{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T04:10:01Z","timestamp":1751775001661,"version":"3.41.0"},"reference-count":22,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,5]]},"DOI":"10.1109\/i2mtc.2018.8409555","type":"proceedings-article","created":{"date-parts":[[2018,7,30]],"date-time":"2018-07-30T19:02:41Z","timestamp":1532977361000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["Gear pitting fault diagnosis using disentangled features from unsupervised deep learning"],"prefix":"10.1109","author":[{"given":"Yongzhi","family":"Qu","sequence":"first","affiliation":[]},{"given":"Yue","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Miao","family":"He","sequence":"additional","affiliation":[]},{"given":"David","family":"He","sequence":"additional","affiliation":[]},{"given":"Chen","family":"Jiao","sequence":"additional","affiliation":[]},{"given":"Zude","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","volume":"16","author":"zhao","year":"2016","journal-title":"Deep learning and its applications to machine health monitoring A survey"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.36001\/phmconf.2016.v8i1.2570","article-title":"Using Deep Learning Based Approaches for Bearing Remaining Useful Life Prediction","author":"deutsch","year":"2016","journal-title":"International conference of PHM society"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1051\/meca\/2012018"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/17797179.2013.820885"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2008.09.006"},{"key":"ref15","first-page":"306","article-title":"Damage detection of a gear with initial pitting using the zoomed phase map of continuous wavelet transform","author":"lee","year":"2006","journal-title":"Key Eng Mater"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10921-010-0066-4"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.21236\/ADA498995"},{"key":"ref18","article-title":"Gear pitting detection based on spectral kurtosis and adaptive denoising filtering","author":"per\u0161in","year":"2014","journal-title":"Proceedings of the 11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies CM 2014\/MFPT 2014"},{"key":"ref19","article-title":"Pitting detection in a worm gearbox using artificial neural networks","author":"\u00fcm\u00fctl\u00fc","year":"2016","journal-title":"Proceedings of the INTER-NOISE 2016–45th International Congress and Exposition on Noise Control Engineering Towards a Quieter Future"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.10.025"},{"key":"ref3","first-page":"124","volume":"115","author":"tamilselvan","year":"2013","journal-title":"Failure diagnosis using deep belief learning based health state classification ability Engineering and System Safety"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/app7050515"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2519325"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.12.012"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.03.034"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2012.01.022"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2010.10.002"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2690940"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2049235"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/S0079-6123(06)65034-6","article-title":"To Recognize Shapes, First Learn to Generate Images","author":"hinton","year":"2007","journal-title":"Computational Neuroscience Theoretical Insights into Brain Function"}],"event":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC )","start":{"date-parts":[[2018,5,14]]},"location":"Houston, TX, USA","end":{"date-parts":[[2018,5,17]]}},"container-title":["2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8401508\/8409512\/08409555.pdf?arnumber=8409555","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T03:40:51Z","timestamp":1751773251000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8409555\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/i2mtc.2018.8409555","relation":{},"subject":[],"published":{"date-parts":[[2018,5]]}}}