Multisensory fusion based virtual tool wear sensing for ubiquitous manufacturing

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• 作者：Jinjiang Wang^a ; Junyao Xie^a ; Rui Zhao^b ; Laibin Zhang^a ; Lixiang Duan^a ; ^{duanlx@cup.edu.cn}
• 关键词：Tool wear estimation ; Virtual sensing ; Feature fusion
• 刊名：Robotics and Computer-Integrated Manufacturing
• 出版年：2017
• 出版时间：June 2017
• 年：2017
• 卷：45
• 期：Complete
• 页码：47-58
• 全文大小：2210 K
• 卷排序：45

文摘

A multi-sensory fusion based virtual tool wear sensing model is developed. KPCA performs best among the dimension reduction techniques investigated. The virtual tool wear sensing model is validated using a machining tool life test. The performance of the model is comparable to the costly offline instrumentation.