A Generalized Multisensor Real-Time Tool Condition–Monitoring Approach Using Deep Recurrent Neural Network-Reference-Cited by-同舟云学术

A Generalized Multisensor Real-Time Tool Condition–Monitoring Approach Using Deep Recurrent Neural Network

Published:2019-02-01 Issue:2 Volume:3 Page:20190020
ISSN:2520-6478
Container-title:Smart and Sustainable Manufacturing Systems
language:en
Short-container-title:Smart Sustain. Manuf. Syst.

Author:

Hassan M.¹,Sadek A.²,Attia M. H.²³

Affiliation:

1. Advanced Material Removal Processes, Aerospace Manufacturing Technologies Center (AMTC), National Research Council Canada, 1200 Montreal Rd., Ottawa, ON K1A 0R6, Canada (Corresponding author), e-mail: mahmoud.hassan@cnrc-nrc.gc.ca, https://orcid.org/0000-0001-6881-3882

2. Advanced Material Removal Processes, Aerospace Manufacturing Technologies Center (AMTC), National Research Council Canada, 2107, chemin de la Polytechnique, Montréal, QC H3T 1J4, Canada

3. Department of Mechanical Engineering, McGill University, 817 Rue Sherbrooke Ouest, Montréal, QC H3A 0C3, Canada

Publisher

ASTM International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Control and Systems Engineering

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Real-Time Deep Machine Learning Approach for Sudden Tool Failure Prediction and Prevention in Machining Processes;Sensors;2023-04-11

2. Tool Condition Monitoring for High-Performance Machining Systems—A Review;Sensors;2022-03-12

3. Milling tool wear prediction using multi-sensor feature fusion based on stacked sparse autoencoders;Measurement;2022-02

4. Monte Carlo Method–Based Tool Life Prediction during the End Milling of Ti-6Al-4V Alloy for Smart Manufacturing;Smart and Sustainable Manufacturing Systems;2021-12-21

5. System for Tool-Wear Condition Monitoring in CNC Machines under Variations of Cutting Parameter Based on Fusion Stray Flux-Current Processing;Sensors;2021-12-17