Identification of Abnormal Conditions for Fused Magnesium Melting Process Based on Deep Learning and Multisource Information Fusion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3070512
Abstract: Fused magnesium furnace (FMF) is the vital equipment for magnesia refractory production. The melting process of FMF is subject to melting temperature, magnesite quality and composition, and much more dynamic factors, which are prone to… read more here.
Keywords: process; information fusion; based deep; abnormal conditions ... See more keywords
Image-Driven Wall-Damage Detection in Monitoring Electrical Fused Magnesia Furnace
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2025.3567274
Abstract: Detecting abnormal conditions in an electrical fused magnesia furnace (EFMF) is challenging due to the difficulties in measuring ultra-high temperature, fluctuation of raw materials, uncertain boundary conditions, and numerous processing variables. In practice, images acquired… read more here.
Keywords: magnesia furnace; abnormal conditions; fused magnesia; electrical fused ... See more keywords
Abnormal Condition Monitoring Based on Multiview Data Collaborative Feature Regression
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3277987
Abstract: A complex industrial process is dynamic and unpredictable, and it is impractical to prevent all abnormal conditions. In practice, the occurrence, development, and elimination of abnormal conditions take different states in different views. Traditional single-view-based… read more here.
Keywords: multiview data; feature regression; multiview; abnormal conditions ... See more keywords
M3AN: Multitask Multirange Multisubgraph Attention Network for Condition-Aware Traffic Prediction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3216678
Abstract: Traffic prediction under various conditions is an important but challenging task. Latest studies have achieved promising results but suffer degraded performance without exception under abnormal conditions (e.g., accidents), as the traffic patterns under abnormal conditions… read more here.
Keywords: traffic prediction; abnormal conditions; attention network; traffic ... See more keywords
Modeling and Testing of a Phasor Measurement Unit Under Normal and Abnormal Conditions Using Real-Time Simulator
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DOI: 10.3390/en18143624
Abstract: Abnormal operations, such as faults occurring in an electrical power system (EPS), disrupt its balanced operation, posing potential hazards to human lives and the system’s equipment. Effective monitoring, control, protection, and coordination are essential to… read more here.
Keywords: system; real time; phasor measurement; abnormal conditions ... See more keywords