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Volumn 67, Issue 4, 2012, Pages 2599-2608

Fuzzy identification of cutting acoustic emission with extended subtractive cluster analysis

Author keywords

Acoustic emission; Fuzzy identification; Precision machining; Subtractive clustering; Tool wear

Indexed keywords

FUZZY IDENTIFICATION; FUZZY IDENTIFICATION METHOD; HARD TURNING PROCESS; HIGH PRECISION; LEAST SQUARE ESTIMATION; MACHINING PROCESS; PRECISION MACHINING; SUBTRACTIVE CLUSTERING; TOOL WEAR;

EID: 84858861147     PISSN: 0924090X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11071-011-0173-5     Document Type: Article
Times cited : (24)

References (40)
  • 2
    • 47949118602 scopus 로고    scopus 로고
    • Condition Monitoring and Control for Intelligent Manufacturing
    • Springer Berlin 10.1007/1-84628-269-1 ISBN: 978-1-84628-268-3
    • Wang, L.H., Gao, R.X.: Condition Monitoring and Control for Intelligent Manufacturing. Springer Series in Advanced Manufacturing. Springer, Berlin (2006). ISBN: 978-1-84628-268-3
    • (2006) Springer Series in Advanced Manufacturing
    • Wang, L.H.1    Gao, R.X.2
  • 3
    • 0017730644 scopus 로고
    • Application of acoustic emission measurement to in-process sensing of tool wear
    • K. Iwata T. Moriwaki 1977 Application of acoustic emission measurement to in-process sensing of tool wear CIRP Ann. 26 1-2 19 23
    • (1977) CIRP Ann. , vol.26 , Issue.12 , pp. 19-23
    • Iwata, K.1    Moriwaki, T.2
  • 4
    • 0024716327 scopus 로고
    • Tool wear detection using time series analysis of acoustic emission
    • 10.1115/1.3188750
    • S. Liang D. Dornfeld 1989 Tool wear detection using time series analysis of acoustic emission J. Eng. Ind. Trans. ASME 111 3 199 205 10.1115/1.3188750
    • (1989) J. Eng. Ind. Trans. ASME , vol.111 , Issue.3 , pp. 199-205
    • Liang, S.1    Dornfeld, D.2
  • 5
    • 55649120206 scopus 로고    scopus 로고
    • A time-frequency acoustic emission-based monitoring technique to identify workpiece surface malfunctions in milling with multiple teeth cutting simultaneously
    • 10.1016/j.ijmachtools.2008.08.002
    • I. Marinescu D. Axinte 2009 A time-frequency acoustic emission-based monitoring technique to identify workpiece surface malfunctions in milling with multiple teeth cutting simultaneously Int. J. Mach. Tools Manuf. 49 1 53 65 10.1016/j.ijmachtools.2008.08.002
    • (2009) Int. J. Mach. Tools Manuf. , vol.49 , Issue.1 , pp. 53-65
    • Marinescu, I.1    Axinte, D.2
  • 6
    • 77953621176 scopus 로고    scopus 로고
    • Analysis of metal cutting acoustic emissions by time series models
    • 10.1007/s00170-009-2357-4
    • F. Polito A. Petri G. Pontuale F. Dalton 2010 Analysis of metal cutting acoustic emissions by time series models Int. J. Adv. Manuf. Technol. 48 9-12 897 903 10.1007/s00170-009-2357-4
    • (2010) Int. J. Adv. Manuf. Technol. , vol.48 , Issue.912 , pp. 897-903
    • Polito, F.1    Petri, A.2    Pontuale, G.3    Dalton, F.4
  • 7
    • 55849144005 scopus 로고    scopus 로고
    • Numerical determination of modal dispersion and AE signal characterization in waveguides through LBIE/BEM and time-frequency analysis
    • 1162.76364 10.1007/s00466-008-0318-7
    • V. Vavourakis V.I.C. Protopappas D. Fotiadis D. Polyzos 2009 Numerical determination of modal dispersion and AE signal characterization in waveguides through LBIE/BEM and time-frequency analysis Comput. Mech. 43 3 431 441 1162.76364 10.1007/s00466-008-0318-7
    • (2009) Comput. Mech. , vol.43 , Issue.3 , pp. 431-441
    • Vavourakis, V.1    Protopappas, V.I.C.2    Fotiadis, D.3    Polyzos, D.4
  • 8
    • 0024017082 scopus 로고
    • Tool failure monitoring in turning by pattern recognition analysis of AE signal
    • 10.1115/1.3187862
    • E. Emel Jr.E. Kannatey-Asibu 1988 Tool failure monitoring in turning by pattern recognition analysis of AE signal Trans. ASME J. Eng. Ind. 110 137 145 10.1115/1.3187862
    • (1988) Trans. ASME J. Eng. Ind. , vol.110 , pp. 137-145
    • Emel, E.1    Kannatey-Asibu, Jr.E.2
  • 9
    • 0032173121 scopus 로고    scopus 로고
    • Tool wear monitoring with wavelet packet transform-fuzzy clustering method
    • 10.1016/S0043-1648(98)00165-3
    • X. Li Z. Yuan 1998 Tool wear monitoring with wavelet packet transform-fuzzy clustering method Wear 219 2 145 154 10.1016/S0043-1648(98) 00165-3
    • (1998) Wear , vol.219 , Issue.2 , pp. 145-154
    • Li, X.1    Yuan, Z.2
  • 11
    • 0032270323 scopus 로고    scopus 로고
    • Time-frequency analysis of tribological systems-part I: Implementation and interpretation
    • 10.1016/S0301-679X(98)00055-3
    • A. Menon Z. Boutaghou 1998 Time-frequency analysis of tribological systems-part I: implementation and interpretation Tribol. Int. 31 9 501 510 10.1016/S0301-679X(98)00055-3
    • (1998) Tribol. Int. , vol.31 , Issue.9 , pp. 501-510
    • Menon, A.1    Boutaghou, Z.2
  • 12
    • 0024903928 scopus 로고
    • Continuous and discrete wavelet transforms
    • 1025485 0683.42031 10.1137/1031129
    • C. Heil D. Walnut 1989 Continuous and discrete wavelet transforms SIAM Rev. 31 4 628 666 1025485 0683.42031 10.1137/1031129
    • (1989) SIAM Rev. , vol.31 , Issue.4 , pp. 628-666
    • Heil, C.1    Walnut, D.2
  • 13
    • 0030146601 scopus 로고    scopus 로고
    • Application of the wavelet transform to acoustic emission signals processing
    • 10.1109/78.502340
    • E. Serrano M. Fabio 1996 Application of the wavelet transform to acoustic emission signals processing IEEE Trans. Signal Process. 44 5 1270 1275 10.1109/78.502340
    • (1996) IEEE Trans. Signal Process. , vol.44 , Issue.5 , pp. 1270-1275
    • Serrano, E.1    Fabio, M.2
  • 15
    • 0031643261 scopus 로고    scopus 로고
    • Real-time detection of the breakage of small diameter drills with wavelet transform
    • 10.1007/BF01301696
    • X. Li 1998 Real-time detection of the breakage of small diameter drills with wavelet transform Int. J. Adv. Manuf. Technol. 14 8 539 543 10.1007/BF01301696
    • (1998) Int. J. Adv. Manuf. Technol. , vol.14 , Issue.8 , pp. 539-543
    • Li, X.1
  • 16
    • 68249156474 scopus 로고    scopus 로고
    • Wavelet packet decomposition for the identification of corrosion type from acoustic emission signals
    • 1178.94165 10.1142/S0219691309003069
    • G. Van Dijck M. Wevers M. Van Hulle 2009 Wavelet packet decomposition for the identification of corrosion type from acoustic emission signals Int. J. Wavelets Multiresolut. Inf. Process. 7 4 513 534 1178.94165 10.1142/ S0219691309003069
    • (2009) Int. J. Wavelets Multiresolut. Inf. Process. , vol.7 , Issue.4 , pp. 513-534
    • Van Dijck, G.1    Wevers, M.2    Van Hulle, M.3
  • 17
    • 0029210696 scopus 로고
    • Online failure detection in face milling using discrete wavelet transform
    • 10.1016/S0007-8506(07)62368-3
    • N. Kasashima K. Mori H.G. Ruiz N. Taniguchi 1995 Online failure detection in face milling using discrete wavelet transform CIRP Ann. 44 1 483 487 10.1016/S0007-8506(07)62368-3
    • (1995) CIRP Ann. , vol.44 , Issue.1 , pp. 483-487
    • Kasashima, N.1    Mori, K.2    Ruiz, H.G.3    Taniguchi, N.4
  • 18
    • 77957844563 scopus 로고    scopus 로고
    • Detection process approach of tool wear in high speed milling
    • 10.1016/j.measurement.2010.08.014
    • M. Kious A. Ouahabi M. Boudraa R. Serra A. Cheknane 2010 Detection process approach of tool wear in high speed milling Measurement 43 10 1439 1446 10.1016/j.measurement.2010.08.014
    • (2010) Measurement , vol.43 , Issue.10 , pp. 1439-1446
    • Kious, M.1    Ouahabi, A.2    Boudraa, M.3    Serra, R.4    Cheknane, A.5
  • 19
    • 78651282656 scopus 로고    scopus 로고
    • Tool wear monitoring using acoustic emissions by dominant-feature identification
    • 10.1109/TIM.2010.2050974
    • J.H. Zhou C.K. Pang Z.W. Zhong F.L. Lewis 2011 Tool wear monitoring using acoustic emissions by dominant-feature identification IEEE Trans. Instrum. Meas. 60 2 547 559 10.1109/TIM.2010.2050974
    • (2011) IEEE Trans. Instrum. Meas. , vol.60 , Issue.2 , pp. 547-559
    • Zhou, J.H.1    Pang, C.K.2    Zhong, Z.W.3    Lewis, F.L.4
  • 20
    • 71949128953 scopus 로고    scopus 로고
    • Multiple classification of the acoustic emission signals extracted during burn and chatter anomalies using genetic programming
    • 10.1007/s00170-009-2026-7
    • J.M. Griffin X. Chen 2009 Multiple classification of the acoustic emission signals extracted during burn and chatter anomalies using genetic programming Int. J. Adv. Manuf. Technol. 45 11-12 1152 1168 10.1007/s00170-009- 2026-7
    • (2009) Int. J. Adv. Manuf. Technol. , vol.45 , Issue.1112 , pp. 1152-1168
    • Griffin, J.M.1    Chen, X.2
  • 21
    • 0036027418 scopus 로고    scopus 로고
    • A brief review: Acoustic emission method for tool wear monitoring during turning
    • 10.1016/S0890-6955(01)00108-0
    • X. Li 2002 A brief review: acoustic emission method for tool wear monitoring during turning Int. J. Mach. Tools Manuf. 42 2 157 165 10.1016/S0890-6955(01)00108-0
    • (2002) Int. J. Mach. Tools Manuf. , vol.42 , Issue.2 , pp. 157-165
    • Li, X.1
  • 22
    • 0026491279 scopus 로고
    • Polynomial learning networks for cutting tool diagnosis in machining operations
    • S. Darenfed S. Wu 1992 Polynomial learning networks for cutting tool diagnosis in machining operations Trans. Can. Soc. Mech. Eng. 16 2 147 163
    • (1992) Trans. Can. Soc. Mech. Eng. , vol.16 , Issue.2 , pp. 147-163
    • Darenfed, S.1    Wu, S.2
  • 23
    • 0032315194 scopus 로고    scopus 로고
    • On-line robust identification of tool-wear via multi-sensor neural-network fusion
    • 10.1016/S0952-1976(98)00046-3
    • Y. Quan M. Zhou Z. Luo 1998 On-line robust identification of tool-wear via multi-sensor neural-network fusion Eng. Appl. Artif. Intell. 11 6 717 722 10.1016/S0952-1976(98)00046-3
    • (1998) Eng. Appl. Artif. Intell. , vol.11 , Issue.6 , pp. 717-722
    • Quan, Y.1    Zhou, M.2    Luo, Z.3
  • 24
    • 48249084193 scopus 로고    scopus 로고
    • In-process monitoring of drilling burr formation using acoustic emission and a wavelet-based artificial neural network
    • 1159.90375 10.1080/00207540601152040
    • S.H. Lee D. Lee 2008 In-process monitoring of drilling burr formation using acoustic emission and a wavelet-based artificial neural network Int. J. Prod. Res. 46 17 4871 4888 1159.90375 10.1080/00207540601152040
    • (2008) Int. J. Prod. Res. , vol.46 , Issue.17 , pp. 4871-4888
    • Lee, S.H.1    Lee, D.2
  • 26
    • 80053484581 scopus 로고    scopus 로고
    • Type-2 fuzzy modeling for acoustic emission signal in precision manufacturing
    • 696947 doi: 10.1155/2011/696947
    • Ren, Q., Baron, L., Balazinski, M.: Type-2 fuzzy modeling for acoustic emission signal in precision manufacturing. Model. Simul. Eng. 2011(696947) (2011). doi: 10.1155/2011/696947
    • (2011) Model. Simul. Eng. , vol.2011
    • Ren, Q.1    Baron, L.2    Balazinski, M.3
  • 27
    • 0031198399 scopus 로고    scopus 로고
    • On-line tool condition monitoring system with wavelet fuzzy neural network
    • 10.1023/A:1018585527465
    • Y.Y. Li Z. Yuan 1997 On-line tool condition monitoring system with wavelet fuzzy neural network J. Intell. Manuf. 8 271 276 10.1023/A:1018585527465
    • (1997) J. Intell. Manuf. , vol.8 , pp. 271-276
    • Li, Y.Y.1    Yuan, Z.2
  • 28
    • 0032122963 scopus 로고    scopus 로고
    • Intelligent tool wear estimation system through artifice neural networks and fuzzy modeling
    • 10.1016/S0954-1810(97)00027-7
    • R.J. Kuo P.H. Cohen 1998 Intelligent tool wear estimation system through artifice neural networks and fuzzy modeling Artif. Intell. Eng. 12 3 229 242 10.1016/S0954-1810(97)00027-7
    • (1998) Artif. Intell. Eng. , vol.12 , Issue.3 , pp. 229-242
    • Kuo, R.J.1    Cohen, P.H.2
  • 29
    • 0035254604 scopus 로고    scopus 로고
    • An intelligent system for grinding wheel condition monitoring
    • 10.1016/S0924-0136(00)00808-6
    • P. Lezanski 2001 An intelligent system for grinding wheel condition monitoring J. Mater. Process. Technol. 109 3 258 263 10.1016/S0924-0136(00) 00808-6
    • (2001) J. Mater. Process. Technol. , vol.109 , Issue.3 , pp. 258-263
    • Lezanski, P.1
  • 30
    • 2942642522 scopus 로고    scopus 로고
    • Multiclassification of tool wear with support vector machine by manufacturing loss consideration
    • 10.1016/j.ijmachtools.2004.04.003
    • J. Sun M. Rahman Y.S. Wong G.S. Hong 2004 Multiclassification of tool wear with support vector machine by manufacturing loss consideration Int. J. Mach. Tools Manuf. 44 11 1179 1187 10.1016/j.ijmachtools.2004.04.003
    • (2004) Int. J. Mach. Tools Manuf. , vol.44 , Issue.11 , pp. 1179-1187
    • Sun, J.1    Rahman, M.2    Wong, Y.S.3    Hong, G.S.4
  • 31
    • 63449103709 scopus 로고    scopus 로고
    • On modeling of tool wear using sensor fusion and polynomial classifiers
    • 10.1016/j.ymssp.2009.02.001
    • I. Deiab K. Assaleh F. Hammad 2009 On modeling of tool wear using sensor fusion and polynomial classifiers Mech. Syst. Signal Process. 23 5 1719 1729 10.1016/j.ymssp.2009.02.001
    • (2009) Mech. Syst. Signal Process. , vol.23 , Issue.5 , pp. 1719-1729
    • Deiab, I.1    Assaleh, K.2    Hammad, F.3
  • 32
    • 67349190532 scopus 로고    scopus 로고
    • Tool wear monitoring of micro-milling operations
    • 10.1016/j.jmatprotec.2009.01.013
    • M. Malekian S.S. Park M.B.G. Jun 2009 Tool wear monitoring of micro-milling operations J. Mater. Process. Technol. 209 10 4903 4914 10.1016/j.jmatprotec.2009.01.013
    • (2009) J. Mater. Process. Technol. , vol.209 , Issue.10 , pp. 4903-4914
    • Malekian, M.1    Park, S.S.2    Jun, M.B.G.3
  • 33
    • 34248666540 scopus 로고
    • Fuzzy sets
    • 219427 0139.24606 10.1016/S0019-9958(65)90241-X
    • L.A. Zadeh 1965 Fuzzy sets Inf. Control 8 338 353 219427 0139.24606 10.1016/S0019-9958(65)90241-X
    • (1965) Inf. Control , vol.8 , pp. 338-353
    • Zadeh, L.A.1
  • 34
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • 0576.93021
    • T. Takagi M. Sugeno 1985 Fuzzy identification of systems and its applications to modeling and control IEEE Trans. Syst. Man Cybern. 15 1 116 132 0576.93021
    • (1985) IEEE Trans. Syst. Man Cybern. , vol.15 , Issue.1 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 35
    • 45449126257 scopus 로고
    • Structure identification of fuzzy model
    • 961132 0652.93010 10.1016/0165-0114(88)90113-3
    • M. Sugeno G. Kang 1988 Structure identification of fuzzy model Fuzzy Sets Syst. 28 1 15 33 961132 0652.93010 10.1016/0165-0114(88)90113-3
    • (1988) Fuzzy Sets Syst. , vol.28 , Issue.1 , pp. 15-33
    • Sugeno, M.1    Kang, G.2
  • 36
    • 0029247140 scopus 로고
    • Identification of non-linear system structure and parameters using regime decomposition
    • 1315144 0825.93114 10.1016/0005-1098(94)00096-2
    • T. Johansen B. Foss 1995 Identification of non-linear system structure and parameters using regime decomposition Automatic 31 2 321 326 1315144 0825.93114 10.1016/0005-1098(94)00096-2
    • (1995) Automatic , vol.31 , Issue.2 , pp. 321-326
    • Johansen, T.1    Foss, B.2
  • 37
    • 84974743850 scopus 로고
    • Fuzzy model identification based on cluster estimation
    • 1829880
    • S.L. Chiu 1994 Fuzzy model identification based on cluster estimation J. Intell. Fuzzy Syst. 2 267 278 1829880
    • (1994) J. Intell. Fuzzy Syst. , vol.2 , pp. 267-278
    • Chiu, S.L.1
  • 38
    • 0038209390 scopus 로고    scopus 로고
    • Subtractive clustering based on modelling of job sequencing with parametric search
    • 1996547 1027.90043 10.1016/S0165-0114(02)00364-0
    • K. Demirli S.X. Cheng P. Muthukumaran 2003 Subtractive clustering based on modelling of job sequencing with parametric search Fuzzy Sets Syst. 137 235 270 1996547 1027.90043 10.1016/S0165-0114(02)00364-0
    • (2003) Fuzzy Sets Syst. , vol.137 , pp. 235-270
    • Demirli, K.1    Cheng, S.X.2    Muthukumaran, P.3
  • 39
    • 48349148113 scopus 로고    scopus 로고
    • Tool condition monitoring using the tsk fuzzy approach based on subtractive clustering method
    • Springer Berlin. 10.1007/978-3-540-69052-8-6
    • Ren, Q., Baron, L., Balazinski, M., Jemelniak, K.: Tool condition monitoring using the tsk fuzzy approach based on subtractive clustering method. In: News Frontiers in Applied Artificial Intelligence, pp. 52-61. Springer, Berlin (2008)
    • (2008) News Frontiers in Applied Artificial Intelligence , pp. 52-61
    • Ren, Q.1    Baron, L.2    Balazinski, M.3    Jemelniak, K.4
  • 40
    • 79151484092 scopus 로고    scopus 로고
    • TSK fuzzy modeling for tool wear condition in turning processes: An experimental study
    • 10.1016/j.engappai.2010.10.016
    • Q. Ren L. Baron M. Balazinski K. Jemelniak 2011 TSK fuzzy modeling for tool wear condition in turning processes: an experimental study Eng. Appl. Artif. Intell. 24 2 260 265 10.1016/j.engappai.2010.10.016
    • (2011) Eng. Appl. Artif. Intell. , vol.24 , Issue.2 , pp. 260-265
    • Ren, Q.1    Baron, L.2    Balazinski, M.3    Jemelniak, K.4


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