A data-driven predictive maintenance framework for injection molding process-Reference-Cited by-同舟云学术

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A data-driven predictive maintenance framework for injection molding process

Published:2022-08 Issue: Volume:80 Page:887-897
ISSN:1526-6125
Container-title:Journal of Manufacturing Processes
language:en
Short-container-title:Journal of Manufacturing Processes

Author:

Farahani Saeed,Khade Vinayak,Basu Shouvik,Pilla Srikanth

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Reference29 articles.

1. Smart manufacturing based on cyber-physical systems and beyond;Yao;J Intell Manuf,2019

2. Towards multi-tiered quality control in manufacturing of plastics and composites using Industry 4.0;Farahani,2020

3. A machine learning-based framework for automatic identification of process and product fingerprints for smart manufacturing systems;Kundu;J Manuf Process,2022

4. Industry 4.0: state of the art and future trends;Da Xu;Int J Prod Res,2018

5. Data fusion and machine learning for industrial prognosis: trends and perspectives towards Industry 4.0;Diez-Olivan;Inf Fusion,2019

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1. Spatio-temporal information analytics based performance-driven industrial process monitoring framework with cloud–edge-device collaboration;Journal of Manufacturing Processes;2024-01

2. Comparative analysis of artificial neural network model and analysis of variance for predicting defect formation in plastic injection moulding processes;IOP Conference Series: Materials Science and Engineering;2023-12-01

3. Dynamic optimal control of flow front position in injection molding process: A control parameterization-based method;Journal of Process Control;2023-12

4. Effect of mold temperature on properties of hybrid biocomposites from semicrystalline polymers and agro-industrial by-products;Journal of Reinforced Plastics and Composites;2023-11-10

5. A Robot-Operation-System-Based Smart Machine Box and Its Application on Predictive Maintenance;Sensors;2023-10-15

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