Online monitoring and fault identification of mean shifts in bivariate processes using decision tree learning techniques

Journal of Intelligent Manufacturing

Volumn 24, Issue 1, 2013, Pages 25-34

  He, Shu Guang ^a   He, Zhen ^a   Wang, Gang A ^b  

^a TIANJIN UNIVERSITY   (China)

^b VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Average run length; Bivariate process; Decision tree learning; Fault identification; Process monitoring; Statistical process control

Indexed keywords

COVARIANCE MATRIX; DECISION TREES; ONLINE SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); STATISTICAL PROCESS CONTROL; VECTOR QUANTIZATION;

AVERAGE RUN LENGTHS; BIVARIATE; DATA COLLECTION SYSTEM; DECISION TREE LEARNING; FAULT IDENTIFICATIONS; MANUFACTURING PROCESS; MEAN SHIFT; MULTIVARIATE CONTROL CHARTS; ON-LINE PROCESS MONITORING; ONLINE MONITORING; OUT-OF-CONTROL SIGNALS; PROCESS MEAN SHIFTS; PROCESS VARIABLES; VARIANCE-COVARIANCE MATRIX;

PROCESS MONITORING;

EID: 85027944759     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-011-0533-5     Document Type: Article

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