Identification, prediction and detection of the process fault in a cement rotary kiln by locally linear neuro-fuzzy technique

Journal of Process Control

Volumn 21, Issue 2, 2011, Pages 302-308

  Sadeghian, Masoud ^a   Fatehi, Alireza ^b  

^a Oklahoma State University   (United States)

^b K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Cement rotary kiln; Delay estimation method; Fault detection; Locally linear neuro fuzzy model; LOLIMOT

Indexed keywords

CEMENT ROTARY KILN; DELAY ESTIMATION; INPUT OUTPUT MODEL; LOLIMOT; LOLIMOT ALGORITHMS; NEURO-FUZZY; NEURO-FUZZY MODEL; NEURO-FUZZY TECHNIQUES; NON-LINEAR SYSTEM IDENTIFICATION; NORMAL CONDITION; OPERATION POINT; PREDICTION HORIZON; PROCESS FAULTS; TREE-STRUCTURE; VALIDATION DATA;

ALGORITHMS; CEMENTS; FAULT DETECTION; FORECASTING; ROTARY KILNS; TIME DELAY; TREES (MATHEMATICS);

FURNACES;

EID: 79951721961     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2010.10.009     Document Type: Conference Paper

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