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Volumn 2557, Issue , 2002, Pages 487-497

Feature extraction and selection in tool condition monitoring system

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONDITION MONITORING; CUTTING TOOLS; EXTRACTION; MONITORING;

EID: 84867939517     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36187-1_43     Document Type: Conference Paper
Times cited : (23)

References (24)
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  • 3
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  • 4
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    • In-process tool wear and chip-form monitoring in face milling operation using acoustic emission
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    • A new approach to automatic detection of life of coated tool based on acoustic emission measurement
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  • 8
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    • Application of acoustic emission to the automatic monitoring of tool condition during machining
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    • Roget, J.1    Souquet, P.2    Gsib, N.3
  • 9
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    • Dornfeld, D.A.1
  • 10
    • 0025476275 scopus 로고
    • A study on acoustic emission from the orthogonal cutting process
    • Blum, T., Inasaki, I.: A Study on Acoustic Emission from the Orthogonal Cutting Process, ASME Trans. Journal of Engineering for Industry 112 (3) (1990) 203-211.
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    • Blum, T.1    Inasaki, I.2
  • 11
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    • Ph.D. thesis, Manufacturing and Machine Tools Division, Department of Mechanical Engineering, UMIST, Manchester, UK
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    • An intelligent Sensor System Approach for Reliable tool flank wear recognition
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.