Type-2 fuzzy modeling for acoustic emission signal in precision manufacturing

Modelling and Simulation in Engineering

Volumn 2011, Issue , 2011, Pages

  Ren, Qun ^a   Baron, Luc ^a   Balazinski, Marek ^a  

^a ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CUTTING TOOLS; FUZZY LOGIC; MACHINING; MANUFACTURE; WEAR OF MATERIALS;

ACOUSTIC EMISSION SIGNAL; MACHINING PROCESS; PRECISION MACHINING; PRECISION MANUFACTURING; TOOL CONDITION; TYPE-2 FUZZY; TYPE-2 FUZZY LOGIC; TYPE-2 FUZZY MODELING;

ACOUSTIC EMISSION TESTING;

EID: 80053484581     PISSN: 16875591     EISSN: 16875605     Source Type: Journal    
DOI: 10.1155/2011/696947     Document Type: Article

References (49)

1. Wang L. H., Gao R. X., Condition Monitoring and Control for Intelligent Manufacturing 2006 New York, NY, USA Springer Springer Series in Advanced Manufacturing. ISBN: 978-1-84628-268-3
2. Iwata K., Moriwaki T., Application of acoustic emission measurement to in-process sensing of tool wear Annals of the CIRP 1977 26 1-2 19 23
3. Liang S. Y., Dornfeld D. A., Tool wear detection using time series analysis of acoustic emission Journal of Engineering for Industry 1989 111 3 199 205
4. Ravindra H. V., Srinivasa Y. G., Krishnamurthy R., Acoustic emission for tool condition monitoring in metal cutting Wear 1997 212 1 78 84 (Pubitemid 127408316)
5. Emel E., Kannatey-Asibu E., Tool failure monitoring in turning by pattern recognition analysis of AE signals Journal of Engineering for Industry 1988 110 2 137 145 (Pubitemid 18620370)
6. Li X., Yuan Z., Tool wear monitoring with wavelet packet transform-fuzzy clustering method Wear 1998 219 2 145 154 (Pubitemid 29149545)
7. Menon A. K., Boutaghou Z. E., Time-frequency analysis of tribological systemsPart I: implementation and interpretation Tribology International 1998 31 9 501 510
8. Heil C., Walnut D., Continuous and discrete wavelet transforms SIAM Review 1989 31 4 628 666 (Pubitemid 20622818)
9. Serrano E. P., Fabio M. A., Application of the wavelet transform to acoustic emission signals processing IEEE Transactions on Signal Processing 1996 44 5 1270 1275 (Pubitemid 126776474)
10. Kamarthi S. V., Kumara S. R. T., Cohen P. H., Wavelet representation of acoustic emission in turning process Intelligent Engineering Systems Through Artificial Neural Networks 1995 5 861 866
11. Li X., Real-time detection of the breakage of small diameter drills with wavelet transform International Journal of Advanced Manufacturing Technology 1998 14 8 539 543 (Pubitemid 128570930)
12. Nur Tansel I, Mekdeci C., Mclaughlin C., Detection of tool failure in end milling with wavelet transformations and neural networks (WT-NN) International Journal of Machine Tools and Manufacture 1995 35 8 1137 1147
13. Kasashima N., Mori K., Ruiz G. H., Taniguchi N., Online failure detection in face milling using discrete wavelet transform CIRP AnnalsManufacturing Technology 1995 44 1 483 487
14. Li X., A brief review: acoustic emission method for tool wear monitoring during turning International Journal of Machine Tools and Manufacture 2002 42 2 157 165 (Pubitemid 33018898)
15. Darenfed S., Wu S. M., Polynomial learning networks for cutting tool diagnosis in machining operations Transactions of the Canadian Society for Mechanical Engineering 1992 16 2 147 163
16. Quan Y., Zhou M., Luo Z., On-line robust identification of tool-wear via multi-sensor neural-network fusion Engineering Applications of Artificial Intelligence 1998 11 6 717 722 (Pubitemid 128409034)
17. Ren Q., Baron L., Balazinski M., Fuzzy identification of cutting acoustic emission with extended subtractive cluster analysis Nonlinear Dynamics 2011
18. Li X., Yao Y., Yuan Z., On-line tool condition monitoring system with wavelet fuzzy neural network Journal of Intelligent Manufacturing 1997 8 4 271 276 (Pubitemid 127506245)
19. Kuo R. J., Cohen P. H., Intelligent tool wear estimation system through artificial neural networks and fuzzy modeling Artificial Intelligence in Engineering 1998 12 3 229 242 (Pubitemid 128391782)
20. Lezanski P., Intelligent system for grinding wheel condition monitoring Journal of Materials Processing Technology 2001 109 3 258 263 (Pubitemid 32092566)
21. Sun J., Rahman M., Wong Y. S., Hong G. S., Multiclassification of tool wear with support vector machine by manufacturing loss consideration International Journal of Machine Tools and Manufacture 2004 44 11 1179 1187
22. Deiab I., Assaleh K., Hammad F., On modeling of tool wear using sensor fusion and polynomial classifiers Mechanical Systems and Signal Processing 2009 23 5 1719 1729
23. Zadeh L. A., Fuzzy sets Information and Control 1965 8 3 338 353
24. Takagi T., Sugeno M., Fuzzy identification of systems and its applications to modeling and control IEEE Transactions on Systems, Man and Cybernetics 1985 15 1 116 132
25. Sugeno M., Kang G. T., Structure identification of fuzzy model Fuzzy Sets and Systems 1988 28 1 15 33
26. Johansen T. A., Foss B. A., Identification of non-linear system structure and parameters using regime decomposition Automatica 1995 31 2 321 326
27. Fssel D., Ballé P., Isermann R., Closed loop fault diagnosis based on a nonlinear process model and automatic fuzzy rule generation Proceedings of the 4th Fault Detection, Supervision and Safety of Technical Processes 1997
28. Zadeh L. A., The concept of a linguistic variable and its application to approximate reasoning-I Information Sciences 1975 8 3 199 249
29. Mizumoto M., Tanaka K., Fuzzy sets and type 2 under algebraic product and algebraic sum Fuzzy Sets and Systems 1981 5 3 277 290
30. Karnik N. N., Mendel J. M., Introduction to Type-2 fuzzy logic systems Technical report University of Southern California. 1998, http://sipi.usc.edu/- Mendel/report
31. John R., Type 2 fuzzy sets: an appraisal of theory and applications International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems 1998 6 6 563 576 (Pubitemid 128540964)
32. Zadeh L. A., Fuzzy logic = computing with words IEEE Transactions on Fuzzy Systems 1996 4 2 103 111 (Pubitemid 126780540)
33. Zadeh L. A., From computing with numbers to computing with wordsFrom manipulation of measurements to manipulation of perceptions IEEE Transactions on Circuits and Systems 1999 46 1 105 119
34. Mendel J. M., Uncertain Rule-Based Fuzzy logic SystemsIntroduction on New Directions 2001 Upper saddle river, NJ, USA Prentice hall PTR
35. Hagras H., Type-2 FLCs: a new generation of fuzzy controllers IEEE Computational Intelligence Magazine 2007 2 1 30 43 (Pubitemid 46718756)
36. Wu D., Tan W. W., A simplified type-2 fuzzy logic controller for real-time control ISA Transactions 2006 45 4 503 516 (Pubitemid 44672361)
37. Liang Q., Mendel J. M., Introduction to type-2 TSK fuzzy logic systems Proceedings of the IEEE International Fuzzy Systems Conference (FUZZ-IEEE '99) August 1999 Seoul, Korea
38. Mendel J. M., Hagras H., John R. I., Standard background material about interval type-2 fuzzy logic systems that can be used by all authors. http://ieee-cis.org/files/standards.t2.win.pdf
39. Mendel J. M., Advances in type-2 fuzzy sets and systems Information Sciences 2007 177 1 84 110 (Pubitemid 44566500)
40. Qun R., Baron L., Balazinski M., Type-2 takagi-sugeno-kang fuzzy logic modeling using subtractive clustering Proceedings of the 25th Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS '06) June 2006 Montreal, Canada 120 125
41. Chiu S. L., Fuzzy model identification based on cluster estimation Journal of Intelligent and Fuzzy Systems 1994 2 267 278
42. Ren Q., Baron L., Jemelniak K., Balazinski M., Tool condition monitoring using the TSK fuzzy approach based on subtractive custering method News Frontiers in Applied Artificial Intelligence 2008 Berlin, Germany Springer 52 61
43. Ren Q., Balazinski M., Baron L., Jemielniak K., TSK fuzzy modeling for tool wear condition in turning processes: an experimental study Engineering Applications of Artificial Intelligence 2011 24 2 260 265
44. Ren Q., Baron L., Jemelniak K., Balazinski M., Acoustic emission signal feature analysis using Type-2 fuzzy logic system Proceedings of the 29th North American Fuzzy Information Processing Society Annual Conference (NAFIPS '10) July 2010 Toronto, Canada 1 6
45. Ren Q., Balazinski M., Baron L., Uncertainty prediction for tool wear condition using type-2 TSK fuzzy approach Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC '09) October 2009 San Antonio, Tex, USA 660 665
46. Ren Q., Baron L., Balazinski M., Application of type-2 fuzzy estimation on uncertainty in machining: an approach on acoustic emission during turning process Proceedings of the 28th Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS '09) June 2009 Cincinnati, Ohio, USA
47. Ren Q., Baron L., Jemelniak K., Balazinski M., Modelling of dynamic micromilling cutting forces using Type-2 fuzzy rule-based system Proceedings of the IEEE World Congress on Computational Intelligence International Conference on Fuzzy Systems (WCCI '10) 2010 Barcelona, Spain 2311 2317
48. Ren Q., Balazinski M., Baron L., Type-2 TSK fuzzy logic system and its type-1 counterpart International Journal of Computer Applications 2011 20 6 8 13
49. Demirli K., Cheng S. X., Muthukumaran P., Subtractive clustering based modeling of job sequencing with parametric search Fuzzy Sets and Systems 2003 137 2 235 270