{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T12:23:44Z","timestamp":1778588624367,"version":"3.51.4"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2010,7,23]],"date-time":"2010-07-23T00:00:00Z","timestamp":1279843200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Intell Manuf"],"published-print":{"date-parts":[[2012,6]]},"DOI":"10.1007\/s10845-010-0436-x","type":"journal-article","created":{"date-parts":[[2010,7,22]],"date-time":"2010-07-22T13:13:23Z","timestamp":1279804403000},"page":"797-809","source":"Crossref","is-referenced-by-count":49,"title":["Tool wear estimation using an analytic fuzzy classifier and support vector machines"],"prefix":"10.1007","volume":"23","author":[{"given":"Danko","family":"Brezak","sequence":"first","affiliation":[]},{"given":"Dubravko","family":"Majetic","sequence":"additional","affiliation":[]},{"given":"Toma","family":"Udiljak","sequence":"additional","affiliation":[]},{"given":"Josip","family":"Kasac","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2010,7,23]]},"reference":[{"key":"436_CR1","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1016\/j.ymssp.2007.09.012","volume":"22","author":"F. J. Alonso","year":"2008","unstructured":"Alonso F. J., Salgado R. J. (2008) Analysis of the structure of vibration signals for tool wear detection. Mechanical Systems and Signal Processing 22: 735\u2013748","journal-title":"Mechanical Systems and Signal Processing"},{"key":"436_CR2","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/S0952-1976(02)00004-0","volume":"15","author":"M. Balazinski","year":"2002","unstructured":"Balazinski M., Czogala E., Jemielniak K., Leski J. (2002) Tool condition monitoring using artificial intelligence methods. Engineering Applications of Artificial Intelligence 15: 73\u201380","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"436_CR3","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1023\/A:1009715923555","volume":"2","author":"C. J. C. Burges","year":"1998","unstructured":"Burges C. J. C. (1998) A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 2: 121\u2013167","journal-title":"Data Mining and Knowledge Discovery"},{"key":"436_CR4","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1007\/s001700300039","volume":"21","author":"J. C. Chen","year":"2004","unstructured":"Chen J. C., Chen J. C. (2004) An artificial-neural-networks-based in-process tool wear prediction system in milling operations. The International Journal of Advanced Manufacturing Technology 21: 339\u2013347","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"436_CR5","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/S0890-6955(01)00096-7","volume":"42","author":"C. Chungchoo","year":"2002","unstructured":"Chungchoo C., Saini D. (2002) On-line tool wear estimation in CNC turning operations using fuzzy neural network model. International Journal of Machine Tools & Manufacture 42: 29\u201340","journal-title":"International Journal of Machine Tools & Manufacture"},{"key":"436_CR6","volume-title":"Mechanical systems design handbook (Section I)","author":"K. Danai","year":"2002","unstructured":"Danai K. (2002) Machine tool monitoring and control. In: Osita D., Nwokah I., Hurmuzlu Y. (eds) Mechanical systems design handbook (Section I). CRC Press, Boca Raton"},{"key":"436_CR7","doi-asserted-by":"crossref","first-page":"1883","DOI":"10.1016\/S0890-6955(99)00035-8","volume":"39","author":"A. Ghasempoor","year":"1999","unstructured":"Ghasempoor A., Jeswiet J., Moore T. N. (1999) Real time implementation of on-line tool condition monitoring in turning. International Journal of Machine Tools and Manufacture 39: 1883\u20131902","journal-title":"International Journal of Machine Tools and Manufacture"},{"key":"436_CR8","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1016\/j.ymssp.2005.10.010","volume":"21","author":"N. Ghosh","year":"2007","unstructured":"Ghosh N., Ravi Y. B., Patra A., Mukhopadhyay S., Paul S., Mohanty A. R., Chattopadhyay A. B. (2007) Estimation of tool wear during CNC milling using neural network-based sensor fusion. Mechanical Systems and Signal Processing 21: 466\u2013479","journal-title":"Mechanical Systems and Signal Processing"},{"key":"436_CR9","first-page":"4-1","volume-title":"Computer aided design, engineering and manufacturing (Vol. VII): Artificial intelligence and robotics in manufacturing","author":"G. S. Hong","year":"2001","unstructured":"Hong G. S., Rahman M., Wong Y. S. (2001) Tool condition monitoring in manufacturing systems using neural networks. In: Leondes C. (eds) Computer aided design, engineering and manufacturing (Vol. VII): Artificial intelligence and robotics in manufacturing. CRC Press, Boca Raton, pp 4-1\u20134-39"},{"issue":"2","key":"436_CR10","first-page":"1","volume":"16","author":"P.-T. Huang","year":"2000","unstructured":"Huang P.-T., Chen J. C. (2000) Neural network-based tool breakage monitoring system for end milling operations. Journal of Industrial Technology 16(2): 1\u20138","journal-title":"Journal of Industrial Technology"},{"key":"436_CR11","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1007\/s001700050123","volume":"15","author":"K. Jemielniak","year":"1999","unstructured":"Jemielniak K. (1999) Commercial tool condition monitoring systems. The International Journal of Advanced Manufacturing Technology 15: 711\u2013721","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"436_CR12","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1115\/1.538886","volume":"122","author":"S. V. Kamarthi","year":"2000","unstructured":"Kamarthi S. V., Kumara S. R. T., Cohen P. H. (2000) Flank wear estimation in turning through wavelet representation of acoustic emission Signals. Journal of Manufacturing Science and Engineering 122: 12\u201319","journal-title":"Journal of Manufacturing Science and Engineering"},{"key":"436_CR13","volume-title":"Learning and soft computing: Support vector machines, neural networks, and fuzzy logic models","author":"V. Kecman","year":"2001","unstructured":"Kecman V. (2001) Learning and soft computing: Support vector machines, neural networks, and fuzzy logic models. The MIT Press, Cambridge, MA"},{"key":"436_CR14","volume-title":"Mechanical systems design handbook (Section I)","author":"R. G. Landers","year":"2002","unstructured":"Landers R. G., Ulsoy A. G., Furness R. J. (2002) Process monitoring and control of machining operations. In: Osita D., Nwokah I., Hurmuzlu Y. (eds) Mechanical systems design handbook (Section I). CRC Press, Boca Raton"},{"key":"436_CR15","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1007\/s001700050161","volume":"16","author":"X. Li","year":"2000","unstructured":"Li X., Dong S., Venuvinod P. K. (2000) Hybrid learning for tool wear monitoring. The International Journal of Advanced Manufacturing Technology 16: 303\u2013307","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"issue":"4","key":"436_CR16","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1109\/TSMCC.2004.829296","volume":"34","author":"X. Li","year":"2004","unstructured":"Li X., Li H.-X., Guan X.-P., Du R. (2004) Fuzzy estimation of feed-cutting force from current measurement\u2014A case study on intelligent tool wear condition monitoring. IEEE Transactions on Systems, Man and Cybernetics \u2013 Part C: Applications and Reviews 34(4): 506\u2013512","journal-title":"IEEE Transactions on Systems, Man and Cybernetics \u2013 Part C: Applications and Reviews"},{"issue":"3","key":"436_CR17","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1109\/5326.885116","volume":"30","author":"X. Li","year":"2000","unstructured":"Li X., Tso S. K., Wang J. (2000) Real-time tool condition monitoring using wavelet transforms and fuzzy techniques. IEEE Transactions on Systems, Man and Cybernetics \u2013 Part C: Applications and Reviews 30(3): 352\u2013357","journal-title":"IEEE Transactions on Systems, Man and Cybernetics \u2013 Part C: Applications and Reviews"},{"key":"436_CR18","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1115\/1.1707035","volume":"126","author":"Y. S. Liang","year":"2004","unstructured":"Liang Y. S., Hecker L. R., Landers G. R. (2004) Machining process monitoring and control: The state of the art. Journal of Manufacturing Science and Engineering 126: 297\u2013310","journal-title":"Journal of Manufacturing Science and Engineering"},{"key":"436_CR19","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1007\/s001700200061","volume":"19","author":"S.-P. Lo","year":"2002","unstructured":"Lo S.-P. (2002) The application of an ANFIS and grey system method in turning tool-failure detection. The International Journal of Advanced Manufacturing Technology 19: 564\u2013572","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"436_CR20","volume-title":"Mechanical systems design handbook (Section I)","author":"M. G. Mehrabi","year":"2002","unstructured":"Mehrabi M. G., Ulsoy A. G., Koren Y. (2002) Manufacturing systems and their design principles. In: Osita D., Nwokah I., Hurmuzlu Y. (eds) Mechanical systems design handbook (Section I). CRC Press, Boca Raton"},{"key":"436_CR21","unstructured":"Misiti, M., Misiti, Y., Oppenheim, G., & Poggi J.-M. (2005). Wavelet toolbox user\u2019s guide, The MathWorks Inc., http:\/\/www.mathworks.com\/access\/helpdesk\/help\/pdf_doc\/wavelet\/wavelet_ug.pdf , Accessed 19 September 2008."},{"key":"436_CR22","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/S0924-0136(01)00928-1","volume":"119","author":"G. O\u2019Donnell","year":"2001","unstructured":"O\u2019Donnell G., Young P., Kelly K., Byrne G. (2001) Towards the improvement of tool condition monitoring systems in the manufacturing environment. Journal of Materials Processing Technology 119: 133\u2013139","journal-title":"Journal of Materials Processing Technology"},{"key":"436_CR23","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/S0890-6955(98)00020-0","volume":"1","author":"P. W. Prickett","year":"1999","unstructured":"Prickett P. W., Johns C. (1999) An overview of approaches to end milling tool monitoring. International Journal of Machine Tools and Manufacture 1: 105\u2013122","journal-title":"International Journal of Machine Tools and Manufacture"},{"key":"436_CR24","doi-asserted-by":"crossref","first-page":"2140","DOI":"10.1016\/j.ijmachtools.2007.04.013","volume":"47","author":"D. R. Salgado","year":"2007","unstructured":"Salgado D. R., Alonso F. J. (2007) An approach based on current and sound signals for in-process tool wear monitoring. International Journal of Machine Tools and Manufacture 47: 2140\u20132152","journal-title":"International Journal of Machine Tools and Manufacture"},{"key":"436_CR25","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1016\/S0890-6955(03)00110-X","volume":"43","author":"C. Scheffer","year":"2003","unstructured":"Scheffer C., Heyns P. S., Klocke F. (2003) Development of a tool wear-monitoring system for hard turning. International Journal of Machine Tools and Manufacture 43: 973\u2013985","journal-title":"International Journal of Machine Tools and Manufacture"},{"key":"436_CR26","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1007\/s10845-007-0048-2","volume":"19","author":"V. S. Sharma","year":"2008","unstructured":"Sharma V. S., Sharma S. K., Sharma A. K. (2008) Cutting tool wear estimation for turning. Journal of Intelligent Manufacturing 19: 99\u2013108","journal-title":"Journal of Intelligent Manufacturing"},{"key":"436_CR27","doi-asserted-by":"crossref","first-page":"1799","DOI":"10.1016\/j.ymssp.2006.07.016","volume":"21","author":"D. Shi","year":"2007","unstructured":"Shi D., Gindy N. N. (2007) Tool wear predictive model based on least squares support vector machines. Mechanical Systems and Signal Processing 21: 1799\u20131814","journal-title":"Mechanical Systems and Signal Processing"},{"key":"436_CR28","unstructured":"Sick, B. (1998). On-line tool wear classification in turning with time-delay neural networks and process-specific pre-processing. International Joint Conference on Neural Networks \u2013 IJCNN 1998 (pp. 84\u201389). Anchorage, Alaska."},{"issue":"4","key":"436_CR29","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1006\/mssp.2001.1460","volume":"16","author":"B. Sick","year":"2002","unstructured":"Sick B. (2002) 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): 487\u2013546","journal-title":"Mechanical Systems and Signal Processing"},{"key":"436_CR30","unstructured":"Silva, R.G. (2009). Condition monitoring of the cutting process using a self-organizing spiking neural network map. Journal of Intelligent Manufacturing, http:\/\/www.springerlink.com\/content\/gw8887538888715v\/fulltext.pdf . Accessed 24 September 2009."},{"issue":"2","key":"436_CR31","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1006\/mssp.1997.0123","volume":"12","author":"R. G. Silva","year":"1998","unstructured":"Silva R. G., Reuben R. L., Baker K. J., Wilcox S. J. (1998) Tool wear monitoring of turning operations by neural network and expert system classification of a feature set generated from multiple sensors. Mechanical Systems and Signal Processing 12(2): 208\u2013221","journal-title":"Mechanical Systems and Signal Processing"},{"key":"436_CR32","unstructured":"Smola, A. J., & Sch\u00f6lkopf, B. (1998). A tutorial on support vector regression. Royal Holloway College-University of London. http:\/\/www.kernel-machines.org\/publications\/SmoSch98c , Accessed 24 October 2009."},{"key":"436_CR33","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1007\/s001700200148","volume":"20","author":"P. P. Srinivasa","year":"2002","unstructured":"Srinivasa P. P., Nagabhushana T. N., Ramakrishna Rao P. K. (2002) Flank wear estimation in face Milling based on radial basis function neural networks. The International Journal of Advanced Manufacturing Technology 20: 241\u2013247","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"436_CR34","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1016\/j.ijmachtools.2005.04.005","volume":"46","author":"J. Sun","year":"2006","unstructured":"Sun J., Hong G. S., Wong Y. S., Rahman M., Wang Z. G. (2006) Effective training data selection in tool condition monitoring system. International Journal of Machine Tools and Manufacture 46: 218\u2013224","journal-title":"International Journal of Machine Tools and Manufacture"},{"key":"436_CR35","doi-asserted-by":"crossref","first-page":"1179","DOI":"10.1016\/j.ijmachtools.2004.04.003","volume":"44","author":"J. Sun","year":"2004","unstructured":"Sun J., Rahman M., Wong Y. S., Hong G. S. (2004) Multiclassification of tool wear with support vector machine by manufacturing loss consideration. International Journal of Machine Tools and Manufacture 44: 1179\u20131187","journal-title":"International Journal of Machine Tools and Manufacture"},{"key":"436_CR36","first-page":"186","volume":"21","author":"V. Susanto","year":"2003","unstructured":"Susanto V., Chen J. C. (2003) Fuzzy logic based in-process tool-wear monitoring system in face milling operations. The International Journal of Advanced Manufacturing Technology 21: 186\u2013192","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"436_CR37","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1007\/s001700170011","volume":"10","author":"H. Tandon","year":"2001","unstructured":"Tandon H., El-Mounayri A. (2001) Novel artificial neural networks force model for end milling. The International Journal of Advanced Manufacturing Technology 10: 693\u2013700","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"436_CR38","volume-title":"Statistical learning theory","author":"V. Vapnik","year":"1998","unstructured":"Vapnik V. (1998) Statistical learning theory. J. Wiley & Sons Inc, New York"},{"key":"436_CR39","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1023\/A:1018573224739","volume":"8","author":"K. Venkatesh","year":"1997","unstructured":"Venkatesh K., Zhou M., Caudill R. J. (1997) Design of artificial neural networks for tool wear monitoring. Journal of Intelligent Manufacturing 8: 215\u2013226","journal-title":"Journal of Intelligent Manufacturing"},{"key":"436_CR40","volume-title":"Computational intelligence in manufacturing handbook (Part I)","author":"J. Wang","year":"2001","unstructured":"Wang J., Tang W. S., Roze C. (2001) Neural network applications in intelligent Manufacturing: An updated survey. In: Wang J., Kusiak A. (eds) Computational intelligence in manufacturing handbook (Part I). CRC Press, Boca Raton"},{"key":"436_CR41","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1007\/s10845-008-0090-8","volume":"19","author":"X. Wang","year":"2008","unstructured":"Wang X., Wang W., Huang Y., Nguyen N., Krishnakumar K. (2008) Design of neural network-based estimator for tool wear modeling in hard turning. Journal of Intelligent Manufacturing 19: 383\u2013396","journal-title":"Journal of Intelligent Manufacturing"},{"key":"436_CR42","doi-asserted-by":"crossref","first-page":"1504","DOI":"10.1016\/j.jmatprotec.2008.04.002","volume":"209","author":"U. Zuperl","year":"2009","unstructured":"Zuperl U., Cus F., Kiker E. (2009) Adaptive network based inference system for estimation of flank wear in end-milling. Journal of Materials Processing Technology 209: 1504\u20131511","journal-title":"Journal of Materials Processing Technology"}],"container-title":["Journal of Intelligent Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-010-0436-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10845-010-0436-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-010-0436-x","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,30]],"date-time":"2019-05-30T22:11:49Z","timestamp":1559254309000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10845-010-0436-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,7,23]]},"references-count":42,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2012,6]]}},"alternative-id":["436"],"URL":"https:\/\/doi.org\/10.1007\/s10845-010-0436-x","relation":{},"ISSN":["0956-5515","1572-8145"],"issn-type":[{"value":"0956-5515","type":"print"},{"value":"1572-8145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,7,23]]}}}