A kernel-based approach for fault diagnosis in batch processes

Journal of Chemometrics

Volumn 28, Issue 8, 2014, Pages 697-707

  Vitale, R ^a   de Noord, O E ^b   Ferrer, A ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b SHELL GLOBAL SOLUTIONS INTERNATIONAL B V   (United States)

Author keywords

Batch processes; Fault diagnosis; Fault discrimination; Kernel based methods; Pseudo sample projection

Indexed keywords

BATCH DATA PROCESSING; DISCRIMINANT ANALYSIS; FAILURE ANALYSIS; FAULT DETECTION; LEAST SQUARES APPROXIMATIONS;

BATCH DATA; BATCH PROCESS; BILINEAR MODELS; FAULT DISCRIMINATION; FAULTS DIAGNOSIS; KERNEL BASED APPROACH; KERNEL BASED METHODS; PARTIAL LEAST SQUARES DISCRIMINANT ANALYSES (PLSDA); PSEUDO-SAMPLE PROJECTION; UNFOLDINGS;

SPECIFICATIONS;

EID: 84905676592     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.2629     Document Type: Article

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