Toward learning steelmaking—A review on machine learning for basic oxygen furnace process

MK Ghalati, J Zhang, G El‐Fallah… - Materials Genome …, 2023 - Wiley Online Library
Basic oxygen furnace (BOF) steelmaking is the most widely used process in global steel
production today, accounting for around 70% of the industry's output. Due to the physical …

Anomaly Detection in Industrial Machinery Using IoT Devices and Machine Learning: A Systematic Mapping

SF Chevtchenko, EDS Rocha, MCM Dos Santos… - IEEE …, 2023 - ieeexplore.ieee.org
Anomaly detection is critical in the smart industry for preventing equipment failure, reducing
downtime, and improving safety. Internet of Things (IoT) has enabled the collection of large …

Soft Computing Application in Mining, Mineral Processing and Metallurgy with an Approach to Using It in Mineral Waste Disposal

N Herrera, M Sinche Gonzalez, J Okkonen… - Minerals, 2023 - mdpi.com
In the past two decades, the mining sector has increasingly embraced simulation and
modelling techniques for decision-making processes. This adoption has facilitated …

Femtosecond Laser–Inscribed Fiber Bragg Grating Sensors: Enabling Distributed High-Temperature Measurements and Strain Monitoring in Steelmaking and …

OC Inalegwu, YR Mekala, RK Saha, F Mumtaz, DR Alla… - 2024 - scholarsmine.mst.edu
This study demonstrates the use of fiber Bragg grating (FBG) sensors for distributed
temperature and strain monitoring in steelmaking and foundry applications. Integrated into …

[HTML][HTML] An unsupervised end-to-end approach to fault detection in delta 3D printers using deep support vector data description

L Zhang, J Lin, H Shao, Z Yang, B Liu, C Li - Journal of manufacturing …, 2024 - Elsevier
Fault detection in 3D printers is crucial for safety and quality assurance, emphasizing
proactive prediction over reactive rectification based on manufacturing factors. Presently …

Functional state-space model for multi-channel autoregressive profiles with application in advanced manufacturing

P Zhou, P Liu, S Wang, C Zhang, J Zhang… - Journal of Manufacturing …, 2022 - Elsevier
Multi-channel profile data analysis is an important research topic in modern quality
management for advanced manufacturing. The most crucial part is how to model the profile …

Profile extraction and defect detection for stereolithography curing process based on multi-regularized tensor decomposition

Y Zhang, T Zhang, J Liu, W Kang, R Liang… - Journal of Manufacturing …, 2024 - Elsevier
Optical lenses cured from the stereolithography process are still at their primitive stage,
where the detection of process faults and product defects is of great importance. Such …

New green and low-carbon technology for all-sensible heat recovery of converter gas

J Zhao, B Li, X Wei, T Li, S Li - Journal of Cleaner Production, 2024 - Elsevier
The smelting process of converter determines the explosive, dusty and intermittent nature of
gas itself. Therefore, either the way of water (oxygen converter gas recovery system) or mist …

A metallurgical dynamics-based method for production state characterization and end-point time prediction of basic oxygen furnace steelmaking

Q Qian, Q Dong, J Xu, W Zhao, M Li - Metals, 2022 - mdpi.com
Basic Oxygen Furnace (BOF) steelmaking is an important way for steel production. Correctly
recognizing different blowing periods and abnormal refining states is significant to ensure …

Monitoring and diagnosis of complex production process based on free energy of Gaussian–Bernoulli restricted Boltzmann machine

Q Dong, Q Qian, M Li, G Xu - Journal of Iron and Steel Research …, 2023 - Springer
Online monitoring and diagnosis of production processes face great challenges due to the
nonlinearity and multivariate of complex industrial processes. Traditional process monitoring …