A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes

Expert Systems with Applications

Volumn 36, Issue 1, 2009, Pages 909-921

  Yu, Jian bo ^a   Xi, Li feng ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Multivariate control chart; Multivariate manufacturing processes; Neural network ensemble; Statistical process control

Indexed keywords

CONTROL SYSTEMS; CONTROL THEORY; CUSTOMER SATISFACTION; IMAGE CLASSIFICATION; INDUSTRIAL ENGINEERING; NETWORK PROTOCOLS; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); PROCESS ENGINEERING; QUALITY ASSURANCE; QUALITY CONTROL; QUALITY FUNCTION DEPLOYMENT; ROBUSTNESS (CONTROL SYSTEMS); SENSOR NETWORKS; STATISTICAL METHODS; STATISTICAL PROCESS CONTROL; STATISTICS; SURFACE TREATMENT; TOTAL QUALITY MANAGEMENT;

ASSIGNABLE CAUSES; AVERAGE RUN LENGTH; BIVARIATE; CONTROL RECOGNITION; CONTROL SCHEMES; DISCRETE PARTICLE SWARM OPTIMIZATION; ENSEMBLE APPROACH; MANUFACTURING PROCESSES; MULTIVARIATE CONTROL CHART; MULTIVARIATE MANUFACTURING PROCESSES; MULTIVARIATE PROCESSES; MULTIVARIATE QUALITY CONTROL; MULTIVARIATE STATISTICAL PROCESS CONTROL; NEURAL NETWORK ENSEMBLE; NEURAL NETWORK ENSEMBLES; ON-LINE MONITORING AND DIAGNOSIS; OUT-OF-CONTROL; OUT-OF-CONTROL SIGNALS; QUALITY PRACTITIONERS; SIMULATION RESULTS; STATISTICAL FEATURES; STATISTICAL PROCESSING;

PROCESS CONTROL;

EID: 53849102241     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.10.003     Document Type: Article

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