多模态过程的全自动离线模态识别方法

  本文关键词：模态识别，，由笔耕文化传播整理发布。

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摘要 多模态是复杂工业生产过程的普遍特性.不同模态具有不同的过程特性,需要建立不同的模型,因此离线建模数据的模态划分与识别是整个多模态过程建模的关键问题之一.目前,常用的聚类算法需要对其结果进行人工分析和后续处理,无法真正实现多模态过程的全自动模态识别.因此,本文提出一种全自动的多模态过程离线模态识别方法.首先通过宽度为H的大切割窗口对数据进行切割,利用改进的K-means聚类算法对窗口单元进行聚类;根据聚类结果,对稳定模态淹没现象进行处理,得到模态的初步划分结果;最终,利用小滑动窗口L,对稳定模态及过渡模态交接区域进行细划分,准确定位稳定模态与过渡模态的分割点.算法实现了多模态过程的全自动离线识别,并给出合理有效的识别结果.仿真分析表明此方法能够实现模态的自动识别,且识别结果准确.

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收稿日期: 2015-03-04     

基金资助:国家自然科学基金(61533007,61374146,61403072),流程工业综合自动化国家重点实验室基础科研业务费(2013ZCX02-04),中央高校基本科研专项资金(N140404020),华东理工大学探索研究专项基金(22A201514050)资助

通讯作者: 张淑美东北大学博士研究生.主要研究方向为复杂工业过程监测与故障诊断.本文通信作者.E-mail:aries816@163.com     E-mail: aries816@163.com

作者简介: 王福利东北大学教授.主要研究方向为复杂工业过程建模、控制与优化,工业过程监测、质量预报与故障诊断.E-mail:wangfuli@ise.neu.edu.cn;谭帅华东理工大学讲师.主要研究方向为复杂工业过程建模,过程监测与故障诊断.E-mail:tanshuai@ecust.edu.cn;王姝东北大学副教授.主要研究方向为复杂工业过程建模,过程监测与故障诊断.E-mail:wangshu@ise.neu.edu.cn

引用本文:   

张淑美, 王福利, 谭帅, 王姝. 多模态过程的全自动离线模态识别方法. 自动化学报, 2016, 42(1): 60-80.
ZHANG Shu-Mei, WANG Fu-Li, TAN Shuai, WANG Shu. A Fully Automatic Offline Mode Identification Method for Multi-mode Processes. Acta Automatica Sinica, 2016, 42(1): 60-80.

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  本文关键词：模态识别，由笔耕文化传播整理发布。