Data-driven soft sensors in blast furnace ironmaking: a survey
The blast furnace is a highly energy-intensive, highly polluting, and extremely complex
reactor in the ironmaking process. Soft sensors are a key technology for predicting molten …
reactor in the ironmaking process. Soft sensors are a key technology for predicting molten …
Combined fault location and classification for power transmission lines fault diagnosis with integrated feature extraction
YQ Chen, O Fink, G Sansavini - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
Accurate and timely diagnosis of transmission line faults is key for reliable operations of
power systems. Existing fault-diagnosis methods rely on expert knowledge or extensive …
power systems. Existing fault-diagnosis methods rely on expert knowledge or extensive …
Image-based three-dimensional human pose recovery by multiview locality-sensitive sparse retrieval
Image-based 3-D human pose recovery is usually conducted by retrieving relevant poses
with image features. However, it suffers from the high dimensionality of image features and …
with image features. However, it suffers from the high dimensionality of image features and …
WPD-PCA-based laser welding process monitoring and defects diagnosis by using FNN and SVM
Recent years have seen increasing attention paid to laser welding monitoring. This paper
introduces an innovative approach to perform laser welding process monitoring and welded …
introduces an innovative approach to perform laser welding process monitoring and welded …
Data-driven robust M-LS-SVR-based NARX modeling for estimation and control of molten iron quality indices in blast furnace ironmaking
Optimal operation of an industrial blast furnace (BF) ironmaking process largely depends on
a reliable measurement of molten iron quality (MIQ) indices, which are not feasible using the …
a reliable measurement of molten iron quality (MIQ) indices, which are not feasible using the …
Data-driven nonlinear subspace modeling for prediction and control of molten iron quality indices in blast furnace ironmaking
Blast furnace (BF) in ironmaking is a nonlinear dynamic process with complicated physical-
chemical reactions, where multiphases and multifields interactions with long time delay …
chemical reactions, where multiphases and multifields interactions with long time delay …
EMD-based pulsed TIG welding process porosity defect detection and defect diagnosis using GA-SVM
A portable spectrometer based on a linear CCD is designed with real-time acquisition and
processing of spectral data in the welding process of aluminum alloys. An innovative method …
processing of spectral data in the welding process of aluminum alloys. An innovative method …
Stochastic configuration networks with block increments for data modeling in process industries
Stochastic configuration networks (SCNs) that employ a supervisory mechanism to
automatically and fast construct universal approximators can achieve promising …
automatically and fast construct universal approximators can achieve promising …
Blast furnace hot metal temperature and silicon content prediction using soft sensor based on fuzzy C-means and exogenous nonlinear autoregressive models
DOL Fontes, LGS Vasconcelos, RP Brito - Computers & Chemical …, 2020 - Elsevier
The temperature and silicon content of hot metal are essential parameters for the thermal
control of a blast furnace. However, the physical structure of the blast furnace prevents direct …
control of a blast furnace. However, the physical structure of the blast furnace prevents direct …
Data-driven robust RVFLNs modeling of a blast furnace iron-making process using Cauchy distribution weighted M-estimation
Optimal operation of a practical blast furnace (BF) iron-making process depends largely on a
good measurement of molten iron quality (MIQ) indices. However, measuring the MIQ online …
good measurement of molten iron quality (MIQ) indices. However, measuring the MIQ online …