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Major and Trace Elements of Magnetite from the Qimantag Metallogenic Belt: Insights into Evolution of Ore–forming Fluids

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Acta Geologica Sinica(English Edition) 2015年第4期89卷 1226-1243页

作者： YI Liwen GU Xiangping LU Anhuai LIU Jianping LEI Hao WANG Zhiling CUI Yu zuo hongyan SHEN Can Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitor Ministry of Education School of Geosciences and Info–Physics Central South University

Magnetite, as a genetic indicator of ores, has been studied in various deposits in the world. In this paper, we present textural and compositional data of magnetite from the Qimantag metallogenic belt of the Kunlun Orogenic Belt in China, to provide a better understanding of the formation mechanism and genesis of the metallogenic belt and to shed light on analytical protocols for the in situ chemical analysis of magnetite. Magnetite samples from various occurrences, including the ore-related granitoid pluton, mineralised endoskarn and vein-type iron ores hosted in marine carbonate intruded by the pluton, were examined using scanning electron microscopy and analysed for major and trace elements using electron microprobe and laser ablation-inductively coupled plasma-mass spectrometry. The field and microscope observation reveals that early-stage magnetite from the Hutouya and Kendekeke deposits occurs as massive or banded assemblages, whereas late- stage magnetite is disseminated or scattered in the ores. Early-stage magnetite contains high contents of Ti, V, Ga, AI and low in Mg and Mn. In contrast, late-stage magnetite is high in Mg, Mn and low in Ti, V, Ga, AI. Most magnetite grains from the Qimantag metallogenic belt deposits except the Kendekeke deposit plot in the ＂ Skarn ＂ field in the Ca＋AI＋Mn vs Ti＋V diagram, far from typical magmatic Fe deposits such as the Damiao and Panzhihua deposits. According to the （MgO＋MnO）- TiO^-AI203 diagram, magnetite grains from the Kaerqueka and Galingge deposits and the No.7 ore body of the Hutouya deposit show typical characteristics of skarn magnetite, whereas magnetite grains from the Kendekeke deposit and the No.2 ore body of the Hutouya deposit show continuous elemental variation from magmatic type to skarn type. This compositional contrast indicates that chemical composition of magnetite is largely controlled by the compositions of magmatic fluids and host rocks of the ores that have reacted with the fluids. Moreover, a co

关键词： Magnetite trace element LA-ICP-MS ore genesis Qimantag metallogenic belt

Price Orientation and Parameters for Family Cars

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中国汽车（英文版） 1998年第4期 18-22页

作者： zuo Cheng, Wang hongyan

1. Demand for Family Cars To develop a kind of car acceptable for ordi-nary families use in China has been a major task of China auto industry. The car must be eco-nomic catering for the national conditions and the wi... 详细信息

关键词：切眼

Atacamite and Nantokite in Kaerqueka Copper Deposit of Qimantag Area:Evidence for Cenozoic Climate Evolution of the Qaidam Basin

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Journal of Earth Science 2017年第3期28卷 492-499页

作者： Liwen Yi Xiangping Gu Anhuai Lu Xiangyu Li Dexian Zhang Zhiling Wang Jianping Liu Shuai Li Zhengxiang Shu Cui Yu hongyan zuo Can Shen College of Resources and Environmental Sciences Hunan Normal UniversityChangsha 410081China Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitor Ministry of EducationChangsha 410083China School of Geosciences and Info-Physics Central South UniversityChangsha 410083China Hunan Institute of Geological Survey Changsha 410116China

Using a mineralogy method to reflect climate evolution is a new approach to research Cenozoic environmental progression of the Qaidam Basin. In this paper, we present the chemical composition and crystallographic parameter of atacamite, nantokite, and tenorite in cryptocrystalline aggregates from the Kaerqueka copper deposit of Qimantag metallogenic belt by means of electron microprobe and in-situ X-ray diffraction analyses. Atacamite and nantokite occur in an intimate intergrowth as the secondary precipitation of chalcopyrite and bornite filling in the interstitial space of andradite in the Kaerqueka copper deposit, with an average composition of Cl： 12.38 wt.%, Cu： 63.76 wt.%, O： 21.46 wt.%. X-ray microdiffraction shows that the intergrowth contains nantokite with a cubic unit cell a=5.403（2）？ and atacamite with an orthorhombic unit cell a=6.030（3）, b=6.883（2）, c=9.114（1）？. XRD quantitative calculation shows that the nanometric aggregate contains 36.07 wt.% tenorite, 18.41 wt.% atacamite, and 45.52 wt.% nantokite. The presence of nantokite and atacamite requires saline solutions for their formation and hyper-arid climate conditions for their preservation. Combined with the data of salt lakes and the pollen sequence of western China, we suggest that during the uplift of the Tibetan Plateau and the retreat of the Paratethys, saline water was forced to the surface through a basal fracture zone. In the hyper-arid climate of the Qaidam Basin, the recharge of groundwater by direct precipitation is negligible, and groundwater is derived from inflow from the salt lakes. Thus, atacamite is preserved. In addition, spertiniite in the edge and fractures of atacamite and nantokite may represent wetter climate after the formation of atacamite and nantokite.

关键词： atacamite nantokite climate evolution Qaidam Basin

一种改进的FLS-SVM分类辨识模型及其应用

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中南大学学报（自然科学版） 2017年第8期48卷 2097-2104页

作者：左红艳王涛生中南大学资源与安全工程学院湖南长沙410083 湖南涉外经济学院商学院湖南长沙410205

采用三角形函数隶属度法确定模糊最小二乘支持向量机(fuzzy least squares support vector machine,FLS-SVM)输入参数隶属度,采用自适应变尺度混沌免疫算法优化FLS-SVM的参数,从而构建改进模糊最小二乘支持向量机(improved fuzzy least ... 详细信息

采用三角形函数隶属度法确定模糊最小二乘支持向量机(fuzzy least squares support vector machine,FLS-SVM)输入参数隶属度,采用自适应变尺度混沌免疫算法优化FLS-SVM的参数,从而构建改进模糊最小二乘支持向量机(improved fuzzy least squares support vector machines,IFLS-SVM)分类辨识模型,用Ripley数据集、MONK数据集和PIMA数据集进行仿真实验,并用于地下金属矿山采场信号分类辨识与中国国际贸易安全分类辨识。研究结果表明:与LS-SVM分类辨识模型和FLS-SVM分类辨识模型相比,IFLS-SVM分类辨识模型能有效提高带噪声点和异常点数据集的分类精度,且分类辨识精度相对误差较小。

关键词：混沌免疫算法模糊最小二乘支持向量机分类辨识

Combined soft measurement on key indicator parameters of new competitive advantages for China’s export

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Financial Innovation 2021年第1期7卷 1100-1123页

作者： Taosheng Wang hongyan zuo C.H.Wu B.Hu Business School Hunan International Economics UniversityChangsha 410205China School of Mechanical Engineering Hunan Institute of EngineeringXiangtan 411104China Department of Supply Chain and Information Management(SCM) The Hang Seng University of Hong KongShatinHong Kong SARChina School of Preparatory Education Changsha Normal UniversityChangsha 410100China

The estimation of the difference between the new competitive advantages of China’s export and the world’s trading powers have been the key measurement problems in China-related *** this work,a comprehensive evaluation index system for new export competitive advantages is developed,a soft-sensing model for China’s new export competitive advantages based on the fuzzy entropy weight analytic hierarchy process is established,and the soft-sensing values of key indexes are *** obtained evaluation values of the main measurement index are used as the input variable of the fuzzy least squares support vector machine,and a soft-sensing model of the key index parameters of the new export competitive advantages of China based on the combined soft-sensing model of the fuzzy least squares support vector machine is *** soft-sensing results of the new export competitive advantage index of China show that the soft measurement model developed herein is of high precision compared with other models,and the technical and brand competitiveness indicators of export products have more significant contributions to the new competitive advantages of China’s export,while the service competitiveness indicator of export products has the least contribution to new competitive advantages of China’s export.

关键词： China’s export New competitive advantages Export competitive advantage Core competitiveness Fuzzy least squares support vector machine Soft measurement

FDM和RCMDE结合的特征提取与故障诊断

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振动．测试与诊断 2021年第3期41卷 539-546,624页

作者：左红艳刘晓波洪连环南昌航空大学航空制造工程学院南昌330063 南京航空航天大学机电学院南京210016

为提取有效特征向量以实现航空发动动机转子的故障诊断,针对航空发动机转子振动信号的非线性、非平稳的特性,首先,应用傅里叶分解方法(Fourier decomposition method,简称FDM)提取航空发动机转子信号的边际谱重心及最大能量层的谱重心;... 详细信息

为提取有效特征向量以实现航空发动动机转子的故障诊断,针对航空发动机转子振动信号的非线性、非平稳的特性,首先,应用傅里叶分解方法(Fourier decomposition method,简称FDM)提取航空发动机转子信号的边际谱重心及最大能量层的谱重心;其次,计算振动信号的精细复合多尺度散布熵;最后,应用双阶自适应小波聚类方法对特征空间实现故障分类与识别。应用航空发动机转子试验器采集的样本验证表明,上述方法提取的特征值准确且波动小,同种故障类型的特征值集中,不同故障类型之间差异大,有利于提高多种故障类型混合的诊断精度。

关键词：傅里叶分解精细复合多尺度散布熵双阶自适应小波聚类故障诊断

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基于双阶自适应小波聚类的复合故障诊断

计算机集成制造系统 2017年第10期23卷 2180-2191页

作者：左红艳刘晓波洪连环南京航空航天大学机电学院江苏南京210016 南昌航空大学航空制造工程学院江西南昌330063

有效特征向量的提取与故障诊断方法是实现航空发动机转子故障快速正确诊断的关键。首先根据航空发动机转子振动信号的非平稳及非线性的特点,应用小波变换和Hilbert-Huang变换方法提取振动信号的有效值、边际谱重心和小波变换最大能量层... 详细信息

有效特征向量的提取与故障诊断方法是实现航空发动机转子故障快速正确诊断的关键。首先根据航空发动机转子振动信号的非平稳及非线性的特点,应用小波变换和Hilbert-Huang变换方法提取振动信号的有效值、边际谱重心和小波变换最大能量层的功率谱重心三个特征向量,然后应用双阶自适应小波聚类方法对航空发动机转子进行多类型混合故障诊断。结果表明双阶自适应小波聚类方法能快速准确地实现故障分类与识别,尤其对于密度分布不均匀的多类型混合数据,诊断精度显著高于传统的小波聚类方法。

关键词：故障诊断小波聚类特征提取双阶自适应

机电类出口产品质量指数非线性自校正模型及其应用

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中南大学学报（自然科学版） 2013年第1期44卷 129-134页

作者：王涛生左红艳陈健美湖南省跨国投资与经营研究基地湖南长沙410205 中南大学资源与安全工程学院湖南长沙410083 湖南省工程车辆底盘制造工程技术研究中心湖南长沙410205

为提高机电类出口产品质量测度的精度,对已有的质量估算方法进行修正,构建衡量机电类出口产品质量测度估计模型,并采用函数链神经网络对其非线性自校正。研究结果表明:各行业机电类出口产品质量指数大多在0以上,且分布较均衡,质量指数... 详细信息

为提高机电类出口产品质量测度的精度,对已有的质量估算方法进行修正,构建衡量机电类出口产品质量测度估计模型,并采用函数链神经网络对其非线性自校正。研究结果表明:各行业机电类出口产品质量指数大多在0以上,且分布较均衡,质量指数在高位、中位和低位上运行的行业各3种;各行业出口产品的平均质量指数总体上呈持续下降趋势,但其中4个行业出口产品的质量指数呈上升趋势,其他行业呈下降趋势;具有非线性自校正功能的机电类出口产品质量测度模型更能反映产品质量演进路径呈时间非线性变化实际趋势,可在较大程度上提高机电类出口产品质量测度精度。

关键词：出口产品质量指数测度模型非线性校正模型

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高校科技成果推广管理系统的混沌行为

管理学报 2009年第6期6卷 755-758,833页

作者：左红艳鄂加强湖南大学机械与汽车工程学院

综合考虑科技成果初始价值、推广率、已推广的申请专利后的成果推广率、科技成果效益的保有率等影响因素,建立了高校科技成果推广管理模型。模型的应用分析表明,随上述各因素分别取相应的值时,高校科技成果推广管理模型呈现稳定的不动... 详细信息

综合考虑科技成果初始价值、推广率、已推广的申请专利后的成果推广率、科技成果效益的保有率等影响因素,建立了高校科技成果推广管理模型。模型的应用分析表明,随上述各因素分别取相应的值时,高校科技成果推广管理模型呈现稳定的不动点、极限环、拟周期吸引子和混沌吸引子所对应的4种类型状态空间。当未推广的高校科技成果价值为不动点时,可实现高校科技成果推广率为100%;当将科技成果推广域变量调整到稳定的均衡状态附近时,可避免高校科技成果推广管理系统出现的混沌状态所带来的负面影响。

关键词：科技成果推广管理混沌高校