Development of self-validating soft sensors using fast moving window partial least squares

Industrial and Engineering Chemistry Research

Volumn 49, Issue 22, 2010, Pages 11530-11546

  Liu, Jialin ^a   Chen, Ding Sou ^b   Shen, Jui Fu ^b  

^a FORTUNE INSTITUTE OF TECHNOLOGY   (Taiwan)

^b CHINA STEEL CORPORATION   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

AIR SEPARATION PROCESS; COLINEARITY; CONFIDENCE INTERVAL; CONTINUOUS STIRRED TANK REACTOR; DATA QUALITY; HISTORICAL DATA; INDUSTRIAL PROCESSS; INFERENTIAL MODELS; INPUT AND OUTPUTS; INPUT MEASUREMENTS; INPUT SENSOR; LATENT VARIABLE; LINEAR RELATIONSHIPS; MODEL ADAPTATION; MOVING WINDOW; NONLINEAR PROCESS; ONLINE ANALYZERS; OPERATING REGIONS; OXYGEN CONCENTRATIONS; PARTIAL LEAST SQUARES; PLS MODELS; PREDICTION PERFORMANCE; PREDICTION UNCERTAINTY; PREDICTOR VARIABLES; PROCESS CHARACTERISTICS; PROCESS INDUSTRIES; PROCESS NEEDS; SOFT SENSORS; TIME VARYING; TRANSITION STAGE; WINDOW SIZE;

ADAPTIVE CONTROL SYSTEMS; FEEDBACK CONTROL; INDUSTRIAL APPLICATIONS; INDUSTRY; NONLINEAR FEEDBACK; OXYGEN; SENSORS; TIME VARYING SYSTEMS;

FORECASTING;

EID: 78449310514     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie101356c     Document Type: Article

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