Data-driven prediction of possible quality deterioration in injection molding processes-Reference-Cited by-同舟云学术

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Data-driven prediction of possible quality deterioration in injection molding processes

Published:2024-01 Issue: Volume:150 Page:111029
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Lughofer Edwin,Pichler Kurt

Publisher

Elsevier BV

Subject

Software

Reference63 articles.

1. Injection Molding: An Introduction;Pötsch,2007

2. Plastic Injection Molding: Manufacturing Process Fundamentals;Bryce,2016

3. Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners;Selen,2020

4. Predictive Maintenance in Dynamic Systems — Advanced Methods, Decision Support Tools and Real-World Applications;Lughofer,2019

5. Predictive Maintenance in Smart Factories: Architectures, Methodologies, and Use-Cases;Cerquitelli,2021

Cited by 1 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. Hybrid Approach Integrating Deep Learning-Autoencoder With Statistical Process Control Chart for Anomaly Detection: Case Study in Injection Molding Process;IEEE Access;2024

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