{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T15:57:32Z","timestamp":1774540652008,"version":"3.50.1"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319633114","type":"print"},{"value":"9783319633121","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-63312-1_9","type":"book-chapter","created":{"date-parts":[[2017,7,19]],"date-time":"2017-07-19T15:43:13Z","timestamp":1500478993000},"page":"105-111","source":"Crossref","is-referenced-by-count":28,"title":["Convolutional Neural Network Based Bearing Fault Diagnosis"],"prefix":"10.1007","author":[{"given":"Duy-Tang","family":"Hoang","sequence":"first","affiliation":[]},{"given":"Hee-Jun","family":"Kang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,7,20]]},"reference":[{"issue":"8","key":"9_CR1","doi-asserted-by":"crossref","first-page":"3398","DOI":"10.1109\/TIE.2012.2219838","volume":"60","author":"MD Prieto","year":"2013","unstructured":"Prieto, M.D., Cirrincione, G., Espinosa, A.G., Ortega, J.A., Henao, H.: Bearing fault detection by a novel condition-monitoring scheme based on statistical-time features and neural networks. IEEE Trans. Industr. Electron. 60(8), 3398\u20133407 (2013)","journal-title":"IEEE Trans. Industr. Electron."},{"issue":"3","key":"9_CR2","doi-asserted-by":"crossref","first-page":"664","DOI":"10.1109\/TBME.2015.2468589","volume":"63","author":"S Kiranyaz","year":"2016","unstructured":"Kiranyaz, S., Ince, T., Gabbouj, M.: Real-time patient-specific ECG classification by 1-D convolutional neural networks. IEEE Trans. Biomed. Eng. 63(3), 664\u2013675 (2016)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"3\u20134","key":"9_CR3","first-page":"245","volume":"13","author":"D Nguyen","year":"2013","unstructured":"Nguyen, D., Kang, M., Kim, C.H., Kim, J.: Highly reliable state monitoring system for induction motors using dominant features in a 2-dimension vibration signal. New Rev. Hypermedia Multimedia 13(3\u20134), 245\u2013258 (2013)","journal-title":"New Rev. Hypermedia Multimedia"},{"issue":"12","key":"9_CR4","first-page":"12","volume":"18","author":"WC Jang","year":"2013","unstructured":"Jang, W.C., Park, Y.H., Kang, M.S., Kim, J.M.: Mechainical fault classification of an induction motor using texture analysis. J. Korea Soc. Comput. Inf. 18(12), 12\u201319 (2013)","journal-title":"J. Korea Soc. Comput. Inf."},{"key":"9_CR5","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1155\/2014\/814593","volume":"2014","author":"J Uddin","year":"2014","unstructured":"Uddin, J., Kang, M., Nguyen, D.V., Kim, J.-M.: Reliable fault classification of induction motors using texture feature extraction and a multiclass support vector machine. Mathe. Probl. Eng. 2014, 9 (2014). doi:\n10.1155\/2014\/814593\n\n. Article ID 814593","journal-title":"Mathe. Probl. Eng."},{"key":"9_CR6","unstructured":"Loparo, K.A.: Bearing data center. \nhttp:\/\/www.eecs.case.edu\/laboratory\/bearing\n\n. Case Western Reserve University. Accessed 2016"},{"key":"9_CR7","unstructured":"Phung, S.L., Bouzerdoum, A.: MATLAB library for convolutional neural networks. ICT Research Institute, Visual and Audio Signal Processing Laboratory, University of Wollongong, Technical report (2009)"},{"issue":"1","key":"9_CR8","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1109\/TNN.2006.884677","volume":"27","author":"SL Phung","year":"2007","unstructured":"Phung, S.L., Bouzerdoum, A.: A pyramidal neural network for visual pattern recognition. IEEE Trans. Neural Networks 27(1), 329\u2013343 (2007)","journal-title":"IEEE Trans. Neural Networks"},{"issue":"1","key":"9_CR9","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1109\/TIE.2014.2327589","volume":"62","author":"TW Rauber","year":"2015","unstructured":"Rauber, T.W., de Assis Boldt, F., Varej\u00e3o, F.M.: Heterogeneous feature models and feature selection applied to bearing fault diagnosis. IEEE Trans. Industr. Electron. 62(1), 637\u2013646 (2015)","journal-title":"IEEE Trans. Industr. Electron."},{"key":"9_CR10","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157\u20131182 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"9_CR11","unstructured":"Powers, D.M.: Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation (2011)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Application"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-63312-1_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,7,19]],"date-time":"2017-07-19T15:47:14Z","timestamp":1500479234000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-63312-1_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319633114","9783319633121"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-63312-1_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}