重庆大学主页平台管理系统 Yufeng Li--Home-- A Multiple Signals Fusing Framework for Tool Condition Monitoring Based on Deep Learning

Paper Publications

Current location: Home >> Scientific Research >> Paper Publications

A Multiple Signals Fusing Framework for Tool Condition Monitoring Based on Deep Learning

Hits:

Affiliation of Author(s):机械与运载工程学院

Journal:2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM)

Co-author:王兴全(学),Ren Fei(外),Wang Yulin(外)

First Author:Yufeng Li

Indexed by:会议论文

Correspondence Author:何彦

Document Code:229907

ISSN No.:978-1-6654-3909-1

Translation or Not:no

Date of Publication:2021-01-01

Pre One : An approach for surface roughness measurement of helical gears based on image segmentation of region of interest

Next One : Equipment Condition Monitoring System based on Multi-source Heterogeneous Data

Personal information

Associate Professor
Supervisor of Master's Candidates

E-Mail:

School/Department:机械与运载工程学院

Education Level:Postgraduate (Postdoctoral)

Gender:Male

Degree:Doctoral degree

Status:Employed

Alma Mater:重庆大学

Honors and Titles:

低碳制造环境下机械加工"机床-车间”能耗规律及调控教育部高等学校科学技术奖(自然科学奖),中华人民共和国教育部 2019-01-01

You are visitors

The Last Update Time : ..