Feature-based tool condition monitoring in a gear shaving application

Proceedings of the ASME International Manufacturing Science and Engineering Conference, MSEC2008

Volumn 2, Issue , 2009, Pages 65-74

  Brzezinski, A J ^a   Wang, Y ^b   Choi, D K ^c   Qiao, X ^a   Ni, J ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c Gangneung Wonju National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CM TECHNIQUES; DATA COLLECTION; DATA-DRIVEN; FEATURE DIMENSIONS; FEATURE FUSION; FEATURE-BASED; GEAR SHAVING; INDUSTRIAL GEARS; MULTI LAYER PERCEPTRON; PRE-PROCESSING; TIME FREQUENCY DOMAIN; TOOL CONDITION; TOOL CONDITION MONITORING; TOOL LIFE; TOOL WEAR;

COLOR; FEATURE EXTRACTION; GEARS; MACHINE TOOLS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; WEAR OF MATERIALS;

CONDITION MONITORING;

EID: 77951542704     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/MSEC_ICMP2008-72297     Document Type: Conference Paper

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