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作品数:24被引量:37H指数:3
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相关领域:电子电信自动化与计算机技术更多>>
相关作者:张功更多>>
相关机构:华中师范大学南京邮电大学更多>>
相关期刊:《Journal of Automation and Intelligence》《Chinese Journal of Mechanical Engineering》《Language and Semiotic Studies》《Computers, Materials & Continua》更多>>
相关基金:国家自然科学基金中国博士后科学基金湖北省自然科学基金更多>>
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Identification of abnormal tribological regimes using a microphone and semi-supervised machine-learning algorithm被引量:4
《Friction》2022年第4期583-596,共14页Vigneashwara PANDIYAN Josef PROST Georg VORLAUFER Markus VARGA Kilian WASMER 
This work was funded by the Austrian COMET Program(project InTribology,No.872176)via the Austrian Research Promotion Agency(FFG);the Provinces of Niederösterreich and Vorarlberg and has been carried out within the Austrian Excellence Centre of Tribology(AC2T Research GmbH);Experiments were carried out within the framework of a project funded by the government of Lower Austria(No.K3-F-760/001-2017).
Functional surfaces in relative contact and motion are prone to wear and tear,resulting in loss of efficiency and performance of the workpieces/machines.Wear occurs in the form of adhesion,abrasion,scuffing,galling,an...
关键词:surface integrity acoustic emission auto encoders condition monitoring wear prediction 
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