摘要
传统基于核映射的非线性故障检测方法的性能受核函数类型和核参数的调优影响较大,且实际工业环境中对过程变量的非线性阶数存在很多物理限制。针对这一问题,提出一种非线性动态全局局部保留投影(nonlinear dynamic global-local preserving projections,NDGLPP)的故障检测算法。该方法首先使用动态全局局部保留投影算法对数据矩阵进行降维;然后对降维后的矩阵建立二阶多项式映射提取非线性空间的相关特性;接着通过迭代这两个步骤以获得高阶非线性映射;最后,将所提方法应用于乙烯精馏过程和Tennessee Eastman(TE)过程仿真中,验证了检测方法的有效性和可行性。
The performance of the traditional nonlinear fault detection method based on kernel mapping is greatly influenced by the type of kernel function and the tuning of kernel parameters.To solve this problem,a method named nonlinear dynamic global-local preserving projections(NDGLPP)is proposed for nonlinear process fault detection.Firstly,dynamic global-local preserving projection algorithm is used to reduce the dimension of data matrix.Since the second order polynomial mapping is established for the reduced dimension matrix to extract the relevant properties of nonlinear space.Then the two steps are iterated to obtain the higher-order nonlinear mapping.Finally,the proposed method is applied to the ethylene distillation process and Tennessee Eastman(TE)process simulation to verify the effectiveness and feasibility of the detection method.
作者
徐静
王振雷
王昕
XU Jing;WANG Zhenlei;WANG Xin(Key Laboratory of Advanced Control and Optimization for Chemical Processes,East China University of Science and Technology,Shanghai 200237,China;Center of Electrical&Electronic Technology,Shanghai Jiao Tong University,Shanghai 200240,China)
出处
《化工学报》
EI
CAS
CSCD
北大核心
2020年第12期5655-5663,共9页
CIESC Journal
基金
国家重点研发计划项目(2018YFB1701103)。
关键词
非线性
构造多项式映射
动态
全局局部保留投影
故障检测
nonlinear
constructive polynomial mapping
dynamic
global-local preserving projections
fault detection
