Process monitoring and fault diagnosis of penicillin fermentation based on improved MICA

Advanced Materials Research

Volumn 591-593, Issue , 2012, Pages 1783-1788

  Jia, Zhi Yang ^a   Wang, Pu ^a   Gao, Xue Jin ^a  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Fault diagnosis; Fermentation process; Independent component analysis; Process monitoring

Indexed keywords

BATCH PROCESS; FERMENTATION PROCESS; INDEPENDENT COMPONENTS; INDUSTRIAL PROCESSS; LEAST SQUARE; LINEAR COMBINATIONS; MIXED SIGNAL; MONITORING MODELS; MULTIVARIATE GAUSSIAN DISTRIBUTIONS; NEGENTROPY; NON-GAUSSIAN; OBSERVATIONAL DATA; PROCESS VARIABLES; STATISTICAL SIGNIFICANCE;

BATCH DATA PROCESSING; FAILURE ANALYSIS; FERMENTATION; IMAGE SEGMENTATION; INDUSTRIAL ENGINEERING; MICA; PRINCIPAL COMPONENT ANALYSIS; PROCESS CONTROL; PROCESS MONITORING; SIGNAL PROCESSING;

INDEPENDENT COMPONENT ANALYSIS;

EID: 84871094789     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.591-593.1783     Document Type: Conference Paper

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