Grinding wheel wear monitoring based on wavelet analysis and support vector machine

International Journal of Advanced Manufacturing Technology

Volumn 62, Issue 1-4, 2012, Pages 107-121

  Yang, Zhensheng ^a   Yu, Zhonghua ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Acoustic emission (AE); Contact detection; Discrete wavelet decomposition; Grinding wheel wear; Process monitoring; Support vector machine (SVM)

Indexed keywords

ACOUSTIC EMISSION SENSORS; AE SIGNALS; CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; CLASSIFICATION SYSTEM; CONTACT DETECTION; CUT DEPTH; DECOMPOSITION LEVEL; DISCRETE WAVELET DECOMPOSITION; FEATURE VECTORS; GRINDING WHEEL WEAR; MONITORING SYSTEM; PRE-PROCESSING METHOD; ROOT MEAN SQUARE;

ACOUSTIC EMISSIONS; DIAMOND CUTTING TOOLS; GRINDING (MACHINING); IMAGE RETRIEVAL; PROCESS MONITORING; WAVELET ANALYSIS; WAVELET DECOMPOSITION;

SUPPORT VECTOR MACHINES;

EID: 84865371806     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-011-3797-1     Document Type: Article

References (24)

1. JFG Oliveira EJ Silva C Guo F Hashimoto 2009 Industrial challenges in grinding CIRP Annu - Manuf Technol 58 663 680 10.1016/j.cirp.2009.09.006 10.1016/j.cirp.2009.09.006
2. RL Kegg 1983 Industrial problems in grinding CIRP Annu - Manuf Technol 32 559 561 10.1016/S0007-8506(07)60183-8 10.1016/S0007-8506(07)60183-8
3. HK Tönshoff T Friemuth JC Becher 2002 Process monitoring in grinding CIRP Annu - Manuf Technol 51 551 571 10.1016/S0007-8506(07)61700-4 10.1016/S0007-8506(07)61700-4
4. DE Lee I Hwang CMO Valente JFG Oliveira DA Dornfeld 2006 Precision manufacturing process monitoring with acoustic emission Int J Mach Tool Manuf 46 176 188 10.1016/j.ijmachtools.2005.04.001 10.1016/j.ijmachtools.2005.04.001 (Pubitemid 41563982)
5. P Lezanski 2001 An intelligent system for grinding wheel condition monitoring J Mater Process Technol 109 258 263 10.1016/S0924-0136(00)00808-6 10.1016/S0924-0136(00)00808-6 (Pubitemid 32092566)
6. TW Liao GG Hua J Qu PJ Blau 2006 Grinding wheel condition monitoring with hidden Markov model-based clustering methods Mach Sci Technol 10 511 538 10.1080/10910340600996175 10.1080/10910340600996175 (Pubitemid 44837694)
7. TW Liao CF Ting J Qu PJ Blau 2007 A wavelet-based methodology for grinding wheel condition monitoring Int J Mach Tool Manuf 47 580 592 10.1016/j.ijmachtools.2006.05.008 10.1016/j.ijmachtools.2006.05.008 (Pubitemid 44908888)
8. TW Liao FM Tang J Qu PJ Blau 2008 Grinding wheel condition monitoring with boosted minimum distance classifiers Mech Syst Signal Process 22 217 232 10.1016/j.ymssp.2007.06.005 10.1016/j.ymssp.2007.06.005 (Pubitemid 350008014)
9. TW Liao 2010 Feature extraction and selection from acoustic emission signals with an application in grinding wheel condition monitoring Eng Appl Artif Intell 23 74 84 10.1016/j.engappai.2009.09.004 10.1016/j.engappai.2009.09. 004
10. A Cakan 2011 Real-time monitoring of flank wear behavior of ceramic cutting tool in turning hardened steels Int J Adv Manuf Technol 52 897 903 10.1007/s00170-010-2793-1 10.1007/s00170-010-2793-1
11. N Subrahmanya YC Shin 2008 Automated sensor selection and fusion for monitoring and diagnostics of plunge grinding J Manuf Sci Eng 130 0310141 03101411 10.1115/1.2927439 10.1115/1.2927439
12. J Sun GS Hong YS Wong M Rahman ZG Wang 2006 Effective training data selection in tool condition monitoring system Int J Mach Tool Manuf 46 218 224 10.1016/j.ijmachtools.2005.04.005 10.1016/j.ijmachtools.2005.04.005 (Pubitemid 41563985)
13. Inasaki I, Sensor fusion for monitoring and controlling grinding processes. Int J Adv Manuf Technol 15:730-736. doi: 10.1007/s001700050125
14. K Jemielniak J Kossakowska 2010 Tool wear monitoring based on wavelet transform of raw acoustic emission signal Adv Manuf Sci Technol 34 5 17
15. J Webster WP Dong R Lindsay 1996 Raw acoustic emission signal analysis of grinding process CIRP Annu - Manuf Technol 45 335 340 10.1016/S0007-8506(07) 63075-3 10.1016/S0007-8506(07)63075-3 (Pubitemid 126601461)
16. ZH Yao DQ Mei ZC Chen 2010 On-line chatter detection and identification based on wavelet and support vector machine J Mater Process Technol 210 713 719 10.1016/j.jmatprotec.2009.11.007 10.1016/j.jmatprotec.2009.11.007
17. R Teti K Jemielniak G O'Donnell D Dornfeld 2010 Advanced monitoring of machining operations CIRP Annu - Manuf Technol 59 717 739 10.1016/j.cirp.2010. 05.010 10.1016/j.cirp.2010.05.010
18. M Farge 1992 Wavelet transforms and their applications to turbulence Annu Rev Fluid Mech 24 395 457 10.1146/annurev.fl.24.010192.002143 1145014 10.1146/annurev.fl.24.010192.002143
19. BN Singh AK Tiwari 2006 Optimal selection of wavelet base function applied to ECG signal denoising Digit Signal Process 16 275 287 10.1016/j.dsp.2005.12.003 10.1016/j.dsp.2005.12.003
20. CJC Burges 1998 A tutorial on support vector machines for pattern recognition Data Min Knowl Discov 2 121 167 10.1023/A:1009715923555 10.1023/A:1009715923555 (Pubitemid 128126769)
21. CC Chang CJ Lin 2011 LIBSVM: a library for support vector machines ACM Trans Intell Syst Technol 2 1 27 10.1145/1961189.1961199 10.1145/2043621.2043626
22. DR Salgado FJ Alonso 2006 Tool wear detection in turning operations using singular spectrum analysis J Mater Process Technol 171 451 458 10.1016/j.jmatprotec.2005.08.005 10.1016/j.jmatprotec.2005.08.005 (Pubitemid 43106625)
23. WB Rowe L Yan I Inasaki S Malkin 1994 Applications of artificial intelligence in grinding CIRP Annu - Manuf Technol 43 258 263 10.1016/S0924-0136(00)00808-6
24. RG Silva KJ Baker SJ Wilcox 2000 The adaptability of a tool wear monitoring system under changing cutting conditions Mech Syst Signal Process 14 287 298 10.1006/mssp.1999.1286 10.1006/mssp.1999.1286