{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T16:39:03Z","timestamp":1774543143220,"version":"3.50.1"},"reference-count":20,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2023,7,3]],"date-time":"2023-07-03T00:00:00Z","timestamp":1688342400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Natural Science Outstanding Youth Fund of Heilongjiang Province","award":["YQ2021E035"],"award-info":[{"award-number":["YQ2021E035"]}]},{"name":"Natural Science Outstanding Youth Fund of Heilongjiang Province","award":["UNPYSCT-2020193"],"award-info":[{"award-number":["UNPYSCT-2020193"]}]},{"name":"Natural Science Outstanding Youth Fund of Heilongjiang Province","award":["CXRC20221104024"],"award-info":[{"award-number":["CXRC20221104024"]}]},{"name":"Heilongjiang Province General Undergraduate Colleges and Universities Young Innovative Talents Training Plan","award":["YQ2021E035"],"award-info":[{"award-number":["YQ2021E035"]}]},{"name":"Heilongjiang Province General Undergraduate Colleges and Universities Young Innovative Talents Training Plan","award":["UNPYSCT-2020193"],"award-info":[{"award-number":["UNPYSCT-2020193"]}]},{"name":"Heilongjiang Province General Undergraduate Colleges and Universities Young Innovative Talents Training Plan","award":["CXRC20221104024"],"award-info":[{"award-number":["CXRC20221104024"]}]},{"name":"Manufacturing Science and Technology Innovation Talents Project of Harbin City","award":["YQ2021E035"],"award-info":[{"award-number":["YQ2021E035"]}]},{"name":"Manufacturing Science and Technology Innovation Talents Project of Harbin City","award":["UNPYSCT-2020193"],"award-info":[{"award-number":["UNPYSCT-2020193"]}]},{"name":"Manufacturing Science and Technology Innovation Talents Project of Harbin City","award":["CXRC20221104024"],"award-info":[{"award-number":["CXRC20221104024"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Due to its low stiffness, the boring bar used in deep-hole-boring is prone to violent vibration during the cutting process. It is often inaccurate and inefficient to judge the vibration state of the boring bar through artificial experience. To detect the change of the vibration state of the boring bar over time, guide the adjustment of the processing parameters, and avoid wastage of the workpiece and the loss of equipment, it is particularly important to intelligently monitor the vibration state of the boring bar during processing. In this paper, the boring bar is taken as the research object, and an intelligent monitoring technology of the boring bar\u2019s vibration state based on deep learning is proposed. Based on grouping convolution, channel shuffle, and BiLSTM, a shuffle-BiLSTM NET model is constructed, which is both lightweight and has a high classification accuracy. The boring experiment platform is built, and 192 groups of cutting experiments are carried out. The three-way acceleration and sound pressure signals are collected, and the signals are processed by smoothed pseudo-Wigner\u2013Ville distribution. The original signals are transformed into a 256 \u00d7 256 \u00d7 3 matrix obtained by a two-dimensional time\u2013frequency spectrum diagram. The matrix is input into the model to recognize the boring bar\u2019s vibration state. The final classification accuracy is 91.2%. A variety of typical deep learning models are introduced for performance comparison, which proves the superiority of the models and methods used in this paper.<\/jats:p>","DOI":"10.3390\/s23136123","type":"journal-article","created":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T01:42:47Z","timestamp":1688434967000},"page":"6123","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Research on Intelligent Monitoring of Boring Bar Vibration State Based on Shuffle-BiLSTM"],"prefix":"10.3390","volume":"23","author":[{"given":"Qiang","family":"Liu","sequence":"first","affiliation":[{"name":"Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin 150080, China"},{"name":"Postdoctoral Research Station of Electrical Engineering, Harbin University of Science and Technology, Harbin 150080, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dingkun","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin 150080, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Ma","sequence":"additional","affiliation":[{"name":"Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin 150080, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengyan","family":"Bai","sequence":"additional","affiliation":[{"name":"Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin 150080, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaqi","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin 150080, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,7,3]]},"reference":[{"key":"ref_1","unstructured":"Fu, Y. 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