上海交大研究生院主页平台管理系统陈小奇--中文主页-- Acoustic signal based tool condition monitoring in belt grinding of nickel-based superalloys using RF classifier and MLR algorithm

陈小奇

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电子邮箱：xqchen@sjtu.edu.cn

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中文主页 - 科学研究 - 论文成果

Acoustic signal based tool condition monitoring in belt grinding of nickel-based superalloys using RF classifier and MLR algorithm

发布时间：2020-10-13

发表刊物：International Journal of Advanced Manufacturing Technology

是否译文：否

发表时间：2018-01-01

论文类型：期刊论文

上一条：Modelling and Simulation of a Non-Holonomic Omnidirectional Mobile Robot for Offline Programming and System Performance Analysis

下一条：A novel sound-based belt condition monitoring method for robotic grinding using Optimally Pruned Extreme Learning Machine

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