Big data analytics for intelligent manufacturing systems: A review
With the development of Internet of Things (IoT), 5 G, and cloud computing technologies, the
amount of data from manufacturing systems has been increasing rapidly. With massive …
amount of data from manufacturing systems has been increasing rapidly. With massive …
[PDF][PDF] Towards the 5th industrial revolution: A literature review and a framework for process optimization based on big data analytics and semantics
D Mourtzis - Journal of Machine Engineering, 2021 - bibliotekanauki.pl
The digitalization of modern manufacturing systems has resulted to increasing data
generation, also known as Big Data. Although there are several technologies and …
generation, also known as Big Data. Although there are several technologies and …
Large scale foundation models for intelligent manufacturing applications: a survey
H Zhang, SD Semujju, Z Wang, X Lv, K Xu… - Journal of Intelligent …, 2025 - Springer
Although the applications of artificial intelligence especially deep learning have greatly
improved various aspects of intelligent manufacturing, they still face challenges for broader …
improved various aspects of intelligent manufacturing, they still face challenges for broader …
[PDF][PDF] A Review of Manufacturing Big Data: Connotation, Methodology, Application and Trends
汪俊亮， 高鹏捷， 张洁， 王力翚 - Journal of Mechanical Engineering, 2023 - qikan.cmes.org
With the development of the 5G, Internet of Things (IoT), and cloud computing technologies,
big data in manufacturing systems has become to be a key resource to enable the intelligent …
big data in manufacturing systems has become to be a key resource to enable the intelligent …
Data-driven Energy Consumption Prediction Method of CNC Turning Based on Meta-action.
LI Conbo, YIN Yuxian, X Qine… - China Mechanical …, 2020 - search.ebscohost.com
Aiming at the problems of low accuracy and poor generalization of conventional energy
consumption prediction model, a data-driven energy consumption prediction method of CNC …
consumption prediction model, a data-driven energy consumption prediction method of CNC …
[PDF][PDF] Graph structure and temporal data driven remaining useful life prediction method for machinery
沈天浩， 丁康， 黎杰， 黄如意， **巍华 - Journal of Mechanical …, 2023 - qikan.cmes.org
With the digital and intelligent transformation in manufacturing industry, the data-driven
intelligent maintenance for machinery has been attracted more and more attention from both …
intelligent maintenance for machinery has been attracted more and more attention from both …
数字孪生与深度学**融合驱动的 采煤机健康状态预测.
丁华， 杨亮亮， 杨兆建， 王义亮 - China Mechanical …, 2020 - search.ebscohost.com
针对处于恶劣工作环境的采煤机状态预测与维护困难的问题, 结合数字孪生高逼真度行为仿真
特性和深度学****大的数据挖掘能力, 提出数字孪生与深度学**融合驱动的采煤机健康状态预测 …
特性和深度学****大的数据挖掘能力, 提出数字孪生与深度学**融合驱动的采煤机健康状态预测 …
A Remaining Useful Life Prediction Method of Mechanical Equipment Based on Particle Swarm Optimization-Convolutional Neural Network-Bidirectional Long Short …
Y Liu, J Liu, H Wang, M Yang, X Gao, S Li - Machines, 2024 - mdpi.com
In industry, forecast prediction and health management (PHM) is used to improve system
reliability and efficiency. In PHM, remaining useful life (RUL) prediction plays a key role in …
reliability and efficiency. In PHM, remaining useful life (RUL) prediction plays a key role in …
[PDF][PDF] 图结构联合时序数据驱动的装备剩余使用寿命预测方法
沈天浩， 丁康， 黎杰， 黄如意， **巍华 - 机械工程学报, 2023 - qikan.cmes.org
随着制造业向数字化, 智能化方向转型升级, 基于数据驱动的装备智能运维成为了学术界和工业
界研究的潮流. 然而, 当前剩余寿命预测方法存在时序信息提取能力弱, 难以建立监测数据与装备 …
界研究的潮流. 然而, 当前剩余寿命预测方法存在时序信息提取能力弱, 难以建立监测数据与装备 …
Attribute reduction method based on generalized grey relational analysis and decision-making trial and evaluation laboratory
Z Zhang, X Yang, Y Xue, L Gong, J Li - IEEE Access, 2020 - ieeexplore.ieee.org
Attribute reduction is a challenging issue in intelligent manufacturing. Existing methods are
mainly based on rough set theory (RST) focusing on symbolic and discrete values. However …
mainly based on rough set theory (RST) focusing on symbolic and discrete values. However …