Reliability estimation for cutting tools based on logistic regression model using vibration signals

Mechanical Systems and Signal Processing

Volumn 25, Issue 7, 2011, Pages 2526-2537

  Chen, Baojia ^a   Chen, Xuefeng ^a   Li, Bing ^a   He, Zhengjia ^a   Cao, Hongrui ^a   Cai, Gaigai ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Correlation analysis; Cutting tool; Logistic regression model; Reliability estimation; Wavelet packet decomposition

Indexed keywords

BAND ENERGY; CNC MACHINE; CONDITION PARAMETERS; CORRELATION ANALYSIS; ENERGY-ENTROPY; ESTIMATION METHODS; FAILURE THRESHOLDS; FAILURE TIME; FEATURE FREQUENCIES; LOGISTIC REGRESSION MODEL; LOGISTIC REGRESSION MODELS; MACHINE PERFORMANCE; MANUFACTURING PROCESS; NC LATHE; ON-LINE VIBRATION SIGNALS; OPERATION CONDITIONS; ORIGINAL SIGNAL; RELIABILITY ESTIMATION; SALIENT FEATURES; TIME DOMAIN; TIME-VARYING CHARACTERISTICS; TOOL WEAR; VIBRATION SIGNAL; WAVELET PACKET DECOMPOSITION; WAVELET PACKETS;

COMPUTER CONTROL SYSTEMS; DEGRADATION; EQUIPMENT; ESTIMATION; FEATURE EXTRACTION; FREQUENCY BANDS; MACHINERY; MANUFACTURE; METAL WORKING TOOLS; PROBABILITY DENSITY FUNCTION; REGRESSION ANALYSIS; RELIABILITY ANALYSIS; TIME DOMAIN ANALYSIS; WAVELET ANALYSIS; WAVELET TRANSFORMS;

CUTTING TOOLS;

EID: 79960067557     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2011.03.001     Document Type: Article

References (32)

1. S.A. Spiewak, R. Duggirala, and K. Barnett Predictive monitoring and control of the cold extrusion process Annals of CIRP 49 1 2000 383 386
2. L. Liao, and J. Lee Design of a reconfigurable prognostics platform for machine tools Expert Systems with Applications 37 1 2010 240 252
3. N. Gorjian, L. Ma, M. Mittinty, P. Yarlagadda, Y. Sun, A review on reliability models with covariates, in: Proceedings of the Fourth World Congress on Engineering Asset Management, Athens, Greece, 2009.
4. B. Sick On-line and indirect tool wear monitoring in turning with artificial neural networks: a review of more than a decade of research Mechanical Systems and Signal Processing 16 4 2002 487 546
5. D.E. Dimla Sr., and P.M. Lister On-line metal cutting tool condition monitoring: I: force and vibration analyses International Journal of Machine Tools and Manufacture 40 5 2000 739 768 (Pubitemid 30560172)
6. X. Li A brief review: acoustic emission method for tool wear monitoring during turning International Journal of Machine Tools and Manufacture 42 2 2002 157 165 (Pubitemid 33018898)
7. C. Scheffer, and P.S. Heyns Wear monitoring in turning operations using vibration and strain measurements Mechanical Systems and Signal Processing 15 6 2001 1185 1202 (Pubitemid 34156548)
8. H. Cao, X. Chen, Y. Zi, F. Ding, H. Chen, J. Tan, and Z. He End milling tool breakage detection using lifting scheme and Mahalanobis distance International Journal of Machine Tools and Manufacture 48 2 2008 141 151 (Pubitemid 350016778)
9. D.E. Dimla Snr. The correlation of vibration signal features to cutting tool wear in a metal turning operation The International Journal of Advanced Manufacturing 19 10 2002 705 713 (Pubitemid 34726423)
10. P.D.T. OConnor Commentary: reliability-past, present, and future IEEE Transactions on Reliability 54 1 2005 3 10
11. K. Kwon, and D.M. Frangopol Bridge fatigue reliability assessment using probability density functions of equivalent stress range based on field monitoring data International Journal of Fatigue 32 8 2010 1221 1232
12. M. Haiba, D.C. Barton, P.C. Brooks, and M.C. Levesley Review of life assessment techniques applied to dynamically loaded automotive components Computers & Structures 80 5 2002 481 494 (Pubitemid 34284528)
13. N. Gorjian, L. Ma, M. Mittinty, P. Yarlagadda, Y. Sun, A review on degradation models in reliability analysis, in: Proceedings of the Fourth World Congress on Engineering Asset Management, Athens, Greece, 2009.
14. D. Xu, W. Zhao, Reliability prediction using multivariate degradation data, in: Proceedings of the 51st Annual Reliability and Maintainability Symposium, 2005, pp. 337341.
15. C.J. Lu, and W.Q. Meeker Using degradation measures to estimate a time-to-failure distribution Technometrics 35 2 1993 161 174 (Pubitemid 23705731)
16. Z. Chen, and S. Zheng Lifetime distribution based degradation analysis IEEE Transactions on Reliability 54 1 2005 3 10 (Pubitemid 40400305)
17. R. Chinnam, and B. Rai Computation intelligence in online reliability monitoring Intelligence in Reliability Engineering 40 2007 223 260
18. D. Lin, M. Wiseman, D Banjevic, and A.K.S. Jardine An approach to signal processing and condition-based maintenance for gearboxes subject to tooth failure Mechanical Systems and Signal Processing 18 2004 993 1007
19. C.C. Lin, and H.Y. Tseng. A neural network application for reliability modelling and condition-based predictive maintenance International Journal of Advanced Manufacturing Technology 25 2005 174 179
20. S.W. Menard Applied logistic regression analysis 2002 Sage publication Inc. London, United Kingdom
21. J. Cai, and R. Liu Logistic regression model for isoconversional kinetic analysis of cellulose pyrolysis Energy and Fuels 22 2 2008 867 870
22. P.M. Ridker, R.J. Glynn, and C.H. Hennekens Logistic regression model for determining risks factor for hypertensive disorders in pregnancy WSEAS Transactions on Systems 5 9 2006 2135 2139
23. A. Jalkanen, and U. Mattila Logistic regression models for wind and snow damage in northern Finland based on the National Forest Inventory data Forest Ecology and Management 135 1 2000 315 330
24. F.J. Janzen, and H.S. Stern Logistic regression for empirical studies of multivariate selection Society for the Study of Evolution 52 6 1998 1564 1571 (Pubitemid 29053991)
25. J. Yan, and J. Lee Degradation assessment and fault modes classification using logistic regression Transactions of the ASME, Journal of Manufacturing Science and Engineering 127 4 2005 912 914 (Pubitemid 41680982)
26. H. Liao, W. Zhao, H. Guo, Predicting remaining useful life of an individual unit using proportional hazards model and logistic regression model, in: Proceedings of Annual Reliability and Maintainability Symposium, 2006, pp. 127132. (Pubitemid 46900256)
27. X. Hu, Z. Wang, and X. Ren Classification of surface EMG signal using relative wavelet packet energy Computer Methods and Programs in Biomedicine 79 3 2005 189 195 (Pubitemid 41196685)
28. S. Li, and M.A. Elbestawi Fuzzy clustering for automated tool condition monitoring in machining Mechanical Systems and Signal Processing 10 5 1996 533 550 (Pubitemid 126360950)
29. R.G. Silva, R.L. Reuben, K.J. Baker, and S.J. Wilcox Tool wear monitoring of turning operations by neural network and expert system classification of a feature set generated form multiple sensors Mechanical Systems and Signal Processing 12 2 1998 319 332 (Pubitemid 128398640)
30. Y. Lei, Z. He, Y. Zi, and Q. Hu Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs Mechanical Systems and Signal Processing 21 5 2007 2280 2294 (Pubitemid 46550775)
31. X. Cao, P. Jiang, and G. Zhou Facility health maintenance through SVR-driven degradation prediction International Journal of Materials and Product Technology 33 1 2008 185 193
32. D.R. Salgado, and F.J. Alonso Tool wear detection in turning operations using singular spectrum analysis Journal of Materials Processing Technology 171 3 2006 451 458 (Pubitemid 43106625)