自动化学报2017，Vol.43Issue(6)：944-954,11.DOI:10.16383/j.aas.2017.c170136
基于数据的流程工业生产过程指标预测方法综述
Data-driven Prediction on Performance Indicators in Process Industry: A Survey
摘要
Abstract
It is of great significance to predict production process indicators in process industry for production scheduling,safety production and energy saving.Currently,various data-driven approaches for predicting these indicators are proposed,including the following three aspects:feature selection,prediction model construction and model parameter optimization.This paper surveys the above three aspects and summaries the merits and demerits of these approaches.Finally,future research directions of production process prediction of key indicators in process industry are suggested with respect to industrial big data and knowledge automation.关键词
生产过程/特征选择/预测模型/参数优化/工业大数据Key words
Production process/feature selection/prediction model/parameter optimization/industrial big data引用本文复制引用
陈龙,刘全利,王霖青,赵珺,王伟..基于数据的流程工业生产过程指标预测方法综述[J].自动化学报,2017,43(6):944-954,11.基金项目
国家自然科学基金(61473056,61533005,61522304,U1560102),国家科技支撑计划(2015BAF22B01),中央高校基本科研基金(DUT16RC(3)031)资助 Supported by National Natural Science Foundation of China (61473056,61533005,61522304,U1560102),National Key Technology Support Program (2015BAF22B01),Fundamental Research Funds for the Central Universities (DUT16RC(3)031) （61473056,61533005,61522304,U1560102）
