{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:19:21Z","timestamp":1740100761685,"version":"3.37.3"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,6]]},"DOI":"10.1109\/icphm53196.2022.9815755","type":"proceedings-article","created":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T19:31:55Z","timestamp":1657222315000},"page":"108-113","source":"Crossref","is-referenced-by-count":1,"title":["An Integration of Spectrum Analysis and Attention-based Network for Condition Monitoring of Vibration Components"],"prefix":"10.1109","author":[{"given":"Xi","family":"Chen","sequence":"first","affiliation":[{"name":"Alibaba Group,Shanghai,China"}]},{"given":"Cheng","family":"Ge","sequence":"additional","affiliation":[{"name":"Alibaba Group,Shanghai,China"}]},{"given":"Ming","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Group,Hangzhou,China"}]},{"given":"Jin","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Group,Hangzhou,China"}]}],"member":"263","reference":[{"key":"ref32","first-page":"267","article-title":"Visualizing Data using t-SNE","volume":"620","author":"van der maaten","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref31","article-title":"An end-to-end framework combining time–frequency expert knowledge and modified transformer networks for vibration signal classification","volume":"171","author":"can jin","year":"2021","journal-title":"Expert Systems with Applications"},{"article-title":"Bearing Data Set, IMS, University of Cincinnati, NASA Ames Prognostics Data Repository, NASA Ames, Moffett Field, CA","year":"2007","author":"lee","key":"ref30"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-019-01511-x"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref12","article-title":"Deep learning: Methods and applications","volume":"7","author":"deng","year":"2013","journal-title":"Foundations and Trends in Signal Processing"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2017.03.017"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/s19051088"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsv.2016.10.043"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/s20144017"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108518"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ac05f6"},{"key":"ref19","article-title":"An empirical exploration of Recurrent Network architectures","volume":"3","author":"jozefowicz","year":"2015","journal-title":"32nd International Conference on Machine Learning ICML 2015"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1088\/0964-1726\/19\/4\/045013"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2013.01.017"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.05.001"},{"key":"ref3","first-page":"2280","article-title":"Fault Diagnosis of Rotating Machinery Based on Multiple ANFIS Combination with Gas Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs","volume":"21","author":"xi","year":"2014","journal-title":"Mechanical Systems and Signal Processing"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113400"},{"article-title":"Gear Fault Data","year":"2021","author":"cao","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.02.008"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1177\/0954409718795089"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2018.05.004"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.04.021"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2014.2330494"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0888-3270(03)00013-X"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.10.065"},{"key":"ref22","first-page":"5999","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.107802"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3029551"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/6660243"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TAU.1967.1161901"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2020.08.010"}],"event":{"name":"2022 IEEE International Conference on Prognostics and Health Management (ICPHM)","start":{"date-parts":[[2022,6,6]]},"location":"Detroit (Romulus), MI, USA","end":{"date-parts":[[2022,6,8]]}},"container-title":["2022 IEEE International Conference on Prognostics and Health Management (ICPHM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9815455\/9815560\/09815755.pdf?arnumber=9815755","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T00:41:48Z","timestamp":1659660108000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9815755\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,6]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/icphm53196.2022.9815755","relation":{},"subject":[],"published":{"date-parts":[[2022,6,6]]}}}