메뉴 건너뛰기




Volumn 134, Issue 3, 2012, Pages

Machine tool condition monitoring based on an adaptive Gaussian mixture model

Author keywords

adaptive learning; Gaussian mixture model; similarity measure; tool condition monitoring

Indexed keywords

CUTTING TOOLS; GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; MACHINE TOOLS; WEAR OF MATERIALS;

EID: 84860489608     PISSN: 10871357     EISSN: 15288935     Source Type: Journal    
DOI: 10.1115/1.4006093     Document Type: Article
Times cited : (40)

References (38)
  • 1
    • 39449119738 scopus 로고    scopus 로고
    • Noise-robust tool condition monitoring in micro-milling with hidden markov models
    • Zhu, K. P., Wong, Y. S., and Hong, G. S., 2008, "Noise-Robust Tool Condition Monitoring in Micro-Milling With Hidden Markov Models," Soft Comput. Appl. Ind., STUDFUZZ 226(23-46d), pp. 23-46.
    • (2008) Soft Comput. Appl. Ind., STUDFUZZ 226(23-46d , pp. 23-46
    • Zhu, K.P.1    Wong, Y.S.2    Hong, G.S.3
  • 4
    • 0034174159 scopus 로고    scopus 로고
    • On-line metal cutting tool condition monitoring. I: force and vibration analyses
    • DOI 10.1016/S0890-6955(99)00084-X
    • Dimla, D. E., Sr., and Lister, P. M., 2000, "On-Line Metal Cutting Tool Condition Monitoring I: Force and Vibration Analysis," Int. J. Mach. Tools Manuf., 40(5), pp. 739-768. (Pubitemid 30560172)
    • (2000) International Journal of Machine Tools and Manufacture , vol.40 , Issue.5 , pp. 739-768
    • Dimla Sr., D.E.1    Lister, P.M.2
  • 5
    • 0033728441 scopus 로고    scopus 로고
    • Sensor signals for tool wear monitoring in metal cutting operations-review of methods
    • Dimla, D. E., Sr., 2000, "Sensor Signals for Tool Wear Monitoring in Metal Cutting Operations-Review of Methods," Int. J. Mach. Tools Manuf., 40(8), pp. 1073-1098.
    • (2000) Int. J. Mach. Tools Manuf. , vol.40 , Issue.8 , pp. 1073-1098
    • Dimla Sr., D.E.1
  • 6
    • 0033075618 scopus 로고    scopus 로고
    • Acoustic emission monitoring of tool wear in end-milling using time-domain averaging
    • Hutton, D. V., and Hu, F., 1999, "Acoustic Emission Monitoring of Tool Wear in End-Milling Using Time-Domain Averaging," ASME J. Manuf. Sci. Eng., 121(1), pp. 8-12.
    • (1999) ASME J. Manuf. Sci. Eng. , vol.121 , Issue.1 , pp. 8-12
    • Hutton, D.V.1    Hu, F.2
  • 7
    • 4544374968 scopus 로고    scopus 로고
    • Vibration analysis in high speed rough and finish milling hardened steel
    • Toh, C. K., 2004, "Vibration Analysis in High Speed Rough and Finish Milling Hardened Steel," J. Sound Vib., 278(1-2), pp. 101-115.
    • (2004) J. Sound Vib. , vol.278 , Issue.1-2 , pp. 101-115
    • Toh, C.K.1
  • 9
    • 10444225451 scopus 로고    scopus 로고
    • Tool break detection using support vector machine learning in a milling process
    • Cho, S., Asfour, S., Onar, A., and Kaundinya, N., 2005, "Tool Break Detection using Support Vector Machine Learning in a Milling Process," Int. J. Mach. Tools Manuf., 45(3), pp. 241-249.
    • (2005) Int. J. Mach. Tools Manuf. , vol.45 , Issue.3 , pp. 241-249
    • Cho, S.1    Asfour, S.2    Onar, A.3    Kaundinya, N.4
  • 10
    • 0033671505 scopus 로고    scopus 로고
    • Assessment of machining features for tool condition monitoring in face milling using artificial neural network
    • Dutta, R. K., Kiran, G., Paul, S., and Chattopadhyay, A. B., 2000, "Assessment of Machining Features for Tool Condition Monitoring in Face Milling Using Artificial Neural Network," J. Eng. Manuf., Proc. Inst. Mech. Eng. B, 214(7), pp. 535-546.
    • (2000) J. Eng. Manuf., Proc. Inst. Mech. Eng. B , vol.214 , Issue.7 , pp. 535-546
    • Dutta, R.K.1    Kiran, G.2    Paul, S.3    Chattopadhyay, A.B.4
  • 12
    • 0034633398 scopus 로고    scopus 로고
    • Fuzzy controlled backpropagation neural network for tool condition monitoring in face milling
    • DOI 10.1080/00207540050117404
    • Dutta, R. K., Paul, S., and Chattopadhyay, A. B., 2000, "Fuzzy Controlled Back Propagation Neural Network for Tool Condition Monitoring in Face Milling," Int. J. Product. Res., 38(13), pp. 2989-3010. (Pubitemid 35401974)
    • (2000) International Journal of Production Research , vol.38 , Issue.13 , pp. 2989-3010
    • Dutta, R.K.1    Paul, S.2    Chattopadhyay, A.B.3
  • 13
    • 34249721512 scopus 로고    scopus 로고
    • Cutting force-based real-time estimation of tool wear in face milling using a combination of signal processing techniques
    • DOI 10.1016/j.ymssp.2007.01.004, PII S0888327007000088
    • Bhattacharyya, P., Sengupta, D., and Mukhopadhyay, S., 2007, "Cutting Force-Based Real-Time Estimation of Tool Wear in Face Milling Using a Combination of Signal Processing Techniques," Mech. Syst. Signal Process., 21(6), pp. 2665-2683. (Pubitemid 46829761)
    • (2007) Mechanical Systems and Signal Processing , vol.21 , Issue.6 , pp. 2665-2683
    • Bhattacharyya, P.1    Sengupta, D.2    Mukhopadhyay, S.3
  • 14
    • 74249115778 scopus 로고    scopus 로고
    • Application of soft computing techniques in machining performance prediction and optimization: A literature review
    • Chandrasekaran, M., Muralidhar, M., Murali Krishna, C., and Dixit, U. S., 2010, "Application of Soft Computing Techniques in Machining Performance Prediction and Optimization: A Literature Review," Int. J. Adv. Manuf. Technol., 46(5-8), pp. 445-464.
    • (2010) Int. J. Adv. Manuf. Technol. , vol.46 , Issue.5-8 , pp. 445-464
    • Chandrasekaran, M.1    Muralidhar, M.2    Murali Krishna, C.3    Dixit, U.S.4
  • 15
    • 77249125824 scopus 로고    scopus 로고
    • A review of machining monitoring systems based on artificial intelligence process models
    • Abellan-Nebot, J. V., and Subirón, F. R., 2010, "A Review of Machining Monitoring Systems Based on Artificial Intelligence Process Models," Int. J. Adv. Manuf. Technol., 47(1-4), pp. 237-257.
    • (2010) Int. J. Adv. Manuf. Technol. , vol.47 , Issue.1-4 , pp. 237-257
    • Abellan-Nebot, J.V.1    Subirón, F.R.2
  • 16
    • 0031268934 scopus 로고    scopus 로고
    • Self-organizing feature maps and hidden Markov models for machine-tool monitoring
    • PII S1053587X97080641
    • Owsley, L. M. D., Atlas L. E. and Bernard, G. D., 1997, "Self-Organizing Feature Maps and Hidden Markov Models for Machine-Tool Monitoring," IEEE Trans. Signal Process., 45(11), pp. 2787-2798. (Pubitemid 127766348)
    • (1997) IEEE Transactions on Signal Processing , vol.45 , Issue.11 , pp. 2787-2798
    • Owsley, L.M.D.1    Atlas, L.E.2    Bernard, G.D.3
  • 19
    • 0033909199 scopus 로고    scopus 로고
    • Data fusion neural network for tool condition monitoring in CNC milling machining
    • DOI 10.1016/S0890-6955(99)00066-8
    • Chen, S. L., and Jen, Y. W., 2000, "Data Fusion neural Network for Tool Condition Monitoring in CNC Milling Machining," Int. J. Mach. Tools Manuf., 40(3), pp. 381-400. (Pubitemid 30506057)
    • (2000) International Journal of Machine Tools and Manufacture , vol.40 , Issue.3 , pp. 381-400
    • Chen, S.-L.1    Jen, Y.W.2
  • 20
    • 0035400988 scopus 로고    scopus 로고
    • Tool wear condition monitoring in drilling operations using hidden Markov models (HMMs)
    • DOI 10.1016/S0890-6955(00)00112-7, PII S0890695500001127
    • Ertunc, H. M., Loparo, K. A., and Ocak, H., 2001, "Tool Wear Condition Monitoring in Drilling Operations Using Hidden Markov Models (HMMs)," Int. J. Mach. Tools Manuf., 41(9), pp. 1363-1384. (Pubitemid 32303089)
    • (2001) International Journal of Machine Tools and Manufacture , vol.41 , Issue.9 , pp. 1363-1384
    • Ertunc, H.M.1    Loparo, K.A.2    Ocak, H.3
  • 21
    • 77955332244 scopus 로고    scopus 로고
    • Quality and inspection of machining operations-tool condition monitoring
    • Roth, J. T., Djurdjanovic, D., Yang, X., Mears, L., and Kurfess, T., 2010, "Quality and Inspection of Machining Operations-Tool Condition Monitoring," ASME J.Manuf. Sci. Eng., 132(4), pp. 041015-(1-16).
    • (2010) ASME J.Manuf. Sci. Eng. , vol.132 , Issue.4 , pp. 041015-041016
    • Roth, J.T.1    Djurdjanovic, D.2    Yang, X.3    Mears, L.4    Kurfess, T.5
  • 24
    • 77954382543 scopus 로고    scopus 로고
    • Health-state estimation and prognostics in machine processes
    • Camci, F., and Chinnam, R. B., 2010, "Health-State Estimation and Prognostics in Machine Processes," IEEE Trans. Autom. Eng., 7(3), pp. 581-597.
    • (2010) IEEE Trans. Autom. Eng. , vol.7 , Issue.3 , pp. 581-597
    • Camci, F.1    Chinnam, R.B.2
  • 25
    • 84990575058 scopus 로고
    • Orthonormal bases of compact supported wavelets
    • Daubechies, J., 1988, "Orthonormal Bases of Compact Supported Wavelets," Commun. Pure Appl. Math., 41(7), pp. 909-996.
    • (1988) Commun. Pure Appl. Math. , vol.41 , Issue.7 , pp. 909-996
    • Daubechies, J.1
  • 26
    • 68249154748 scopus 로고    scopus 로고
    • Base wavelet selection for bearing vibration signal analysis
    • Yan, R., and Gao, R. X., 2009, "Base Wavelet Selection for Bearing Vibration Signal Analysis," Int. J. Wavelets Multiresolut. Inform. Process., 7(4), pp. 411-426.
    • (2009) Int. J. Wavelets Multiresolut. Inform. Process. , vol.7 , Issue.4 , pp. 411-426
    • Yan, R.1    Gao, R.X.2
  • 27
    • 0344515488 scopus 로고    scopus 로고
    • Engineering surface analysis with different wavelet bases
    • Fu, S., Muralikrishnan, B., and Raja, J., 2003 "Engineering Surface Analysis With Different Wavelet Bases," ASME J. Manuf. Sci. Eng., 125(4), pp. 844-852.
    • (2003) ASME J. Manuf. Sci. Eng. , vol.125 , Issue.4 , pp. 844-852
    • Fu, S.1    Muralikrishnan, B.2    Raja, J.3
  • 28
    • 0029357256 scopus 로고
    • Detection of tool failure in end milling with wavelet transformations and neural networks (wt-nn
    • Tansel, I., Mekdeci, C., and Mclaughlin, C., 1995, "Detection of Tool Failure in End Milling With Wavelet Transformations and Neural Networks (WT-NN)," Int. J. Mach. Tools Manuf., 35(8), pp. 1137-1147.
    • (1995) Int. J. Mach. Tools Manuf. , vol.35 , Issue.8 , pp. 1137-1147
    • Tansel, I.1    Mekdeci, C.2    Mclaughlin, C.3
  • 29
    • 77955324441 scopus 로고    scopus 로고
    • Monitoring machining processes based on discrete wavelet transform and statistical process control
    • Li, X., and Du, R., 2004, "Monitoring Machining Processes Based on Discrete Wavelet Transform and Statistical Process Control," Int. J. Wavelets Multiresolut. Inform. Process., 2(3), pp. 299-311.
    • (2004) Int. J. Wavelets Multiresolut. Inform. Process. , vol.2 , Issue.3 , pp. 299-311
    • Li, X.1    Du, R.2
  • 30
    • 64449086323 scopus 로고    scopus 로고
    • Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results
    • Zhu, K., Wong, Y. S., and Hong, G. S., 2009, "Wavelet Analysis of Sensor Signals for Tool Condition Monitoring: A Review and Some New Results," Int. J. Mach. Tools Manuf., 49(7-8), pp. 537-553.
    • (2009) Int. J. Mach. Tools Manuf. , vol.49 , Issue.7-8 , pp. 537-553
    • Zhu, K.1    Wong, Y.S.2    Hong, G.S.3
  • 31
    • 18144412408 scopus 로고    scopus 로고
    • Effective gaussian mixture learning for video background subtraction
    • Lee, D. S., 2005, "Effective Gaussian Mixture Learning for Video Background Subtraction," IEEE Trans. Pattern Anal. Mach. Intell., 27(5), pp. 827-832.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , Issue.5 , pp. 827-832
    • Lee, D.S.1
  • 33
    • 0002629270 scopus 로고
    • Maximum likelihood estimation from incomplete data via the em algorithm
    • Dempster, A. P., Laird, N. M., and Rubin, D. B., 1977, "Maximum Likelihood Estimation from Incomplete Data via the EM Algorithm," J. R. Stat. Soc., 39(1), pp. 1-38.
    • (1977) J. R. Stat. Soc. , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 35
    • 0242657969 scopus 로고    scopus 로고
    • Competitive EM algorithm for finite mixture models
    • DOI 10.1016/S0031-3203(03)00140-7
    • Zhang, B., Zhang, C., and Yi, X., 2004, "Competitive EM Algorithm for Finite Mixture Models," Pattern Recognit., 37(1), pp. 131-144. (Pubitemid 37418423)
    • (2004) Pattern Recognition , vol.37 , Issue.1 , pp. 131-144
    • Zhang, B.1    Zhang, C.2    Yi, X.3
  • 38
    • 84919903619 scopus 로고    scopus 로고
    • UC Berkeley. NASA Ames Prognostics Data Repository," NASA Ames, Moffett Field, CA
    • Agogino, A., and Goebel, K., 2007, " "Mill Data Set," BEST lab, UC Berkeley. NASA Ames Prognostics Data Repository," NASA Ames, Moffett Field, CA, http://ti.arc.nasa.gov/project/prognostic-data-repository.
    • (2007) Mill Data Set, BEST Lab
    • Agogino, A.1    Goebel, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.