From data to big data in production research: the past and future trends
Data have been utilised in production research in meaningful ways for decades. Recent
years have offered data in larger volumes and improved quality collected from diverse …
years have offered data in larger volumes and improved quality collected from diverse …
Condition monitoring of machine tool feed drives: A review
The innovations propelling the manufacturing industry towards Industry 4.0 have begun to
maneuver into machine tools. Machine tool maintenance primarily concerns the feed drives …
maneuver into machine tools. Machine tool maintenance primarily concerns the feed drives …
Intelligent fault diagnosis by fusing domain adversarial training and maximum mean discrepancy via ensemble learning
Y Li, Y Song, L Jia, S Gao, Q Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, the industrial Internet of Things (IIoT) has been successfully utilized in smart
manufacturing. The massive amount of data in IIoT promote the development of deep …
manufacturing. The massive amount of data in IIoT promote the development of deep …
A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment
Anomaly in mechanical systems may cause equipment to break down with serious safety,
environment, and economic impact. Since many mechanical equipment usually operates …
environment, and economic impact. Since many mechanical equipment usually operates …
In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks
Critical quality issues such as high porosity, cracks, and delamination are common in current
selective laser melting (SLM) manufactured components. This study provides a flexible and …
selective laser melting (SLM) manufactured components. This study provides a flexible and …
Intelligent ball screw fault diagnosis using a deep domain adaptation methodology
Intelligent data-driven fault diagnosis methods have been successfully developed in the
recent years. However, as one of the most important machines in the industries, the ball …
recent years. However, as one of the most important machines in the industries, the ball …
Data-informed inverse design by product usage information: a review, framework and outlook
L Hou, RJ Jiao - Journal of Intelligent Manufacturing, 2020 - Springer
A significant body of knowledge exists on inverse problems and extensive research has
been conducted on data-driven design in the past decade. This paper provides a …
been conducted on data-driven design in the past decade. This paper provides a …
[HTML][HTML] Recent advances on machine learning applications in machining processes
F Aggogeri, N Pellegrini, FL Tagliani - Applied sciences, 2021 - mdpi.com
This study aims to present an overall review of the recent research status regarding Machine
Learning (ML) applications in machining processes. In the current industrial systems …
Learning (ML) applications in machining processes. In the current industrial systems …
Multisensor-based tool wear diagnosis using 1D-CNN and DGCCA
Y Yin, S Wang, J Zhou - Applied Intelligence, 2023 - Springer
Bad conditions during machining cause tool chatter, wear, or breakage, which affect the tool
life and consequently the surface quality and dimensional accuracy of the machined …
life and consequently the surface quality and dimensional accuracy of the machined …
[HTML][HTML] Toward intelligent machine tool
J Chen, P Hu, H Zhou, J Yang, J Xie, Y Jiang, Z Gao… - Engineering, 2019 - Elsevier
With the development of modern information technology—and particularly of the new
generation of artificial intelligence (AI) technology—new opportunities are available for the …
generation of artificial intelligence (AI) technology—new opportunities are available for the …