A robust approach for root causes identification in machining processes using hybrid learning algorithm and engineering knowledge

Journal of Intelligent Manufacturing

Volumn 23, Issue 5, 2012, Pages 1833-1847

  Du, Shichang ^a   Lv, Jun ^b   Xi, Lifeng ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b EAST CHINA NORMAL UNIVERSITY   (China)

Author keywords

Engineering driven rules; Hybrid learning algorithm; Root causes identification

Indexed keywords

CONTROL CHARTS; CRITICAL FACTORS; ENGINEERING KNOWLEDGE; ENGINEERING-DRIVEN RULES; FIXTURE FAULTS; HYBRID LEARNING ALGORITHM; MACHINING PROCESS; MOTION PATTERN; MULTIVARIATE STATISTICAL PROCESS MONITORING; PATTERN MATCH; PRODUCT QUALITY; PRODUCTION TIME; ROBUST APPROACHES; ROOT CAUSE;

DIGITAL STORAGE; ENGINEERING; MACHINING; MACHINING CENTERS; TIME AND MOTION STUDY;

LEARNING ALGORITHMS;

EID: 84870864793     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-010-0498-9     Document Type: Article

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