Regression-based analysis of multivariate non-Gaussian datasets for diagnosing abnormal situations in chemical processes

AIChE Journal

Volumn 60, Issue 1, 2014, Pages 148-159

  Zeng, Jiusun ^a,b   Xie, Lei ^b   Kruger, Uwe ^c   Gao, Chuanhou ^d  

^a CHINA JILIANG UNIVERSITY   (China)

^b STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

^c SULTAN QABOOS UNIVERSITY   (Oman)

^d ZHEJIANG UNIVERSITY   (China)

Author keywords

Mutual information; Non Gaussian regression; Non Gaussian source signals; Statistical local approach

Indexed keywords

APPLICATION STUDIES; FLUIDIZED BED REACTORS; LATENT VARIABLE MODELING; LOCAL APPROACHES; MUTUAL INFORMATIONS; NON-GAUSSIAN; NON-GAUSSIAN SOURCES; REGRESSION ALGORITHMS;

CHEMICAL ENGINEERING; FLUID CATALYTIC CRACKING; MULTIVARIANT ANALYSIS; REGRESSION ANALYSIS;

GAUSSIAN NOISE (ELECTRONIC);

EID: 84889649647     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.14230     Document Type: Article

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