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Volumn 11, Issue 6, 1998, Pages 717-722

On-line robust identification of tool-wear via multi-sensor neural-network fusion

Author keywords

Automated manufacturing; Machining processes; Neural networks; Sensor fusion; Tool wear identification

Indexed keywords

ALGORITHMS; BACKPROPAGATION; MACHINING; REAL TIME SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); SENSOR DATA FUSION; SENSORS; WEAR OF MATERIALS;

EID: 0032315194     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0952-1976(98)00046-3     Document Type: Article
Times cited : (27)

References (14)
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  • 2
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    • A dynamic model for on-line tool-wear estimation in turning
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  • 3
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    • Automated monitoring of manufacturing processes, Part 1: Monitoring methods and Part 2. Applications
    • Du, R., Elbestawi, M.A., Wu, S.M., 1995. Automated monitoring of manufacturing processes, Part 1: monitoring methods and Part 2. Applications. Trans. of ASME, J. Engng Ind. 117, 121-141.
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    • Du, R.1    Elbestawi, M.A.2    Wu, S.M.3
  • 5
    • 0029305549 scopus 로고
    • A customized neural network for sensor fusion in on-line monitoring of cutting tool-wear
    • Leem, C.S., Dornfeld, D.A., Dreyfus, S.E., 1995. A customized neural network for sensor fusion in on-line monitoring of cutting tool-wear. Trans, of ASME, J. Engng Ind. 117, 152-159.
    • (1995) Trans, of ASME, J. Engng Ind. , vol.117 , pp. 152-159
    • Leem, C.S.1    Dornfeld, D.A.2    Dreyfus, S.E.3
  • 7
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    • Tool-wear detection using time series analysis of acoustic emission
    • Liang, S.Y., Dornfield, D.A., 1989. Tool-wear detection using time series analysis of acoustic emission. Trans, of ASME, J. Engng. Ind. 111 (3), 199-205.
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    • Liang, S.Y.1    Dornfield, D.A.2
  • 8
    • 0346790949 scopus 로고
    • Application of higher polynomial with variable coefficients (HPVC) to investigation on tool-wear and fracture fusion model in monitoring the cutting process of turning and end-milling
    • Wuhan, China
    • Luo, Z., Quan, Y. et al., 1993. Application of higher polynomial with variable coefficients (HPVC) to investigation on tool-wear and fracture fusion model in monitoring the cutting process of turning and end-milling. In: Proc. Second Int. Symp. on Measurement Technology and Intelligent Instrument (ISMTIF93). Wuhan, China.
    • (1993) Proc. Second Int. Symp. on Measurement Technology and Intelligent Instrument (ISMTIF93)
    • Luo, Z.1    Quan, Y.2
  • 9
    • 0026225163 scopus 로고
    • Monitoring Machining Processes Using Multi-Sensor Readings Fused by Artificial NN
    • Masory, O., 1991. Monitoring Machining Processes Using Multi-Sensor Readings Fused by Artificial NN. J. of Mtl. Processing and Tech 28 (1), 231-240.
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  • 11
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    • Sensor integration using neural networks for intelligent tool condition monitoring
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    • Rangwala, S.1    Dornfeld, D.2
  • 12
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    • Scope of in-process measurement, monitoring and control techniques: For machining processes - Part 1: in-process techniques for tools
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  • 13
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    • Design of artificial neural network for tool-wear monitoring
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.