Monitoring and predicting the surface generation and surface roughness in ultraprecision machining: A critical review

K Manjunath, S Tewary, N Khatri, K Cheng - Machines, 2021 - mdpi.com
The aim of manufacturing can be described as achieving the predefined high quality product
in a short delivery time and at a competitive cost. However, it is unfortunately quite …

Path enhanced bidirectional graph attention network for quality prediction in multistage manufacturing process

D Zhang, Z Liu, W Jia, H Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Quality prediction, as the basis of quality control, is dedicated to predicting quality indices of
the manufacturing process. In recent years, data-driven deep learning methods have …

Feature selection and domain adaptation for cross-machine product quality prediction

Y Wang, W Cui, NK Vuong, Z Chen, Y Zhou… - Journal of Intelligent …, 2023 - Springer
Today's manufacturing systems are becoming increasingly complex, dynamic and
connected hence continual prediction of manufactured product quality is a key to look for …

Contrastive Decoder Generator for Few-Shot Learning in Product Quality Prediction

D Zhang, Z Liu, W Jia, H Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Quality prediction is committed to predicting the key quality-related variables to obtain real-
time feedback information for process control. To achieve the robust and transferable quality …

[PDF][PDF] Monitoring and Predicting the Surface Generation and Surface Roughness in Ultraprecision Machining: A Critical Review. Machines 2021, 9, 369

K Manjunath, S Tewary, N Khatri, K Cheng - 2021 - academia.edu
The aim of manufacturing can be described as achieving the predefined high quality product
in a short delivery time and at a competitive cost. However, it is unfortunately quite …

[图书][B] A Sequential Cross-Product Knowledge Accumulation, Extraction and Transfer Framework

J Xie - 2022 - search.proquest.com
The progress of machine learning (ML) in the past years has opened up new opportunities
to the field of engineering system modelling. However, successful implementation of ML …

Challenges for Predictive Quality in Multi-stage Manufacturing: Insights from Literature Review

B Bretones Cassoli, J Metternich - … of the 3rd International Workshop on …, 2023 - dl.acm.org
This paper investigates data quality challenges in applying predictive quality solutions for
multi stage discrete manufacturing. Through an analysis of existing research via systematic …

Graph representation learning for predictive quality in multi-stage discrete manufacturing

B Bretones Cassoli Nevejan - tuprints.ulb.tu-darmstadt.de
This thesis addresses the need for predictive quality control methods in multi-stage discrete
manufacturing processes to enhance operational efficiency and product quality. Traditional …

[引用][C] Graph representation learning for predictive quality in multi-stage discrete manufacturing

B Bretones Cassoli - 2024 - Dissertation, Darmstadt, Technische …