[HTML][HTML] Exploring impact and features of machine vision for progressive industry 4.0 culture
Abstract Machine Vision (MV), like other digital technologies, is a critical component of
Industry 4.0. The high volume of data accessible by visual equipment can well quickly detect …
Industry 4.0. The high volume of data accessible by visual equipment can well quickly detect …
A review on the characteristics of cyber-physical systems for the future smart factories
The emergence of new technologies is providing new ways to compete in the current context
of changeable and unpredictable market requirements. The focus of this paper is on Cyber …
of changeable and unpredictable market requirements. The focus of this paper is on Cyber …
An update method for digital twin multi-dimension models
Digital twin, as an effective means to realize the fusion between physical and virtual spaces,
has attracted more and more attention in the past few years. Based on ultra-fidelity models …
has attracted more and more attention in the past few years. Based on ultra-fidelity models …
In-sensor image memorization and encoding via optical neurons for bio-stimulus domain reduction toward visual cognitive processing
As machine vision technology generates large amounts of data from sensors, it requires
efficient computational systems for visual cognitive processing. Recently, in-sensor …
efficient computational systems for visual cognitive processing. Recently, in-sensor …
[HTML][HTML] Degradation curves integration in physics-based models: Towards the predictive maintenance of industrial robots
P Aivaliotis, Z Arkouli, K Georgoulias… - Robotics and computer …, 2021 - Elsevier
Predictive maintenance has been proposed to maximize the overall plant availability of
modern manufacturing systems. To this end, research has been conducted mainly on data …
modern manufacturing systems. To this end, research has been conducted mainly on data …
In-process tool condition forecasting based on a deep learning method
It is widely acknowledged that machining precision and surface integrity are greatly affected
by cutting tool conditions. In order to enable early cutting tool replacement and proactive …
by cutting tool conditions. In order to enable early cutting tool replacement and proactive …
Transfer learning enabled convolutional neural networks for estimating health state of cutting tools
Abstract Effective Prognostics and Health Management (PHM) for cutting tools during
Computerized Numerical Control (CNC) processes can significantly reduce downtime and …
Computerized Numerical Control (CNC) processes can significantly reduce downtime and …
Intelligent tool wear prediction based on Informer encoder and stacked bidirectional gated recurrent unit
W Li, H Fu, Z Han, X Zhang, H ** - Robotics and Computer-Integrated …, 2022 - Elsevier
Tool wear prediction is critical to the safety of the machining environment and the reliability
of machining quality. To achieve accurate prediction, we propose a novel deep learning …
of machining quality. To achieve accurate prediction, we propose a novel deep learning …
The interplay between digital transformation and governance mechanisms in supply chains: evidence from the Italian automotive industry
Purpose This paper aims to investigate the effect of specific subsets of digital technologies
and governance mechanisms (ie relational and contractual) on the efficiency of the …
and governance mechanisms (ie relational and contractual) on the efficiency of the …
Machine vision based adaptive online condition monitoring for milling cutter under spindle rotation
Tool condition monitoring (TCM) is an important guarantee for quality evaluation of products
and parameter optimization of machining operations. The direct methods of TCM have made …
and parameter optimization of machining operations. The direct methods of TCM have made …