{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T17:11:31Z","timestamp":1774631491231,"version":"3.50.1"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"Chinese National Key Research and Development Project","doi-asserted-by":"publisher","award":["2018YFB1703200"],"award-info":[{"award-number":["2018YFB1703200"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003711","name":"Chinese Ministry of Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003711","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tim.2022.3173278","type":"journal-article","created":{"date-parts":[[2022,5,9]],"date-time":"2022-05-09T19:41:58Z","timestamp":1652125318000},"page":"1-11","source":"Crossref","is-referenced-by-count":28,"title":["Pyramid LSTM Network for Tool Condition Monitoring"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1523-8348","authenticated-orcid":false,"given":"Hao","family":"Guo","sequence":"first","affiliation":[{"name":"Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Changzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9720-789X","authenticated-orcid":false,"given":"Xin","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0702-0162","authenticated-orcid":false,"given":"Kunpeng","family":"Zhu","sequence":"additional","affiliation":[{"name":"Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Changzhou, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-008044534-2.50004-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3047939"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2010.2050974"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2856193"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-014-6560-6"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S0890-6955(99)00073-5"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2005.10.010"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2016.2584238"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2013.2274422"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2952476"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-019-04664-4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3077995"},{"key":"ref13","article-title":"On-line measurement of tool wear","volume-title":"Manufacturing and Machine Tools Division","author":"Lister","year":"1993"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-019-04349-y"},{"issue":"2","key":"ref15","first-page":"1535","article-title":"Multi-sensor prognostics using an unsupervised health index based on LSTM encoder-decoder","volume":"67","author":"Malhotra","year":"2016","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3121326"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2021.107927"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/s17020273"},{"key":"ref19","first-page":"2998","article-title":"Parallel multi-dimensional LSTM, with application to fast biomedical volumetric image segmentation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Stollenga"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/S0890-6955(99)00122-4"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2949355"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cirp.2010.05.010"},{"key":"ref23","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"Vincent","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3514228"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106829"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.isci.2020.101656"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2020.0093"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CASE48305.2020.9217015"},{"key":"ref29","article-title":"Sequence to sequence learning with neural networks","author":"Sutskever","year":"2014","journal-title":"arXiv:1409.3215"},{"key":"ref30","article-title":"LSTM-based encoder-decoder for multi-sensor anomaly detection","author":"Malhotra","year":"2016","journal-title":"arXiv:1607.00148"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01199"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/222"},{"key":"ref33","first-page":"1","article-title":"Fuzzy neural network modelling for tool wear estimation in dry milling operation","volume-title":"Proc. Annu. Conf. PHM Soc.","author":"Li"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2392713"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmrt.2021.05.021"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/9717300\/09770792.pdf?arnumber=9770792","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T22:12:55Z","timestamp":1705961575000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9770792\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/tim.2022.3173278","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}