Application of sensor data based predictive maintenance and artificial neural networks to enable Industry 4.0
JM Fordal, P Schjølberg, H Helgetun… - Advances in …, 2023 - Springer
Possessing an efficient production line relies heavily on the availability of the production
equipment. Thus, to ensure that the required function for critical equipment is in compliance …
equipment. Thus, to ensure that the required function for critical equipment is in compliance …
A non-intrusive Industry 4.0 retrofitting approach for collaborative maintenance in traditional manufacturing
The recent COVID-19 outbreak impact on the world economy has boosted the increasing
business needs to force manufacturing plants adapting to unpredictable changes and …
business needs to force manufacturing plants adapting to unpredictable changes and …
Assessing the barriers to industry 4.0 implementation from a maintenance management perspective-pilot study results
The purpose of this paper is to identify the barriers of I4. 0 technologies implementation in
maintenance. Based on literature analysis twenty two barriers of I4. 0 technologies …
maintenance. Based on literature analysis twenty two barriers of I4. 0 technologies …
Adaptive supervisory control for a class of Petri nets with bimodal transitions
This paper presents a novel notion of a transition that has two kinds of conditions:
observable and unobservable modes. In this study, such a transition under the two kinds of …
observable and unobservable modes. In this study, such a transition under the two kinds of …
A review of artificial intelligence applications in wind turbine health monitoring
A Sasinthiran, S Gnanasekaran… - International Journal of …, 2024 - Taylor & Francis
Wind energy is a promising renewable source, necessitating effective monitoring of wind
turbine (WT) conditions for reliable and cost-effective energy production, amidst …
turbine (WT) conditions for reliable and cost-effective energy production, amidst …
A data-based tool failure prevention approach in progressive die stam**
D Farioli, E Kaya, A Fumagalli, P Cattaneo… - Journal of Manufacturing …, 2023 - mdpi.com
The research on methods for monitoring sheet metal stam** is benefiting from the
increased availability of enabling technologies such as sensors, data mining software, cloud …
increased availability of enabling technologies such as sensors, data mining software, cloud …
Analysis of barriers to Maintenance 4.0 in manufacturing industries
Purpose Asset maintenance in manufacturing industries is a critical issue as organizations
are highly sensitive towards maximizing asset uptime. In the advent of Industry 4.0 …
are highly sensitive towards maximizing asset uptime. In the advent of Industry 4.0 …
Non-intrusive Anomaly Detection of Industrial Robot Operations by Exploiting Nonlinear Effect
With the development of Internet of Robotic Things concept, low-cost radio technologies
open up many opportunities to facilitate the monitoring system of industrial robots, while the …
open up many opportunities to facilitate the monitoring system of industrial robots, while the …
A Model to Optimize Maintenance Through Implementing Industry 4.0 Technologies
S Essalih, Z El Haouat, M Ramadany, F Bennouna… - Heliyon, 2025 - cell.com
Against the backdrop of the fourth industrial revolution, manufacturing companies seek to
boost profits by incorporating the digital technologies of Industry 4.0. Maintenance has an …
boost profits by incorporating the digital technologies of Industry 4.0. Maintenance has an …
Digitalization of the value chain-improving value chain performance with prediction
JM Fordal - 2023 - ntnuopen.ntnu.no
Industry has high expectations for the possibilities offered by increased use of digital data
and digital technologies, often referred to as digitalization. Many have highlighted …
and digital technologies, often referred to as digitalization. Many have highlighted …