MTW European Type Trapezium Mill
Input size:30-50mm
Capacity: 3-50t/h
LM Vertical Roller Mill
Input size:38-65mm
Capacity: 13-70t/h
Raymond Mill
Input size:20-30mm
Capacity: 0.8-9.5t/h
Sand powder vertical mill
Input size:30-55mm
Capacity: 30-900t/h
LUM series superfine vertical roller grinding mill
Input size:10-20mm
Capacity: 5-18t/h
MW Micro Powder Mill
Input size:≤20mm
Capacity: 0.5-12t/h
LM Vertical Slag Mill
Input size:38-65mm
Capacity: 7-100t/h
LM Vertical Coal Mill
Input size:≤50mm
Capacity: 5-100t/h
TGM Trapezium Mill
Input size:25-40mm
Capacity: 3-36t/h
MB5X Pendulum Roller Grinding Mill
Input size:25-55mm
Capacity: 4-100t/h
Straight-Through Centrifugal Mill
Input size:30-40mm
Capacity: 15-45t/h
Fused magnesium limestone transformer
Working condition recognition of fused magnesium furnace based
2024年3月1日 The data preprocessing module first performs hybrid data enhancement on the working condition sample set of fused magnesium furnace, including generative data A novel crossmodal Transformer dubbed FmFormer, for both classlevel and pixellevel anomaly detection in fused magnesium smelting processes The FmFormer progressively encodes the CrossModal Learning for Anomaly Detection in Fused Magnesium 2024年3月1日 Prediction of abnormal conditions for fused magnesium furnace based on improved LSTM model and rulebased reasoningVideobased working condition recognition of fused magnesium 2017年7月1日 Fused magnesia smelting for fused magnesium furnace (FMF) is an energy intensive process with high temperature and comprehensive complexities Its operational A CPS Based Optimal Operational Control System for Fused
JOURNAL OF LA CrossModal Learning for Anomaly Detection in
• A novel crossmodal Transformer dubbed FmFormer, for both classlevel and pixellevel anomaly detection in fused magnesium smelting processes The FmFormer progressively 2023年7月19日 This paper proposes a working condition recogition model of fused magnesium furnace based on stochastic configuration networks and reinforcement learning Firstly, a Working condition recogition of fused magnesium furnace based 2021年12月29日 The threeelectrode alternating current fused magnesia furnace (AFMF) system plays the most important role in both MOPs and LMPs, and the system in electric fused plants mainly consists of a highvoltage Performance Evaluation of a FullScale Fused Magnesia Thirdly, based on Transformer, the working condition recognition network of fused magnesium furnace is constructed to improve the global correlation between adjacent local features in the Working condition recognition of fused magnesium furnace based
CrossModal Learning for Anomaly Detection in Fused Magnesium
2024年6月13日 Fused Magnesium Furnace (FMF) is a crucial industrial equipment in the production of magnesia, and anomaly detection plays a pivotal role in ensuring its efficient, nition network of fused magnesium furnace is constructed to improve the global correlation between adjacent local features in the spatial dimension The fused features are sent to stochastic conguration networks to establish a classication criterion for working condition recognition of fused magnesium furnace with generalization abilityWorking condition recognition of fused magnesium furnace A novel crossmodal Transformer dubbed FmFormer, for both classlevel and pixellevel anomaly detection in fused magnesium smelting processes The FmFormer progressively encodes the internal features of each modality and the correlation feature across the modalities through a cascading structure of alternatively stacked selfattention and crossattentionCrossModal Learning for Anomaly Detection in Fused Magnesium 2017年7月1日 Successful application of this system has been made for a production line with ten fused magnesium furnaces in a factory in China, leading to a signific nt reduc d ECPT Keywords: Fused magnesium furnace, optimal operational control, cyberphysics system, embedded control systems 1A CPS Based Optimal Operational Control System for Fused Magnesium
[240609016] CrossModal Learning for Anomaly Detection in
2024年6月13日 This paper proposes a crossmodal Transformer (dubbed FmFormer), designed to facilitate anomaly detection by exploring the correlation between visual features (video) To validate the effectiveness of the proposed method, we also present a pioneering crossmodal benchmark of the fused magnesium smelting process, A novel convolutional recurrent neural network (CRNN)based method for the abnormal condition diagnosis of FMF is proposed, composed of a preprocessing of the original video, a convolutional neural network (CNN)based spatial feature extraction and a recurrent neural network (RNN)based temporal feature extraction and a weighted medianbased automatic labeling algorithm [PDF] Abnormal Condition Diagnosis Through Deep Learning of 2024年4月17日 AbstractWorking condition recognition of a fused magnesium furnace (FMF) suffers from unbalanced underburning condition samples, (3DcycleGAN) and Video Swin TransformerStochastic Configuration Networks (Video SwinSCNs) Firstly, Videobased working condition recognition of fused magnesium 2024年3月1日 As the world's largest producer of fused magnesia, China has a great demand for the unique threephase alternating current fused magnesium furnace (FMF) to smelt the magnesium ore that is characterized by low grade, composition fluctuation, complex mineral composition, etc Ore powder, which absorbs the heat generated by the electric arc, is heated Videobased working condition recognition of fused magnesium
Self‐optimization for smelting process of fused magnesium
2021年5月15日 The Canadian Journal of Chemical Engineering publishes influential research about the science, theory, and industrial practices of chemical and biochemical processesworld fused magnesium furnaces optimization problem I INTRODUCTION In many realworld complex optimization problems, it is Electrode current 1 Main Transformer 2 Singlefurnace Transformer 3 AC Current Transformer 4 Short Net 5 Motor 6 Console 7 Automatic Feeder 8 Electrode Holder 9 Electrode 10 Furnace Shell 11 Arc 12 Weld Pool 13 Car 1 ASmall Data Driven Evolutionary Multiobjective Optimization of Fused 2023年7月7日 The process operation performance assessment (POPA) of the smelting process of electrofused magnesium furnaces (EFMFs) plays a very important role for improving production quality and pursuing the highest economic benefit Most of the existing methods are based on the assumption of abundant labelled training samplesProcess operation performance assessment of electro‐fused magnesium —Fused Magnesium Furnace (FMF) is a crucial industrial equipment in the production of magnesia, and anomaly detection plays a pivotal role in ensuring its efficient, stable, and secure operation Existing anomaly detection methods primarily focus on analyzing dominant anomalies using the process variables (such as arc current) or constructing neural networks based on CrossModal Learning for Anomaly Detection in Fused Magnesium
FuseFormer: A Transformer for Visual and Thermal Image Fusion
2024年2月1日 Ongoing research explores diverse Transformer integrations, TransformerCNN combinations, and the utilization of auxiliary information to further enrich the fusion process [4, 26, 24, 36] The integration of deep learning methods has not only enhanced feature extraction capabilities but has also paved the way for more adaptive and robust solutions in the 2024年8月1日 Therefore, this paper proposes a fused magnesium furnace (FMF) abnormal condition selfhealing control method based on data augmentation and improved justintime learning (JITL) Firstly, data augmentation technology is used to generate virtual abnormal condition samples to expand the historical datasetSelfhealing control of abnormal conditions for fused magnesium This paper introduces a novel practice of using image based condition classification and visualization system to augment operators in the task of monitoring the working condition of fused magnesium furnace The system implements two functions: working condition detection and remote visually reconstruction of the furnace flame For the problem of working condition SemiSupervised Condition Monitoring and Visualization of Fused Fused Magnesium Furnace (FMF) is a crucial industrial equipment in the production of magnesia, and anomaly detection plays a pivotal role in ensuring its efficient, stable, and secure operation Existing anomaly detection methods primarily focus on analyzing dominant anomalies using the process variables (such as arc current) or constructing neural networks based on abnormal CrossModal Learning for Anomaly Detection in Fused Magnesium
Nonlinear Control Tools for Fused Magnesium Furnaces: Design
2017年11月1日 This paper employs the recently developed nonlinear control tools to solve the engineering problem of stable current control of fused magnesium furnaces (FMFs) By fully taking into account the nonlinearity, uncertainty, and couplings in FMFs, this paper first develops a dynamic model for controller design A mild assumption for controller design is verified by 2024年6月13日 Fig 1 Crossmodal information is exploited to detect abnormal condition in fused magnesium smelting processes, as illustrated in (a) The picture at the bottom left shows an anomaly region on the furnace shell, whose visual feature is difficult to detect due to interference from heavy water mist A novel FMF Transformer (FmFormer) is proposed using synchronous CrossModal Learning for Anomaly Detection in Fused Magnesium Abstract: For the electrofused magnesium furnace (EFMF), accurate and effective process operating performance assessment (POPA) is essential to achieve satisfactory comprehensive economic benefits However, most existing assessment methods rely solely on a single type of data in smelting process of EFMF, ignoring the importance of multisource heterogeneous Operating Performance Assessment Based on Fusion Model of 2002年4月3日 In fused magnesia production, the main constraints on capacity are the size and number of electric arc furnaces, and the cost of energy The manufacture of fused magnesia is very power intensive with electricity consumption varying between 35004500 kWh/tonne; fused magnesia producers often quote total capacity based on utilising off peak powerMagnesia Forms, Applications and Production Processes
基于图像与电流特征的电熔镁炉欠烧工况半监督分类方法
Lu ShaoWen, Wen YiXin Semisupervised classification of semimolten working condition of fused magnesium furnace based on image and current features Acta Automatica Sinica, 2021, 47(4): 891−902 doi: 1016383/jaasc年7月10日 A transformer is usually employed to transfer energy between circuits of different voltages There are two or more windings in a transformer's magnetic core The transformer is a vital link in industrial and commercial Power Transformer Basics: The Magnetic CircuitDownload scientific diagram Network structure diagram of fused magnesium furnace working condition recognition based on adaptive Transformer from publication: Working condition recogition of Network structure diagram of fused magnesium 2004年10月1日 The effects of lime and fused magnesium phosphate (FMP) applications on nutrient uptake and yield of peanuts and rice, grown in an acid soil, were studied in an extended pot trialNutrient uptake and yield responses of peanuts and rice to lime
FIGURE 1 Fused magnesia production process example
Thirdly, based on Transformer, the multimodal working condition recognition network of fused magnesium furnace is constructed, and the global correlation between adjacent local features is A working condition recogition model of fused magnesium furnace based on stochastic configuration networks and reinforcement learning is proposed, and a selfoptimizing adjustment action strategy at the Transformer encoding layer is defined Automatic and accurate detection of abnormal working conditions of fused magnesia furnace is of great significance to the safe Working condition recogition of fused magnesium furnace based 2021年12月29日 A threeelectrode alternating current fused magnesia furnace (AFMF) with advanced control technology was evaluated by combined energy and exergy analysis To gain insight into the mass flow, energy flow and exergy efficiency of the present fused magnesia furnace, the exergy destruction was analysed to study the energy irreversibility of the furnace Performance Evaluation of a FullScale Fused Magnesia Furnace 2021年12月2日 ABSTRACT This study investigated the longterm (31 years) effects of mineral slag fertilizer (fused magnesium phosphate [FMgP] and calcium silicate [CaSi]) application on changes in the main soil chemical properties, including pH, electrical conductivity (EC), available phosphorus (P), soil organic carbon (SOC), and total nitrogen (TN) contents in paddy soilsFull article: Longterm application of fused magnesium
Videobased working condition recognition of fused magnesium
2024年4月17日 AbstractWorking condition recognition of a fused magnesium furnace (FMF) suffers from unbalanced underburning condition samples, (3DcycleGAN) and Video Swin TransformerStochastic Configuration Networks (Video SwinSCNs) Firstly, 2023年8月15日 Prediction of abnormal conditions for fused magnesium furnace based on improved LSTM model and rulebased reasoning Author links open overlay panel Dapeng Niu a intensity on the electrode during the FMSP, direct measurement is not possible To address this, we use a current transformer to convert the 015000A AC (alternating Prediction of abnormal conditions for fused magnesium furnace 2007年4月1日 Currently, fused magnesium phosphate [Show full abstract] magnesium limestone (GML) ha1; however, basalt had an additional advantage over GML as it contained K and P besides Ca and MgAlleviating an Acid Sulfate Soil Cultivated to Rice (Oryza sativa nition network of fused magnesium furnace is constructed to improve the global correlation between adjacent local features in the spatial dimension The fused features are sent to stochastic conguration networks to establish a classication criterion for working condition recognition of fused magnesium furnace with generalization abilityWorking condition recognition of fused magnesium furnace
CrossModal Learning for Anomaly Detection in Fused Magnesium
A novel crossmodal Transformer dubbed FmFormer, for both classlevel and pixellevel anomaly detection in fused magnesium smelting processes The FmFormer progressively encodes the internal features of each modality and the correlation feature across the modalities through a cascading structure of alternatively stacked selfattention and crossattention2017年7月1日 Successful application of this system has been made for a production line with ten fused magnesium furnaces in a factory in China, leading to a signific nt reduc d ECPT Keywords: Fused magnesium furnace, optimal operational control, cyberphysics system, embedded control systems 1A CPS Based Optimal Operational Control System for Fused Magnesium 2024年6月13日 This paper proposes a crossmodal Transformer (dubbed FmFormer), designed to facilitate anomaly detection by exploring the correlation between visual features (video) To validate the effectiveness of the proposed method, we also present a pioneering crossmodal benchmark of the fused magnesium smelting process, [240609016] CrossModal Learning for Anomaly Detection in A novel convolutional recurrent neural network (CRNN)based method for the abnormal condition diagnosis of FMF is proposed, composed of a preprocessing of the original video, a convolutional neural network (CNN)based spatial feature extraction and a recurrent neural network (RNN)based temporal feature extraction and a weighted medianbased automatic labeling algorithm [PDF] Abnormal Condition Diagnosis Through Deep Learning of
Videobased working condition recognition of fused magnesium
2024年4月17日 AbstractWorking condition recognition of a fused magnesium furnace (FMF) suffers from unbalanced underburning condition samples, (3DcycleGAN) and Video Swin TransformerStochastic Configuration Networks (Video SwinSCNs) Firstly, 2024年3月1日 As the world's largest producer of fused magnesia, China has a great demand for the unique threephase alternating current fused magnesium furnace (FMF) to smelt the magnesium ore that is characterized by low grade, composition fluctuation, complex mineral composition, etc Ore powder, which absorbs the heat generated by the electric arc, is heated Videobased working condition recognition of fused magnesium 2021年5月15日 The Canadian Journal of Chemical Engineering publishes influential research about the science, theory, and industrial practices of chemical and biochemical processesSelf‐optimization for smelting process of fused magnesium world fused magnesium furnaces optimization problem I INTRODUCTION In many realworld complex optimization problems, it is Electrode current 1 Main Transformer 2 Singlefurnace Transformer 3 AC Current Transformer 4 Short Net 5 Motor 6 Console 7 Automatic Feeder 8 Electrode Holder 9 Electrode 10 Furnace Shell 11 Arc 12 Weld Pool 13 Car 1 ASmall Data Driven Evolutionary Multiobjective Optimization of Fused
Process operation performance assessment of electro‐fused magnesium
2023年7月7日 The process operation performance assessment (POPA) of the smelting process of electrofused magnesium furnaces (EFMFs) plays a very important role for improving production quality and pursuing the highest economic benefit Most of the existing methods are based on the assumption of abundant labelled training samples