Analysis of feature extracting ability for cutting state monitoring using deep belief networks

Procedia CIRP

Volumn 31, Issue , 2015, Pages 29-34

  Fu, Yang ^a   Zhang, Yun ^a   Qiao, Haiyu ^a   Li, Dequn ^a   Zhou, Huamin ^a   Leopold, Jürgen ^b  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b FRAUNHOFER INSTITUTE FOR MACHINE TOOLS AND FORMING TECHNOLOGY IWU   (Germany)

Author keywords

Cutting states monitoring; Deep belief networks; Feature extraction; Intelligent manufacturing

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; COMPLEX NETWORKS; COMPUTER VISION; FEATURE EXTRACTION; FREQUENCY DOMAIN ANALYSIS; LEARNING SYSTEMS; MACHINING CENTERS; MANUFACTURE; MILLING (MACHINING); SPEECH RECOGNITION; WEAR OF MATERIALS;

AUTOMATIC SPEECH RECOGNITION; CUTTING STATE MONITORING; DEEP BELIEF NETWORKS; FEATURE EXTRACTING METHOD; INFORMATION EXTRACTING; INTELLIGENT MANUFACTURING; MACHINE LEARNING METHODS; TIME AND FREQUENCY DOMAINS;

CUTTING TOOLS;

EID: 84939180924     PISSN: 22128271     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procir.2015.03.016     Document Type: Conference Paper

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