Robotic Grinding Process Monitoring by Vibration Signal Based on LSTM Method-Reference-Cited by-同舟云学术

Robotic Grinding Process Monitoring by Vibration Signal Based on LSTM Method

Published:2022 Issue: Volume:71 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhao Xingwei¹^ORCID,Lu Hao¹^ORCID,Yu Wenfu¹^ORCID,Tao Bo¹,Ding Han¹^ORCID

Affiliation:

1. Department of Mechanical Science and Engineering, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09906128.pdf?arnumber=9906128

Reference31 articles.

1. Observer-based friction force estimation for brake system under low-frequency vibration

2. Errors in velocities and displacements deduced from accelerographs: An approach based on the theory of error propagation

3. Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression

4. In-Process Tool Wear Measurement System Based on Image Analysis for CNC Drilling Machines

5. Early Fault Detection of Machine Tools Based on Deep Learning and Dynamic Identification

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