{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T19:53:55Z","timestamp":1773777235404,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100005416","name":"Norges Forskningsr\u00e5d","doi-asserted-by":"publisher","award":["237896"],"award-info":[{"award-number":["237896"]}],"id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2974942","type":"journal-article","created":{"date-parts":[[2020,2,18]],"date-time":"2020-02-18T21:33:43Z","timestamp":1582061623000},"page":"35842-35852","source":"Crossref","is-referenced-by-count":42,"title":["Health Indicator for Low-Speed Axial Bearings Using Variational Autoencoders"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8751-8731","authenticated-orcid":false,"given":"Martin","family":"Hemmer","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5411-3655","authenticated-orcid":false,"given":"Andreas","family":"Klausen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0480-6859","authenticated-orcid":false,"given":"Huynh Van","family":"Khang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9578-7325","authenticated-orcid":false,"given":"Kjell G.","family":"Robbersmyr","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0530-3866","authenticated-orcid":false,"given":"Tor I.","family":"Waag","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1185","article-title":"Sparse feature learning for deep belief networks","author":"ranzato","year":"2008","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2016.07.028"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the false discovery rate: A practical and powerful approach to multiple testing","volume":"57","author":"benjamini","year":"2018","journal-title":"J Roy Statist Soc B Statist Methodol"},{"key":"ref32","first-page":"275","article-title":"Gear health threshold setting based on a probability of false alarm","author":"bechhoefer","year":"2011","journal-title":"Proc Annu Conf Prognostics Health Manage Soc"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.2007.352867"},{"key":"ref30","first-page":"278","article-title":"A comparison of acoustic emission and vibration measurements for condition monitoring of an offshore drilling machine","author":"hemmer","year":"2017","journal-title":"Proc Annu Conf Prognostics Health Manage Soc"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2728010"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.03.034"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ChiCC.2015.7260634"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1968.1054102"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2877447"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2019.01.008"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2669947"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2010.07.017"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0301-679X(99)00077-8"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2018.2806984"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2014.2330494"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2014.2358494"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-13560-1_20"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2509913"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2888842"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/designs2040056"},{"key":"ref50","article-title":"Fast and accurate deep network learning by exponential linear units (ELUs)","author":"clevert","year":"2015","journal-title":"arXiv 1511 07289"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2015.12.111"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ISGTEurope.2016.7856316"},{"key":"ref54","author":"box","year":"2015","journal-title":"Time Series Analysis Forecasting and Control"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1098\/rspa.1931.0069"},{"key":"ref52","first-page":"267","article-title":"On a method of investigating periodicities disturbed series, with special reference to Wolfer&#x2019;s sunspot numbers","volume":"226","author":"yule","year":"1927","journal-title":"Philos Trans R Soc Lond Ser A Containing Papers Math Phys Character"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.10.020"},{"key":"ref40","article-title":"Auto-encoding variational Bayes","author":"kingma","year":"2013","journal-title":"arXiv 1312 6114"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/PHM-Chongqing.2018.00156"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.06.033"},{"key":"ref13","first-page":"1","article-title":"Techniques for large, slow bearing fault detection","volume":"7","author":"bechhoefer","year":"2016","journal-title":"Int Conf Prognostics Health Manage"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.02.046"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2017.02.033"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/s18051389"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s12206-017-0306-y"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.02.016"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.09.042"},{"key":"ref4","author":"stamboliska","year":"2014","journal-title":"Proactive Condition Monitoring of Low-Speed Machines"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.06.012"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.01.033"},{"key":"ref5","first-page":"1","article-title":"Fault detection on large slow bearings","volume":"7","author":"bechhoefer","year":"2016","journal-title":"Proc PHME"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0963-8695(02)00006-3"},{"key":"ref49","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/S0963-8695(02)00005-1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.apacoust.2015.10.028"},{"key":"ref46","article-title":"TensorFlow: Large-scale machine learning on heterogeneous distributed systems","author":"abadi","year":"2015","journal-title":"arXiv 1603 04467"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1177\/1475921718788299"},{"key":"ref48","article-title":"Decoupled weight decay regularization","author":"loshchilov","year":"2017","journal-title":"arXiv 1711 05101"},{"key":"ref47","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"arXiv 1412 6980"},{"key":"ref42","article-title":"Adversarial autoencoders","author":"makhzani","year":"2015","journal-title":"arXiv 1511 05644"},{"key":"ref41","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref44","article-title":"Towards principled methods for training generative adversarial networks","author":"arjovsky","year":"2017","journal-title":"arXiv 1701 04862"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09001012.pdf?arnumber=9001012","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T19:35:28Z","timestamp":1722454528000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9001012\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2974942","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}