燕山大学学报2025，Vol.49Issue(2)：155-166,188,13.DOI:10.3969/j.issn.1007-791X.2025.02.008
一种基于多尺度多流形投影的故障检测方法
A fault detection method based on multiscale multi-manifold projections
摘要
Abstract
A fault detection method based on multiscale multi-manifold projections(MSMMP)is proposed in this paper for industrial process data with high dimensionality,multiscale and non-stationary characteristics.The method introduces multiscale analysis to the traditional multi-manifold projections(MMP)algorithm.First,the process data are decomposed into different scales using wavelet transforms.Second,the MMP model is built at each scale and the model is judged using the mean squared error to select the best decomposition scale.Finally,a MSMMP model with an optimal decomposition scale is developed and fault detection is performed by comparing the statistics and control limits.The fault detection method is applied to a continuous stirred tank reactor and the Tennessee Eastman(TE)process for simulation analysis to verify the feasibility and effectiveness of the method.MSMMP solves the dilemma of traditional algorithms in dealing with high-dimensional data,keeps the structural information of the data completely and captures the multiscale features of the data effectively,and improves the expressive ability of the data after dimensionality reduction.关键词
多流形投影/小波变换/多尺度分析/故障检测Key words
multi-manifold projections/wavelet transform/multiscale analysis/fault detection分类
计算机与自动化引用本文复制引用
郭金玉,赵素华,李元..一种基于多尺度多流形投影的故障检测方法[J].燕山大学学报,2025,49(2):155-166,188,13.基金项目
国家自然科学基金资助项目(62273242) （62273242）
辽宁省教育厅科学研究资助项目(JYTMS20231516) （JYTMS20231516）
