On predictive maintenance in industry 4.0: Overview, models, and challenges
In the era of the fourth industrial revolution, several concepts have arisen in parallel with this
new revolution, such as predictive maintenance, which today plays a key role in sustainable …
new revolution, such as predictive maintenance, which today plays a key role in sustainable …
Data mining in predictive maintenance systems: A taxonomy and systematic review
Predictive maintenance is a field of study whose main objective is to optimize the timing and
type of maintenance to perform on various industrial systems. This aim involves maximizing …
type of maintenance to perform on various industrial systems. This aim involves maximizing …
A deep learning model for predictive maintenance in cyber-physical production systems using lstm autoencoders
Condition monitoring of industrial equipment, combined with machine learning algorithms,
may significantly improve maintenance activities on modern cyber-physical production …
may significantly improve maintenance activities on modern cyber-physical production …
Intelligent worm gearbox fault diagnosis under various working conditions using vibration, sound and thermal features
Worm gearboxes (WG) are frequently used in many areas of the industry. WG is different
from other gearbox types and due to their working principles they are under high risk of wear …
from other gearbox types and due to their working principles they are under high risk of wear …
Artificial intelligence and real-time predictive maintenance in industry 4.0: a bibliometric analysis
AT Keleko, B Kamsu-Foguem, RH Ngouna, A Tongne - AI and Ethics, 2022 - Springer
The purpose of this article is to study the issues of industrial maintenance, one of the critical
drivers of Industry 4.0 (I4. 0), which has contributed to the advent of new industrial …
drivers of Industry 4.0 (I4. 0), which has contributed to the advent of new industrial …
Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions
Effective municipal solid waste management is essential for public health, environmental
protection, economic benefits, and clean energy generation for future commercial …
protection, economic benefits, and clean energy generation for future commercial …
An IIoT-driven and AI-enabled framework for smart manufacturing system based on three-terminal collaborative platform
L Bu, Y Zhang, H Liu, X Yuan, J Guo, S Han - Advanced Engineering …, 2021 - Elsevier
Smart manufacturing has great potential in the development of network collaboration, mass
personalised customisation, sustainability and flexibility. Customised production can better …
personalised customisation, sustainability and flexibility. Customised production can better …
Predictive maintenance on sensorized stamping presses by time series segmentation, anomaly detection, and classification algorithms
Sheet metal forming tools, like stamping presses, play an ubiquitous role in the manufacture
of several products. With increasing requirements of quality and efficiency, ensuring …
of several products. With increasing requirements of quality and efficiency, ensuring …
[HTML][HTML] A predictive maintenance model using long short-term memory neural networks and Bayesian inference
D Pagano - Decision Analytics Journal, 2023 - Elsevier
The fourth industrial revolution is a profound transformation utilizing emerging technologies
like smart automation, large-scale machine-to-machine communication, and the internet of …
like smart automation, large-scale machine-to-machine communication, and the internet of …
Advancements in condition monitoring and fault diagnosis of rotating machinery: A comprehensive review of image-based intelligent techniques for induction motors
Recently, condition monitoring (CM) and fault detection and diagnosis (FDD) techniques for
rotating machinery (RM) have witnessed substantial advancements in recent decades …
rotating machinery (RM) have witnessed substantial advancements in recent decades …