Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges
In recent years, the fourth industrial revolution has attracted attention worldwide. Several
concepts were born in conjunction with this new revolution, such as predictive maintenance …
concepts were born in conjunction with this new revolution, such as predictive maintenance …
[HTML][HTML] Significance of sensors for industry 4.0: Roles, capabilities, and applications
Sensors play a crucial role in factory automation in making the system intellectual. Different
types of sensors are available as per the suitability and applications; some of them are …
types of sensors are available as per the suitability and applications; some of them are …
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0
Abstract The Internet of Things (IoT), Big Data and Machine Learning (ML) may represent
the foundations for implementing the concept of intelligent production, smart products …
the foundations for implementing the concept of intelligent production, smart products …
Machine learning techniques applied to mechanical fault diagnosis and fault prognosis in the context of real industrial manufacturing use-cases: a systematic literature …
M Fernandes, JM Corchado, G Marreiros - Applied Intelligence, 2022 - Springer
When put into practice in the real world, predictive maintenance presents a set of challenges
for fault detection and prognosis that are often overlooked in studies validated with data from …
for fault detection and prognosis that are often overlooked in studies validated with data from …
An evaluative study on IoT ecosystem for smart predictive maintenance (IoT-SPM) in manufacturing: Multiview requirements and data quality
With the recent advances of the Internet of Things (IoT), innovative techniques, and concepts
have emerged, such as digital twins and industrial 4.0. As one of the essential parts of a …
have emerged, such as digital twins and industrial 4.0. As one of the essential parts of a …
[HTML][HTML] Paradigm shift for predictive maintenance and condition monitoring from Industry 4.0 to Industry 5.0: A systematic review, challenges and case study
AA Murtaza, A Saher, MH Zafar, SKR Moosavi… - Results in …, 2024 - Elsevier
This paper examines the integration of Industry 5.0 principles with advanced predictive
maintenance (PdM) and condition monitoring (CM) practices, based on Industry 4.0's …
maintenance (PdM) and condition monitoring (CM) practices, based on Industry 4.0's …
Data-driven remaining useful life estimation for milling process: sensors, algorithms, datasets, and future directions
An increase in unplanned downtime of machines disrupts and degrades the industrial
business, which results in substantial credibility damage and monetary loss. The cutting tool …
business, which results in substantial credibility damage and monetary loss. The cutting tool …
Retrofitting-based development of brownfield industry 4.0 and industry 5.0 solutions
The ongoing Industry 4.0 is characterized by the connectivity between components in the
manufacturing system. For modern machines, the Internet of Things is a built-in function. In …
manufacturing system. For modern machines, the Internet of Things is a built-in function. In …
Smart retrofitting in manufacturing: A systematic review
D Jaspert, M Ebel, A Eckhardt… - Journal of Cleaner …, 2021 - Elsevier
The transition towards smart manufacturing is challenging for companies with a
considerable installed base of legacy machines and equipment. In this regard, smart …
considerable installed base of legacy machines and equipment. In this regard, smart …
A model for predictive maintenance based on Asset Administration Shell
S Cavalieri, MG Salafia - Sensors, 2020 - mdpi.com
Maintenance is one of the most important aspects in industrial and production environments.
Predictive maintenance is an approach that aims to schedule maintenance tasks based on …
Predictive maintenance is an approach that aims to schedule maintenance tasks based on …