本文關(guān)鍵詞：模態(tài)識別，，由筆耕文化傳播整理發(fā)布。

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摘要 多模態(tài)是復雜工業(yè)生產(chǎn)過程的普遍特性.不同模態(tài)具有不同的過程特性,需要建立不同的模型,因此離線建模數(shù)據(jù)的模態(tài)劃分與識別是整個多模態(tài)過程建模的關(guān)鍵問題之一.目前,常用的聚類算法需要對其結(jié)果進行人工分析和后續(xù)處理,無法真正實現(xiàn)多模態(tài)過程的全自動模態(tài)識別.因此,本文提出一種全自動的多模態(tài)過程離線模態(tài)識別方法.首先通過寬度為H的大切割窗口對數(shù)據(jù)進行切割,利用改進的K-means聚類算法對窗口單元進行聚類;根據(jù)聚類結(jié)果,對穩(wěn)定模態(tài)淹沒現(xiàn)象進行處理,得到模態(tài)的初步劃分結(jié)果;最終,利用小滑動窗口L,對穩(wěn)定模態(tài)及過渡模態(tài)交接區(qū)域進行細劃分,準確定位穩(wěn)定模態(tài)與過渡模態(tài)的分割點.算法實現(xiàn)了多模態(tài)過程的全自動離線識別,并給出合理有效的識別結(jié)果.仿真分析表明此方法能夠?qū)崿F(xiàn)模態(tài)的自動識別,且識別結(jié)果準確.

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收稿日期: 2015-03-04     

基金資助:國家自然科學基金(61533007,61374146,61403072),流程工業(yè)綜合自動化國家重點實驗室基礎(chǔ)科研業(yè)務(wù)費(2013ZCX02-04),中央高�；究蒲袑ｍ椯Y金(N140404020),華東理工大學探索研究專項基金(22A201514050)資助

通訊作者: 張淑美東北大學博士研究生.主要研究方向為復雜工業(yè)過程監(jiān)測與故障診斷.本文通信作者.E-mail:aries816@163.com     E-mail: aries816@163.com

作者簡介: 王福利東北大學教授.主要研究方向為復雜工業(yè)過程建模、控制與優(yōu)化,工業(yè)過程監(jiān)測、質(zhì)量預(yù)報與故障診斷.E-mail:wangfuli@ise.neu.edu.cn;譚帥華東理工大學講師.主要研究方向為復雜工業(yè)過程建模,過程監(jiān)測與故障診斷.E-mail:tanshuai@ecust.edu.cn;王姝東北大學副教授.主要研究方向為復雜工業(yè)過程建模,過程監(jiān)測與故障診斷.E-mail:wangshu@ise.neu.edu.cn

引用本文:   

張淑美, 王福利, 譚帥, 王姝. 多模態(tài)過程的全自動離線模態(tài)識別方法. 自動化學報, 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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