Multi-Scale Convolutional Gated Recurrent Unit Networks for Tool Wear Prediction in Smart Manufactur

• 作 者: Weixin Xu Huihui Miao Zhibin Zhao Jinxin Liu Chuang Sun Ruqiang Yan
• 机 构: SchoolofMechanicalEngineering,StateKeyLaboratoryforManufacturingSystemsEngineering
• 出 处: 中国机械工程学报:英文版
• 发表日期: 2021年3期
• 关键词: Tool wear prediction MULTI-SCALE Convolutional neural networks Gated recurrent u
• 基金项目: Supported in part by Natural Science Foundation of China(Grant Nos.51835009,51705398),Shaanxi Province 2020 Natural Science Basic Research Plan(Grant No.2020JQ-042),Aeronautical Science Foundation(Gra

As an integrated application of modern information technologies and artificial intelligence,Prognostic and Health Management(PHM)is important for machine health monitoring.Prediction of tool wear is one of the symbolic applications of PHM technology in mo