{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T03:02:04Z","timestamp":1775617324638,"version":"3.50.1"},"reference-count":36,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2023,6,10]],"date-time":"2023-06-10T00:00:00Z","timestamp":1686355200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51805213"],"award-info":[{"award-number":["51805213"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2019320202000282"],"award-info":[{"award-number":["2019320202000282"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Industry-University-Research Collaboration","award":["51805213"],"award-info":[{"award-number":["51805213"]}]},{"name":"Industry-University-Research Collaboration","award":["2019320202000282"],"award-info":[{"award-number":["2019320202000282"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Focusing on the low accuracy and timeliness of traditional fault diagnosis methods for rolling bearings which combine massive amounts of data, a fault diagnosis method for rolling bearings based on Gramian angular field (GAF) coding technology and an improved ResNet50 model is proposed. Using the Graham angle field technology to recode the one-dimensional vibration signal into a two-dimensional feature image, using the two-dimensional feature image as the input for the model, combined with the advantages of the ResNet algorithm in image feature extraction and classification recognition, we realized automatic feature extraction and fault diagnosis, and, finally, achieved the classification of different fault types. In order to verify the effectiveness of the method, the rolling bearing data of Casey Reserve University are selected for verification, and compared with other commonly used intelligent algorithms, the results show that the proposed method has a higher classification accuracy and better timeliness than other intelligent algorithms.<\/jats:p>","DOI":"10.3390\/s23125487","type":"journal-article","created":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T02:28:42Z","timestamp":1686536922000},"page":"5487","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["A Deep Learning Method for Rolling Bearing Fault Diagnosis Based on Attention Mechanism and Graham Angle Field"],"prefix":"10.3390","volume":"23","author":[{"given":"Jingyu","family":"Lu","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Jiangnan University, Wuxi 214122, China"}]},{"given":"Kai","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Jiangnan University, Wuxi 214122, China"},{"name":"Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Jiangnan University, Wuxi 214122, China"}]},{"given":"Chen","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Jiangnan University, Wuxi 214122, China"},{"name":"Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Jiangnan University, Wuxi 214122, China"}]},{"given":"Weixi","family":"Ji","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Jiangnan University, Wuxi 214122, China"},{"name":"Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Jiangnan University, Wuxi 214122, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.triboint.2015.12.037","article-title":"A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings","volume":"96","author":"Rai","year":"2016","journal-title":"Tribol. 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