DQ-DeepLearn: Data Quality Driven Deep Learning Approach for Enhanced Predictive Maintenance in Smart Manufacturing-Reference-Cited by-同舟云学术

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DQ-DeepLearn: Data Quality Driven Deep Learning Approach for Enhanced Predictive Maintenance in Smart Manufacturing

Published:2024 Issue: Volume:232 Page:574-583
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Bharot Nitesh,Verma Priyanka,Soderi Mirco,Breslin John G.

Funder

Science Foundation Ireland

Publisher

Elsevier BV

Reference12 articles.

1. Improved method of estimating the product quality after multiple inspections;Chun;International Journal of Production Research,2016

2. Predictive maintenance in the Industry 4.0: A systematic literature review;Zonta;Computers & Industrial Engineering,2020

3. Improving Product Quality Control in Smart Manufacturing through Transfer Learning-Based Fault Detection;Bharot,2023

4. Product failure prediction with missing data;Kang;International Journal of Production Research,2018

5. A Demo of Microservice for Customized Faulty Product Detection System in Smart Manufacturing;Bharot,2023

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