基于FFT和全连接层特征提取的轴承故障诊断

传统的轴承故障诊断方法非常依赖于研究者的特征提取经验和分类器的参数选择。卷积神经网络存在训练时间长和诊断精度低的问题无法满足高精度设备管理要求。为了提高诊断精度并降低训练时间,本文提出一种有效的轴承故障检测方法。该方法基于FFT和全连接层提取的故障特征能够有效帮助SVM分类器进行分类。凯斯西储大学的开源轴承数据被应用于检测该方法的有效性。该方法可以准确对不同轴承工作状态进行分类,并具有一定程度的鲁棒性。当全部测试集被加入噪音后,依然能够得到99%以上的诊断准确率。实验结果表明与传统方法相比,该方法不但能够提高分类准确精度以达到高精度设备的要求,并且能够大幅降低模型训练时间。

Outlier screening for ironmaking data on blast furnaces

Blast furnace data processing is prone to problems such as outliers.To overcome these problems and identify an improved method for processing blast furnace data,we conducted an in-depth study of blast furnace data.Based on data samples from selected iron and steel companies,data types were classified according to different characteristics;then,appropriate methods were selected to process them in order to solve the deficiencies and outliers of the original blast furnace data.Linear interpolation was used to fill in the divided continuation data,the Knearest neighbor(KNN)algorithm was used to fill in correlation data with the internal law,and periodic statistical data were filled by the average.The error rate in the filling was low,and the fitting degree was over 85%.For the screening of outliers,corresponding indicator parameters were added according to the continuity,relevance,and periodicity of different data.Also,a variety of algorithms were used for processing.Through the analysis of screening results,a large amount of efficient information in the data was retained,and ineffective outliers were eliminated.Standardized processing of blast furnace big data as the basis of applied research on blast furnace big data can serve as an important means to improve data quality and retain data value.

Historical Medical Exchanges Following the Confluence of Traditional Chinese Medicine and Western Medicine:Coexistence and Mutual Development

This article examines the overall characteristics of historical medical exchanges between China and foreign countries,analyzing their contribution to the development of medicines in the world.It presents a summary of historical experiences of the development of medicines through mutual exchanges.It also provides an objective analysis of the effects of the eastward dissemination of Western medicine on traditional Chinese medicine.The history of their exchanges can be used as a mirror for each to learn from the other’s strengths to offset their own weakness,and achieve the coordinated and balanced development of both traditional Chinese medicine and Western medicine.Such balanced development would enable the world’s medicinal systems to thrive and protect the health of people worldwide.

An investigation of collisions between fiber positioning units in LAMOST

The arrangement of fiber positioning units in the LAMOST focal plane may lead to collisions during the fiber allocation process, To avoid these collisions, a software-based protection system has to abandon some targets located in the overlapping field of adjacent fiber units. In this paper, we first analyze the probability of collisions between fibers and infer their possible reasons. It is useful to solve the problem of collisions among fiber positioning units so as to improve the efficiency of LAMOST. Based on this, a collision handling system is designed by using a master-slave control structure between the micro control unit and microcomputer. Simulated experiments validate that the system can provide real-time inspection and swap information between the fiber unit controllers and the main controller.

Prediction for permeability index of blast furnace based on VMD-PSO-BP model

The permeability index is one of the important production indicators to monitor the operation of blast furnace.It is crucial to grasp the trends of changes in the new permeability index in time.For the complex vibration spectrum of the permeability index,a prediction model of the permeability index based on the VMD-PSO-BP(variational mode decomposition-particle swarm optimization-back propagation)method was proposed.Firstly,the key factors that affect the permeability index of blast furnace were studied from multiple perspectives.Then,the permeability index was divided into multiple sub-modes based on the difference of frequency bands by the VMD algorithm,and a PSO-BP prediction model was established for each sub-mode.Finally,the prediction results of each sub-mode were summed to obtain the final one.The results show that the composite prediction accuracy by using the VMD algorithm is 3%higher than that of the traditional prediction method,which has better applicability.

Hot metal quality monitoring system based on big data and machine learning

The system of hot metal quality monitoring was established based on big data and machine learning using the real-time production data of a steel enterprise in China.A working method that combines big data technology with process theory was proposed for the characteristics of blast furnace production data.After the data have been comprehensively processed,the independent variables that affect the target parameters are selected by using the method of multivariate feature selection.The use of this method not only ensures the interpretability of the input variables,but also improves the accuracy of the machine learning process and is more easily accepted by enterprises.For timely guidance on production,specific evaluation rules are established for the key quality that affects the quality of hot metal on the basis of completed predictions work and uses computer technology to build a quality monitoring system for hot metal.The online results show that the hot metal quality monitoring system established by relying on big data and machine learning operates stably on site,and has good guiding significance for production.

[Gly14]-Humanin Protects Against Amyloid b Peptide-Induced Impairment of Spatial Learning and Memory in Rats

Alzheimer disease （AD）, a progressive neurodegenerative disorder, is characterized by cognitive decline and the accumulation of senile plaques in the brain. Amyloid β protein （Aβ） in the plaques is thought to be responsible for the memory loss in AD patients. [Glyl4]- humanin （HNG）, a derivative of humanin （HN）, has much stronger neuroprotective effects than natural HN in vitro. However, clarification of the Aβ active center and the neuroprotective mechanism of HN still need in vivo evidence. The present study first compared the in vivo bio- logical effects of three Aβ fragments （1-42, 31-35, and 35-31） on spatial memory in rats, and investigated the neuroprotective effects and molecular mechanisms of HNG. The results showed that intrahippocampal injection of Aβ1-2 and Aβ1-35 almost equally impaired spatial learning and memory, but the reversed sequence Aβ1-31 did not have any effect; a high dose of Aβ1-35 （20 nmol） produced a more detrimental response than a low dose （2 nmol）; Aβ1-35 injection also disrupted gene and protein expression in the hippocampus, with up-regulation of caspase3 and down-regulation of STAT3; pretreatment with HNG not only protected spatial memory but also rescued STAT3 from Aβ-induced disruption; and the neuropro- tective effects of HNG were effectively counteracted by genistein, a specific tyrosine kinase inhibitor. These results clearly show that sequence 31-35 in AI5 is the shortest active center responsible for the neurotoxicity of A[3 from molecule to behavior; and HNG protects spatial learning and memory in rats against Aβ-indnced insults; and prob- ably involves the activation of tyrosine kinases and sub- sequent beneficial modulation of STAT3 and caspase3.

Phosphorus Capacity of CaO-SiO_2-Al_2O_3-MgO-Fe_xO Slag

CaO-SiO2-Al2O3-MgO-Fex O slag occurs in the production process of Corex ironmaking technology. Most of its metallurgical properties, especially the phosphorus property, are different from the slag produced from blast furnace or converter. In order to explore the dephosphorization ability of CaO-SiO2-Al2O3-MgO-Fex O slag, its phosphorus capacity was measured at 1673 K by gas-slag-metal equilibrium technique. An iron crucible was used as the reaction vessel, Ag alloy with 0.2 % P was used as the metal phase which equilibrated with CaO-SiO2-Al2O3-MgO-Fex O slag, and a constant flow of CO-CO2-N2 gas was used to provide oxygen partial pressure in the experi- ment. The effects of MgO, Fex O and basicity on slag phosphorus capacity were investigated by single factor test. The results show that the phosphorus capacity rises firstly and then decreases with increasing MgO content under the condition of basicity 1.3, Fe2 O content of 20% and A12 03 content of 12%. The phosphorus value reaches maximum as the MgO content is 8%. When the basicity of slag is 1.1, MgO content is 10%, and Al2O3 is 12%, the phos- phorus capacity increases with the increase of Fe, O content. The phosphorus capacity rises linearly when the basicity is increased from 1.1 to 1. 5.

Formation of Hearth Sediment during Vanadium Titano-magnetite Smelting in Blast Furnace No.7 of Chengde Iron and Steel Company

The large quantity of sediment produced in the hearth during vanadium titano-magnetite smelting in a blast furnace（BF） affects the stability of the blast furnace operation. Testing and analysis of the sediment in the hearth of Chengde Iron and Steel Company？s BF No.7 revealed that it was mainly concentrated in the location below the tuyere and above the iron notch. Notably, some of the bonding material（sediment） consisted of greater than 50% pig iron, and the pig iron distributed in the slag was granular. It is proposed that a large quantity of Ti C and Ti（C,N） are deposited on the surface of the pig iron. These high melting point materials mix with iron drops, preventing the slag from flowing freely, thus leading to the formation of bonding materials. In addition, the viscosity and melting temperature of the slag in the tuyere areas fluctuate greatly, and thus the properties of the slag are unstable. Moreover, the slag contains large quantities of carbon, which results in the reduction of Ti O2. The resultant precipitation of Ti is followed by the formation of Ti C in the slag, which also leads to an increase in the viscosity of the slag and difficulty in achieving separation of the slag-iron. In fact, all of these factors interact with each other, and as a result, sediment is formed when the operating conditions in the hearth fluctuate.