On-line analysis of out-of-control signals in multivariate manufacturing processes using a hybrid learning-based model

Neurocomputing

Volumn 74, Issue 12-13, 2011, Pages 2083-2095

  Salehi, Mojtaba ^a   Bahreininejad, Ardeshir ^a,b   Nakhai, Isa ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

2 chart; Multivariate manufacturing processes; Neural network; Statistical process control; Support vector machine

Indexed keywords

AUTOMATIC DATA ACQUISITION; HYBRID MODEL; MANUFACTURING INDUSTRIES; MEAN SHIFT; MULTIVARIATE MANUFACTURING PROCESS; MULTIVARIATE QUALITY CONTROL; ON-LINE ANALYSIS; OUT-OF-CONTROL; OUT-OF-CONTROL SIGNALS; QUALITY CHARACTERISTIC; STATISTICAL PROCESS; SUPPORT VECTOR; TARGET VALUES;

ENGINEERING EDUCATION; INDUSTRIAL ENGINEERING; MULTIVARIANT ANALYSIS; NEURAL NETWORKS; PRODUCTION ENGINEERING; SIGNAL DETECTION; STATISTICAL PROCESS CONTROL; SUPPORT VECTOR MACHINES;

QUALITY CONTROL;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFIER; CONTROLLED STUDY; HYBRID LEARNING; LEARNING; MULTIVARIATE MANUFACTURING PROCESS; ONLINE ANALYSIS; PRIORITY JOURNAL; PROCESS CONTROL; QUALITY CONTROL; SIMULATION; SUPPORT VECTOR MACHINE;

EID: 79956115039     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2010.12.020     Document Type: Article

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