{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T13:22:31Z","timestamp":1762867351121},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319741758"},{"type":"electronic","value":"9783319741765"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-319-74176-5_29","type":"book-chapter","created":{"date-parts":[[2018,1,12]],"date-time":"2018-01-12T10:03:55Z","timestamp":1515751435000},"page":"332-346","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Crack Detection in Rotating Shafts Using Wavelet Analysis, Shannon Entropy and Multi-class SVM"],"prefix":"10.1007","author":[{"given":"Zhiqiang","family":"Huo","sequence":"first","affiliation":[]},{"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Zhangbing","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Jianfeng","family":"Huang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,1,13]]},"reference":[{"issue":"11","key":"29_CR1","doi-asserted-by":"crossref","first-page":"6418","DOI":"10.1109\/TIE.2014.2301773","volume":"61","author":"S Yin","year":"2014","unstructured":"Yin, S., Ding, S.X., Xie, X., Luo, H.: A review on basic data-driven approaches for industrial process monitoring. IEEE Trans. Industr. Electron. 61(11), 6418\u20136428 (2014)","journal-title":"IEEE Trans. Industr. Electron."},{"issue":"4","key":"29_CR2","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1049\/iet-epa:20070280","volume":"2","author":"P Tavner","year":"2008","unstructured":"Tavner, P.: Review of condition monitoring of rotating electrical machines. IET Electric Power Appl. 2(4), 215\u2013247 (2008)","journal-title":"IET Electric Power Appl."},{"key":"29_CR3","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.triboint.2015.12.037","volume":"96","author":"A Rai","year":"2016","unstructured":"Rai, A., Upadhyay, S.: A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings. Tribol. Int. 96, 289\u2013306 (2016)","journal-title":"Tribol. Int."},{"key":"29_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.sigpro.2013.04.015","volume":"96","author":"R Yan","year":"2014","unstructured":"Yan, R., Gao, R.X., Chen, X.: Wavelets for fault diagnosis of rotary machines: a review with applications. Sig. Process. 96, 1\u201315 (2014)","journal-title":"Sig. Process."},{"key":"29_CR5","doi-asserted-by":"crossref","unstructured":"Huo, Z., Zhang, Y., Francq, P., Shu, L., Huang, J.: Incipient fault diagnosis of roller bearing using optimized wavelet transform based multi-speed vibration signatures. IEEE Access (2017)","DOI":"10.1109\/ACCESS.2017.2661967"},{"key":"29_CR6","first-page":"207","volume":"9","author":"TR Babu","year":"2010","unstructured":"Babu, T.R., Sekhar, A.: Shaft crack identification using artificial neural networks and wavelet transform data of a transient rotor. Adv. Vib. Eng 9, 207\u2013214 (2010)","journal-title":"Adv. Vib. Eng"},{"issue":"3","key":"29_CR7","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1007\/s12046-009-0024-y","volume":"34","author":"C Nagaraju","year":"2009","unstructured":"Nagaraju, C., Rao, K.N., Raoo, K.M.: Application of 3D wavelet transforms for crack detection in rotor systems. Sadhana 34(3), 407\u2013419 (2009)","journal-title":"Sadhana"},{"issue":"19","key":"29_CR8","doi-asserted-by":"crossref","first-page":"1683","DOI":"10.1016\/j.mseb.2012.03.001","volume":"177","author":"D Gu","year":"2012","unstructured":"Gu, D., Kim, J., Kelimu, T., Huh, S.-C., Choi, B.-K.: Evaluation of the use of envelope analysis and DWT on AE signals generated from degrading shafts. Mater. Sci. Eng. B 177(19), 1683\u20131690 (2012)","journal-title":"Mater. Sci. Eng. B"},{"key":"29_CR9","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1016\/j.ymssp.2011.08.002","volume":"27","author":"G Bin","year":"2012","unstructured":"Bin, G., Gao, J., Li, X., Dhillon, B.: Early fault diagnosis of rotating machinery based on wavelet packets-Empirical mode decomposition feature extraction and neural network. Mech. Syst. Signal Process. 27, 696\u2013711 (2012)","journal-title":"Mech. Syst. Signal Process."},{"key":"29_CR10","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.mechmachtheory.2016.05.006","volume":"103","author":"M G\u00f3mez","year":"2016","unstructured":"G\u00f3mez, M., Castej\u00f3n, C., Corral, E., Garc\u00eda-Prada, J.: Analysis of the influence of crack location for diagnosis in rotating shafts based on 3 x energy. Mech. Mach. Theory 103, 167\u2013173 (2016)","journal-title":"Mech. Mach. Theory"},{"key":"29_CR11","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/j.ress.2016.03.013","volume":"152","author":"MJ G\u00f3mez","year":"2016","unstructured":"G\u00f3mez, M.J., Castej\u00f3n, C., Garc\u00eda-Prada, J.C.: Automatic condition monitoring system for crack detection in rotating machinery. Reliab. Eng. Syst. Saf. 152, 239\u2013247 (2016)","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"29_CR12","unstructured":"Tang, J., Alelyani, S., Liu, H.: Feature selection for classification: a review. In: Data Classification: Algorithms and Applications, p. 37 (2014)"},{"issue":"2","key":"29_CR13","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1109\/18.119732","volume":"38","author":"RR Coifman","year":"1992","unstructured":"Coifman, R.R., Wickerhauser, M.V.: Entropy-based algorithms for best basis selection. IEEE Trans. Inf. Theory 38(2), 713\u2013718 (1992)","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"6","key":"29_CR14","doi-asserted-by":"crossref","first-page":"1315","DOI":"10.1016\/j.ymssp.2004.01.008","volume":"18","author":"E Schukin","year":"2004","unstructured":"Schukin, E., Zamaraev, R., Schukin, L.: The optimisation of wavelet transform for the impulse analysis in vibration signals. Mech. Syst. Sig. Process. 18(6), 1315\u20131333 (2004)","journal-title":"Mech. Syst. Sig. Process."},{"key":"29_CR15","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1007\/978-0-387-30164-8_630","volume-title":"Encyclopedia of Machine Learning","author":"J Kennedy","year":"2011","unstructured":"Kennedy, J.: Particle swarm optimization. In: Sammut, C., Webb, G.I. (eds.) Encyclopedia of Machine Learning, pp. 760\u2013766. Springer, Boston (2011)"},{"issue":"111","key":"29_CR16","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1090\/S0025-5718-1970-0274029-X","volume":"24","author":"DF Shanno","year":"1970","unstructured":"Shanno, D.F.: Conditioning of quasi-Newton methods for function minimization. Math. Comput. 24(111), 647\u2013656 (1970)","journal-title":"Math. Comput."},{"key":"29_CR17","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1007\/978-94-009-0643-3_68","volume-title":"In: International Neural Network Conference","author":"R Battiti","year":"1990","unstructured":"Battiti, R., Masulli, F.: BFGS optimization for faster and automated supervised learning. In: International Neural Network Conference, pp. 757\u2013760. Springer, Dordrecht (1990). https:\/\/doi.org\/10.1007\/978-94-009-0643-3_68"},{"issue":"3","key":"29_CR18","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"JA Suykens","year":"1999","unstructured":"Suykens, J.A., Vandewalle, J.: Least squares support vector machine classifiers. Neural Process. Lett. 9(3), 293\u2013300 (1999)","journal-title":"Neural Process. Lett."},{"key":"29_CR19","unstructured":"LIBSVM Matlab Toolbox. https:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm\/ . Accessed 10 June 2017"},{"key":"29_CR20","unstructured":"PT 500 Machinery Diagnostic System. www.gunt.de\/static\/s3680_1.php . Accessed 10 June 2017"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Industrial Networks and Intelligent Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-74176-5_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T13:07:00Z","timestamp":1719752820000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-74176-5_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319741758","9783319741765"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-74176-5_29","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2018]]}}}