[HTML][HTML] Time Series Prediction in Industry 4.0: A Comprehensive Review and Prospects for Future Advancements
N Kashpruk, C Piskor-Ignatowicz, J Baranowski - Applied Sciences, 2023 - mdpi.com
Time series prediction stands at the forefront of the fourth industrial revolution (Industry 4.0),
offering a crucial analytical tool for the vast data streams generated by modern industrial …
offering a crucial analytical tool for the vast data streams generated by modern industrial …
[HTML][HTML] Data science methods and tools for industry 4.0: A systematic literature review and taxonomy
The Fourth Industrial Revolution, also named Industry 4.0, is leveraging several modern
computing fields. Industry 4.0 comprises automated tasks in manufacturing facilities, which …
computing fields. Industry 4.0 comprises automated tasks in manufacturing facilities, which …
[HTML][HTML] Application of XGB-based metaheuristic techniques for prediction time-to-failure of mining machinery
Mining equipment is a critical component in the success of mining operations, and
unplanned downtime can be costly. Efficient and intelligent maintenance planning is …
unplanned downtime can be costly. Efficient and intelligent maintenance planning is …
[PDF][PDF] Machine Learning-Based Predictive Maintenance of Industrial Machines
IoT (IIoT) enables machines, people, cloud computing and analytics to function together,
improving the performance and productivity of industrial processes. Earlier maintenance of …
improving the performance and productivity of industrial processes. Earlier maintenance of …
Rolling Bearing Remaining Useful Life Prediction Based on CNN-VAE-MBiLSTM
L Yang, Y Jiang, K Zeng, T Peng - Sensors, 2024 - mdpi.com
Ensuring precise prediction of the remaining useful life (RUL) for bearings in rolling
machinery is crucial for preventing sudden machine failures and optimizing equipment …
machinery is crucial for preventing sudden machine failures and optimizing equipment …
[PDF][PDF] Application of Tiny Machine Learning in Predicative Maintenance in Industries
The advancements in the Internet of Things (IoT) and Machine Learning (ML) have enabled
significant improvements in Predictive Maintenance (PdM) in industries, providing economic …
significant improvements in Predictive Maintenance (PdM) in industries, providing economic …
Enhancing Edge-Based Federated Learning with Privacy-Preserving Gradient Transmission for Tool Wear Detection
CW Hung, CY Tsai, CH Lee - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
This article focuses on the development of a personalized federated learning (PFL) edge
training platform that ensures privacy during gradient transmission (both uploading and …
training platform that ensures privacy during gradient transmission (both uploading and …
Predictive maintenance model using hybrid procedure of improved Quantum Cat swarm optimisation for asset management in industry 4.0
Contemporary manufacturing system design centres on the Industry 4.0 paradigm. A
versatile platform secondary the efficient optimisation of manufacturing-related activities …
versatile platform secondary the efficient optimisation of manufacturing-related activities …
Challenges of Machine Failure Prediction with Product Data-A Case Study
D Buhl, C Lanquillon - International Conference on Human-Computer …, 2024 - Springer
Predictive maintenance aims to minimize downtime and component costs by predicting
machine failures. However, the implementation of such a failure prediction system poses …
machine failures. However, the implementation of such a failure prediction system poses …
Machine Learning-Based Predictive Maintenance using Data Aggregation via Regularized Clustering
L Lyubchyk, G Grinberg… - 2023 13th International …, 2023 - ieeexplore.ieee.org
The paper is devoted to the development of a technique for classifying failures in predictive
maintenance based on machine learning on aggregated data. A feature of the proposed …
maintenance based on machine learning on aggregated data. A feature of the proposed …