Novelty detection for practical pattern recognition in condition monitoring of multivariate processes: A case study

International Journal of Advanced Manufacturing Technology

Volumn 25, Issue 9-10, 2005, Pages 954-963

  Zorriassatine, F ^a   Al Habaibeh, A ^a   Parkin, R M ^a   Jackson, M R ^b   Coy, J ^c  

^a Wolfson School of Mechanical and Manufacturing Engineering   (United Kingdom)

^b Iensys Ltd   (United Kingdom)

^c Technology Centre   (United Kingdom)

Author keywords

Condition monitoring; Novelty detection; Pattern recognition; Process control; Time series

Indexed keywords

CONDITION MONITORING; MILLING (MACHINING); NEURAL NETWORKS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; PROBLEM SOLVING; PROCESS CONTROL; SENSOR DATA FUSION; STATISTICAL METHODS; TIME SERIES ANALYSIS; VECTORS;

MULTIVARIATE EXPONENTIALLY WEIGHTED MOVING AVERAGE (MEWMA); MULTIVARIATE STATISTICAL PROCESS CONTROL (MSPC); NOVELTY DETECTION; PRODUCT QUALITY;

MULTIVARIABLE CONTROL SYSTEMS;

EID: 18144377114     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00170-004-2174-8     Document Type: Article

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