{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:32:48Z","timestamp":1777491168709,"version":"3.51.4"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2015,6,19]],"date-time":"2015-06-19T00:00:00Z","timestamp":1434672000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Manuf"],"published-print":{"date-parts":[[2015,10]]},"DOI":"10.1007\/s10845-015-1112-y","type":"journal-article","created":{"date-parts":[[2015,6,17]],"date-time":"2015-06-17T23:55:08Z","timestamp":1434585308000},"page":"1011-1026","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":69,"title":["A method for tool condition monitoring based on sensor fusion"],"prefix":"10.1007","volume":"26","author":[{"given":"Kai-feng","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui-qun","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Nie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,6,19]]},"reference":[{"key":"1112_CR1","doi-asserted-by":"crossref","first-page":"869","DOI":"10.1007\/s10845-010-0443-y","volume":"23","author":"G Agustin","year":"2012","unstructured":"Agustin, G., Rodolfo, H., Rauldel, T., Pastora, V., & Andres, B. (2012). Tool wear monitoring using neuro-fuzzy techniques: A comparative study in a turning process. Journal of Intelligent Manufacturing, 23, 869\u2013882.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"1112_CR2","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1007\/s00170-011-3738-z","volume":"61","author":"CS Ai","year":"2012","unstructured":"Ai, C. S., Sun, Y. J., & He, G. W. (2012). The milling tool wear monitoring using the acoustic spectrum. International Journal of Advanced Manufacturing Technology, 61, 457\u2013463.","journal-title":"International Journal of Advanced Manufacturing Technology"},{"key":"1112_CR3","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.inffus.2011.08.001","volume":"14","author":"K Bahador","year":"2013","unstructured":"Bahador, K., Alaa, K., Fakhreddine, O. K., & Saiedeh, N. R. (2013). Multisensor data fusion: A review of the state-of-the-art. Information Fusion, 14, 28\u201344.","journal-title":"Information Fusion"},{"issue":"2","key":"1112_CR4","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1007\/s12206-011-1036-1","volume":"26","author":"J Bhaskaran","year":"2012","unstructured":"Bhaskaran, J., Murugan, M., Balashanmugam, N., & Chellamalai, M. (2012). Monitoring of hard turning using acoustic emission signal. Journal of Mechanical Science and Technology, 26(2), 609\u2013615.","journal-title":"Journal of Mechanical Science and Technology"},{"key":"1112_CR5","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1023\/A:1008908309585","volume":"11","author":"JC Chen","year":"2000","unstructured":"Chen, J. C. (2000). An effective fuzzy-nets training scheme for monitoring tool breakage. Journal of Intelligent Manufacturing, 11, 85\u2013101.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"1112_CR6","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1007\/s10845-010-0436-x","volume":"23","author":"B Danko","year":"2012","unstructured":"Danko, B., Dubravko, M., Toma, U., & Josip, K. (2012). Tool wear estimation using an analytic fuzzy classifier and support vector machines. Journal of Intelligent Manufacturing, 23, 797\u2013809.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"1112_CR7","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1007\/s00170-009-2357-4","volume":"48","author":"P Federico","year":"2010","unstructured":"Federico, P., Alberto, P., Giorgio, P., & Fergal, D. (2010). Analysis of metal cutting acoustic emissions by time series models. International Journal of Advanced Manufacturing Technology, 48, 897\u2013903.","journal-title":"International Journal of Advanced Manufacturing Technology"},{"key":"1112_CR8","volume-title":"Adaptation in natural and artificial systems","author":"JH Holland","year":"1975","unstructured":"Holland, J. H. (1975). Adaptation in natural and artificial systems. Ann Arbor: The University of Michigan Press."},{"key":"1112_CR9","doi-asserted-by":"crossref","first-page":"872","DOI":"10.1007\/s00170-007-1034-8","volume":"37","author":"YW Hsueh","year":"2008","unstructured":"Hsueh, Y. W., & Yang, C. Y. (2008). Prediction of tool breakage in face milling using support vector machine. International Journal of Advanced Manufacturing Technology, 37, 872\u2013880.","journal-title":"International Journal of Advanced Manufacturing Technology"},{"key":"1112_CR10","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1098\/rspa.1998.0193","volume":"454","author":"NE Huang","year":"1998","unstructured":"Huang, N. E., Shen, Z., & Long, S. R. (1998). The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society A, 454, 903\u2013995.","journal-title":"Proceedings of the Royal Society A"},{"key":"1112_CR11","doi-asserted-by":"crossref","unstructured":"Jemielniak, K., Kwiatkowski, L., & Wrzosek, P. (1998). Diagnosis of tool wear based on cutting forces and acoustic emission measures as inputs to a neural network. Journal of Intelligent Manufacturing, 9, 447\u2013455.","DOI":"10.1023\/A:1008896516869"},{"key":"1112_CR12","doi-asserted-by":"crossref","unstructured":"Jose, V. A., & Fernando, R. S. (2010). A review of machining monitoring systems based on artificial intelligence process models. International Journal of Advanced Manufacturing Technology, 47, 237\u2013257.","DOI":"10.1007\/s00170-009-2191-8"},{"key":"1112_CR13","doi-asserted-by":"crossref","first-page":"2561","DOI":"10.1007\/s11071-011-0169-1","volume":"67","author":"B Li","year":"2012","unstructured":"Li, B., Zhang, P. L., & Wang, Z. J. (2012). Morphological covering based generalized dimension for gear fault diagnosis. Nonlinear Dynamics, 67, 2561\u20132571.","journal-title":"Nonlinear Dynamics"},{"key":"1112_CR14","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1007\/BF01176299","volume":"13","author":"XN Lou","year":"1997","unstructured":"Lou, X. N., & Lin, C. J. (1997). An intelligent sensor fusion system for tool monitoring on a machining centre. International Journal of Advanced Manufacturing Technology, 13, 556\u2013565.","journal-title":"International Journal of Advanced Manufacturing Technology"},{"key":"1112_CR15","doi-asserted-by":"crossref","first-page":"4903","DOI":"10.1016\/j.jmatprotec.2009.01.013","volume":"209","author":"M Mohammad","year":"2009","unstructured":"Mohammad, M., Simon, S. P., & Martin, B. G. J. (2009). Tool wear monitoring of micro-milling operations. Journal of Materials Processing Technology, 209, 4903\u20134914.","journal-title":"Journal of Materials Processing Technology"},{"key":"1112_CR16","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1016\/j.jmaa.2004.12.022","volume":"306","author":"L Olsen","year":"2005","unstructured":"Olsen, L. (2005). Mixed generalized dimensions of self-similar measures. Journal of Mathematical Analysis and Applications, 306, 516\u2013539.","journal-title":"Journal of Mathematical Analysis and Applications"},{"key":"1112_CR17","doi-asserted-by":"crossref","first-page":"1206","DOI":"10.1016\/j.specom.2009.06.005","volume":"51","author":"V Pitsikalis","year":"2009","unstructured":"Pitsikalis, V., & Maragos, P. (2009). Analysis and classification of speech signals by generalized fractal dimension features. Speech Communication, 51, 1206\u20131223.","journal-title":"Speech Communication"},{"issue":"5","key":"1112_CR18","doi-asserted-by":"crossref","first-page":"722","DOI":"10.7763\/IJCEE.2012.V4.593","volume":"4","author":"H Rafezi","year":"2012","unstructured":"Rafezi, H., Behzad, M., & Akbari, J. (2012). Time domain and frequency spectrum analysis of sound signal for drill wear detection. International Journal of Computer and Electrical Engineering, 4(5), 722\u2013725.","journal-title":"International Journal of Computer and Electrical Engineering"},{"key":"1112_CR19","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1007\/s00170-004-2038-2","volume":"26","author":"AG Rehorn","year":"2005","unstructured":"Rehorn, A. G., Jin, J., & Orban, P. E. (2005). State-of-the-art methods and results in tool condition monitoring: A review. International Journal of Advanced Manufacturing Technology, 26, 693\u2013710.","journal-title":"International Journal of Advanced Manufacturing Technology"},{"key":"1112_CR20","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.procir.2013.09.016","volume":"12","author":"T Segeto","year":"2013","unstructured":"Segeto, T., Simeone, A., & Teti, R. (2013). Multiple sensor monitoring in nickel alloy turning for tool wear assessment via sensor fusion. Procedia CIRP, 12, 85\u201390.","journal-title":"Procedia CIRP"},{"key":"1112_CR21","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1007\/s10845-007-0048-2","volume":"19","author":"VS Sharma","year":"2008","unstructured":"Sharma, V. S., Sharma, S. K., & Sharma, A. K. (2008). Cutting tool wear estimation for turning. Joural of Intelligent Manufacturing, 19, 99\u2013108.","journal-title":"Joural of Intelligent Manufacturing"},{"issue":"5","key":"1112_CR22","doi-asserted-by":"crossref","first-page":"1081","DOI":"10.1080\/00207540110107534","volume":"40","author":"P Srinivasa Pai","year":"2002","unstructured":"Srinivasa Pai, P., & Ramakrishna Rao, P. K. (2002). Acoustic emission analysis for tool wear monitoring in face milling. International Journal of Production Research, 40(5), 1081\u20131093.","journal-title":"International Journal of Production Research"},{"key":"1112_CR23","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1007\/BF02601795","volume":"6","author":"H Trabelsi","year":"1991","unstructured":"Trabelsi, H., & Kannatey-Asibu, E, Jr. (1991). Pattern-recognition analysis of sound radiation in metal cutting. International Journal of Advanced Manufacturing Technology, 6, 220\u2013231.","journal-title":"International Journal of Advanced Manufacturing Technology"},{"key":"1112_CR24","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The nature of statistical learning theory","author":"VN Vapnik","year":"1995","unstructured":"Vapnik, V. N. (1995). The nature of statistical learning theory. New York: Springer."}],"container-title":["Journal of Intelligent Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-015-1112-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10845-015-1112-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-015-1112-y","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T02:18:55Z","timestamp":1559269135000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10845-015-1112-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6,19]]},"references-count":24,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2015,10]]}},"alternative-id":["1112"],"URL":"https:\/\/doi.org\/10.1007\/s10845-015-1112-y","relation":{},"ISSN":["0956-5515","1572-8145"],"issn-type":[{"value":"0956-5515","type":"print"},{"value":"1572-8145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,6,19]]}}}