{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:06:17Z","timestamp":1760709977109,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030267650"},{"type":"electronic","value":"9783030267667"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-26766-7_26","type":"book-chapter","created":{"date-parts":[[2019,7,29]],"date-time":"2019-07-29T23:18:04Z","timestamp":1564442284000},"page":"283-293","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Rotary Machine Fault Diagnosis Using Scalogram Image and Convolutional Neural Network with Batch Normalization"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3930-7283","authenticated-orcid":false,"given":"Duy Tang","family":"Hoang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9121-5442","authenticated-orcid":false,"given":"Hee Jun","family":"Kang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,7,24]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Ioffe, S., Vanhoucke, V., Alemi, A.A.: Inception-v4, Inception-ResNet and the impact of residual connections on learning. In: AAAI 2017, pp. 4278\u20134284 (2017)","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"Yan, R.: \u2018Chitty-chitty-chat bot\u2019: deep learning for conversational AI. In: IJCAI International Joint Conference on Artificial Intelligence (2018)","DOI":"10.24963\/ijcai.2018\/778"},{"key":"26_CR3","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1109\/MSP.2010.939038","volume":"28","author":"D Yu","year":"2011","unstructured":"Yu, D., Deng, L., Jang, I., Kudumakis, P., Sandler, M., Kang, K.: Deep learning and its applications to signal and information processing. IEEE Signal Process. Mag. 28, 145\u2013154 (2011)","journal-title":"IEEE Signal Process. Mag."},{"key":"26_CR4","doi-asserted-by":"crossref","unstructured":"Xu, Y., et al.: Deep learning of feature representation with multiple instance learning for medical image analysis. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1626\u20131630 (2014)","DOI":"10.1109\/ICASSP.2014.6853873"},{"key":"26_CR5","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1016\/j.ymssp.2018.05.050","volume":"115","author":"R Zhao","year":"2019","unstructured":"Zhao, R., Yan, R., Chen, Z., Mao, K., Wang, P., Gao, R.X.: Deep learning and its applications to machine health monitoring. Mech. Syst. Signal Process. 115, 213\u2013237 (2019)","journal-title":"Mech. Syst. Signal Process."},{"key":"26_CR6","unstructured":"Karpathy, A.: LeNet-5, convolutional neural networks (2015). http:\/\/yann.lecun.com\/exdb\/lenet"},{"issue":"3","key":"26_CR7","first-page":"1","volume":"5","author":"DE Rumelhart","year":"1988","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J., et al.: Learning representations by back-propagating errors. Cogn. Model. 5(3), 1 (1988)","journal-title":"Cogn. Model."},{"key":"26_CR8","unstructured":"Smolensky, P.: Information processing in dynamical systems: Foundations of harmony theory (1986)"},{"key":"26_CR9","unstructured":"Medsker, L.R., Jain, L.C.: Recurrent Neural Networks: Design and Applications (2001)"},{"key":"26_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2017\/8617315","volume":"2017","author":"Levent Eren","year":"2017","unstructured":"Eren, L.: Bearing fault detection by one-dimensional convolutional neural networks. Math. Probl. Eng. 2017, 9 p. (2017). Article ID 8617315. https:\/\/doi.org\/10.1155\/2017\/8617315","journal-title":"Mathematical Problems in Engineering"},{"issue":"8","key":"26_CR11","doi-asserted-by":"publisher","first-page":"1729","DOI":"10.3390\/s17081729","volume":"17","author":"S Li","year":"2017","unstructured":"Li, S., Liu, G., Tang, X., Lu, J., Hu, J.: An ensemble deep convolutional neural network model with improved DS evidence fusion for bearing fault diagnosis. Sensors 17(8), 1729 (2017)","journal-title":"Sensors"},{"key":"26_CR12","doi-asserted-by":"publisher","first-page":"5990","DOI":"10.1109\/TIE.2017.2774777","volume":"65","author":"L Wen","year":"2018","unstructured":"Wen, L., Li, X., Gao, L., Zhang, Y.: A new convolutional neural network-based data-driven fault diagnosis method. IEEE Trans. Ind. Electron. 65, 5990\u20135998 (2018)","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"5","key":"26_CR13","first-page":"169","volume":"1","author":"PP Kharche","year":"2014","unstructured":"Kharche, P.P., Kshirsagar, S.V.: Review of fault detection in rolling element bearing. Int. J. Innov. Res. Adv. Eng. 1(5), 169\u2013174 (2014)","journal-title":"Int. J. Innov. Res. Adv. Eng."},{"issue":"6","key":"26_CR14","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1049\/iet-smt.2014.0228","volume":"9","author":"M Van","year":"2015","unstructured":"Van, M., Kang, H.-J.: Bearing-fault diagnosis using non-local means algorithm and empirical mode decomposition-based feature extraction and two-stage feature selection. IET Sci. Meas. Technol. 9(6), 671\u2013680 (2015)","journal-title":"IET Sci. Meas. Technol."},{"issue":"2","key":"26_CR15","doi-asserted-by":"publisher","first-page":"425","DOI":"10.3390\/s17020425","volume":"17","author":"W Zhang","year":"2017","unstructured":"Zhang, W., Peng, G., Li, C., Chen, Y., Zhang, Z.: A new deep learning model for fault diagnosis with good anti-noise and domain adaptation ability on raw vibration signals. Sensors 17(2), 425 (2017)","journal-title":"Sensors"},{"key":"26_CR16","unstructured":"Ioffe, S., Szegedy, C.: Batch normalization: accelerating deep network training by reducing internal covariate shift. In: International Conference on Machine Learning, pp. 448\u2013456 (2015)"},{"key":"26_CR17","unstructured":"Loparo, K.A.: Bearing data center. Case Western Reserve University (2013)"},{"key":"26_CR18","doi-asserted-by":"publisher","first-page":"4807","DOI":"10.1016\/j.asoc.2011.06.020","volume":"11","author":"AH Zamanian","year":"2011","unstructured":"Zamanian, A.H., Ohadi, A.: Gear fault diagnosis based on Gaussian correlation of vibrations signals and wavelet coefficients. Appl. Soft Comput. J. 11, 4807\u20134819 (2011)","journal-title":"Appl. Soft Comput. J."}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Methodologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-26766-7_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T10:24:35Z","timestamp":1710325475000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-26766-7_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030267650","9783030267667"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-26766-7_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"24 July 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanchang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ic-ic.tongji.edu.cn\/2019\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}