on the nonlinear auto-regression with exogenous input(NARX)model of the system is proposed.The high order GFRFs of the system are estimated according to the NARX model parameters and the first order GFRF of the system under inspection.According to the GFRFs of the inspected system and the non-faulty system,the system failure damage degree index is determined and further evaluated.The experiments were compared with other detection methods to verify the superiority of the proposed detection method.

关 键 词：故障检测 带外部输入的非线性自回归模型 广义频率响应函数 频域分析 非线性系统 

分 类 号：TN710[电子电信—电路与系统]