{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T11:01:56Z","timestamp":1753354916738,"version":"3.37.3"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T00:00:00Z","timestamp":1639699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T00:00:00Z","timestamp":1639699200000},"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":[[2021,12,17]]},"DOI":"10.1109\/safeprocess52771.2021.9693542","type":"proceedings-article","created":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T20:50:05Z","timestamp":1643748605000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Multi-attention Parallel CNN-GRU Fault Diagnosis Method For Rolling Bearing"],"prefix":"10.1109","author":[{"given":"Zhihao","family":"Huo","sequence":"first","affiliation":[{"name":"Huazhong University of Science and Technology,School of Artificial Intelligence and Automation,Wuhan,China,430074"}]},{"given":"Xiaoyu","family":"Yang","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology,School of Artificial Intelligence and Automation,Wuhan,China,430074"}]},{"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology,School of Artificial Intelligence and Automation,Wuhan,China,430074"}]},{"given":"Yanwei","family":"Wang","sequence":"additional","affiliation":[{"name":"Wuhan Institute of Technology, 693 Chuxiong Road,School of Mechanical & Electrical Engineering,Wuhan,Hubei,430073"}]},{"given":"Ying","family":"Zheng","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology,School of Artificial Intelligence and Automation,Wuhan,China,430074"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2288675"},{"key":"ref11","first-page":"11","article-title":"Application of New Denoising Method Based on VMD in Fault Feature Extraction[J]","volume":"38","author":"zhao","year":"2018","journal-title":"Journal of Vibration Measurement & Diagnosis"},{"key":"ref12","first-page":"273","article-title":"Machinery fault diagnosis based on shift invariant CNN[J]","volume":"39","author":"zhu","year":"2020","journal-title":"Journal of Vibration and Shock"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref14","first-page":"273","article-title":"Fault diagnosis for rolling bearing of swashplate based on DCAE-CNN[J]","volume":"39","author":"wan","year":"2020","journal-title":"Journal of Vibration and Shock"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref16","first-page":"32","article-title":"Bearing fault diagnosis based on wavelet packet energy entropy and DBN[J]","volume":"33","author":"zhao","year":"2019","journal-title":"Journal of Electronic Measurement and Instrumentation"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref18","first-page":"663","article-title":"Fault diagnosis of bearing based on wavelet convolutional auto-encoder and LSTM network[J]","volume":"36","author":"du","year":"2019","journal-title":"Journal of Mechanical & Electrical Engineering"},{"key":"ref19","first-page":"95","article-title":"Rolling bearing fault diagnosis based on BiLSTM network[J]","volume":"40","author":"zhao","year":"2021","journal-title":"Journal of Vibration and Shock"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3901\/JME.2014.02.171"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2009.02.003"},{"journal-title":"Bearing Malfunction Diagnosing Research and Application Based on EMD and ANN[D]","year":"2007","author":"wang","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2013.06.004"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1142\/S1793536909000047"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1098\/rspa.1998.0193"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsv.2014.09.026"},{"journal-title":"Research on Fault Diagnosis Method of Rolling Bearing Based on Vibration Signal Processing[D]","year":"2017","author":"wang","key":"ref1"},{"key":"ref9","first-page":"70","article-title":"Weak fault diagnosis for rolling element bearing based on MED-EEMD[J]","volume":"30","author":"wang","year":"2014","journal-title":"ransactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE)"},{"key":"ref20","first-page":"1","article-title":"Fault Diagnosis for Rolling Bearing Based on Convolution Neural Network and Long Short-Term Memory[J]","author":"chen","year":"2021","journal-title":"Journal of Xi’ an Jiaotong University"},{"key":"ref21","first-page":"118","article-title":"Rolling Bearing Fault Diagnosis Method Based on Resnet Network and Attention-GRU Gating Mechanism[J]","volume":"2020","author":"mao","year":"0"}],"event":{"name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","start":{"date-parts":[[2021,12,17]]},"location":"Chengdu, China","end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9693491\/9693537\/09693542.pdf?arnumber=9693542","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,20]],"date-time":"2022-06-20T21:11:22Z","timestamp":1655759482000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9693542\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,17]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/safeprocess52771.2021.9693542","relation":{},"subject":[],"published":{"date-parts":[[2021,12,17]]}}}