Pattern recognition of manufacturing process signals using Gaussian mixture models-based recognition systems

Computers and Industrial Engineering

Volumn 61, Issue 3, 2011, Pages 881-890

  Yu, Jianbo ^a,b  

^a SHANGHAI UNIVERSITY   (China)

^b XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Feature extraction; Gaussian mixture models; Manufacturing process; Pattern recognition; Statistical process control

Indexed keywords

ASSIGNABLE CAUSE; DYNAMIC MODELING; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURES; GENERALIZATION PERFORMANCE; INPUT FEATURES; MANUFACTURING PROCESS; PROCESS PATTERNS; PROCESS VARIATION; QUALITY ENGINEERS; RECOGNITION SYSTEMS; STATISTICAL FEATURES; STATISTICAL PROCESS; TRAINING PROCEDURES; WAVELET ENERGY FEATURE;

COMPUTER SIMULATION; FEATURE EXTRACTION; GAUSSIAN DISTRIBUTION; INDUSTRIAL ENGINEERING; MANUFACTURE; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; PERSONNEL TRAINING; PRODUCTION ENGINEERING;

STATISTICAL PROCESS CONTROL;

EID: 80053185356     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2011.05.022     Document Type: Article

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