CnOpenData政府信用评级

时间区间

1962-2023


字段展示

政府信用评级-英文字段政府信用评级--中文字段指标说明
Country/Area国家/地区
Code代码
Year年份
Month月份
Agency评级机构"Definition:S&Pincludeslong-termratingsfromthehighestAAAtothelowestDrating.Moody’sincludeslong-termratingsfromthehighestAaatothelowestC.Fitchincludeslong-termratingsfromthehighestAAAtothelowestDrating.Scopeincludeslong-termforeign-currencyratingsfromthehighestAAAtothelowestDrating.Forallfourinternationalcreditratingagencies,ratingsaredividedintotwomaingroupsbasedonthelevelofcreditrisk:investmentgradeforlowerlevelsofcreditriskandspeculativegradeforhigherlevelsofcreditrisk.ForS&P,FitchandScope,investmentgradeissues/issuersarethoseratedfromBBB-andabove,whilethosefromBB+andbelowarecategorizedasspeculativegrade.Moody’sdenotesasinvestmentgradeissues/issuersasthoseratedfromBaa3andabove,whileratingsfromBa1andbelowfallintothecategoryofspeculativegrade.Allfouragenciesincludemodifiersintotheirgenericalphabet-basedratingsforparticularranges.RatingsfromS&P,FitchandScopearemodifiedwith“+”or“-”fromtherangeAAtoCCC.Moody’sappendsnumericalmodifiersfrom1to3tothegenericratingclassificationsfromAatoCaa.1indicatesstandinginthehigherendofthegenericcategory,while3indicatesrankinginthelowerend.Allmodifiersdenoterelativestatuswithinmajorratingscategories.RatingOutlooksindicatethedirectiontheratingislikelytomoveoveraone-totwo-yearperiod.Indetermininganoutlook,considerationisgiventoanychangesinfundamentalbusinessconditions.CreditWatchfocusesonidentifiableeventsthatcauseratingstobeplacedunderspecialsurveillance.RatingOutlooks/Watchesforthefouragenciesarethefollowing:-Positivemeansthataratingmayberaised-Negativemeansthataratingmaybelowered-Stablemeansaratingisnotlikelytochange-Whenthefundamentaltrendhasstrong,conflictingelementsofbothpositiveandnegative,theOutlook/WatchcanbedenotedasDeveloping(forScope,aStableOutlookwouldbeassignedinthiscase).CreditWatchesdonotincludeaStableWatchbecausetheyareonlyeventdrivenanddenotehigherprobabilityofchangeintherating.CreditOutlooksandWatchesaremutuallyexclusive."
Rating评分
Outlook展望

样本数据

Country/AreaCodeYearMonthAgencyRatingOutlook
国家/地区代码年份月份评级机构评分展望
ArgentinaARG19927Moody'sB1
ArgentinaARG19938S&PBB-Stable
ArgentinaARG19942S&PBB-Positive
ArgentinaARG19948S&PBB-Positive
ArgentinaARG19949S&PBB-Positive
ArgentinaARG19953S&PBB-Stable
ArgentinaARG19959Moody'sB1
ArgentinaARG19974S&PBBStable
ArgentinaARG19975FitchBB
ArgentinaARG199710Moody'sBa3
ArgentinaARG199712FitchBB
ArgentinaARG19992Moody'sBa3Negative
ArgentinaARG19997S&PBBNegative
ArgentinaARG199910Moody'sB1
ArgentinaARG20002S&PBBStable
ArgentinaARG20009S&PBBNegative watch
ArgentinaARG20009FitchBBNegative
ArgentinaARG200011S&PBB-Stable
ArgentinaARG20013S&PB+Negative watch
ArgentinaARG20013S&PBB-Negative watch
ArgentinaARG20013Moody'sB2
ArgentinaARG20013FitchB+Negative
ArgentinaARG20015S&PBNegative watch
ArgentinaARG20016S&PBNegative
ArgentinaARG20017S&PB-Negative
ArgentinaARG20017Moody'sCaa1
ArgentinaARG20017FitchB-Negative
ArgentinaARG200110S&PCCNegative
ArgentinaARG200110S&PCCC+Negative
ArgentinaARG200110Moody'sCaa3
ArgentinaARG200110FitchCCC-Negative
ArgentinaARG200111S&PSD
ArgentinaARG200111FitchCNegative
ArgentinaARG200112Moody'sCa
ArgentinaARG200112FitchDDD
ArgentinaARG20021FitchDDD
ArgentinaARG20022S&PSD
ArgentinaARG20038Moody'sCaa1
ArgentinaARG200311Moody'sCaa1Stable
ArgentinaARG20044FitchDDD
ArgentinaARG20046FitchDDD
ArgentinaARG20051FitchD
ArgentinaARG20056S&PB-Stable
ArgentinaARG20056Moody'sB3
ArgentinaARG20056FitchDDD
ArgentinaARG200511S&PB-Stable
ArgentinaARG200511S&PB-Stable
ArgentinaARG200512FitchRD
ArgentinaARG20063S&PBStable

数据更新频率

年度更新

基于matlab建模FOC观测器采用龙贝格观测器+PLL进行无传感器控制(Simulink仿真实现)内容概要:本文档主要介绍基于Matlab/Simulink平台实现的多种科研仿真项目,涵盖电机控制、无人机路径规划、电力系统优化、信号处理、图像处理、故障诊断等多个领域。重点内容之一是“基于Matlab建模FOC观测器,采用龙贝格观测器+PLL进行无传感器控制”的Simulink仿真实现,该方法通过状态观测器估算电机转子位置与速度,结合锁相环(PLL)实现精确控制,适用于永磁同步电机等无位置传感器驱动场景。文档还列举了大量相关科研案例与算法实现,如卡尔曼滤波、粒子群优化、深度学习、多智能体协同等,展示了Matlab在工程仿真与算法验证中的广泛应用。; 适合人群:具备一定Matlab编程基础,从事自动化、电气工程、控制科学、机器人、电力电子等相关领域的研究生、科研人员及工程技术人员。; 使用场景及目标:①学习并掌握FOC矢量控制中无传感器控制的核心原理与实现方法;②理解龙贝格观测器与PLL在状态估计中的作用与仿真建模技巧;③借鉴文中丰富的Matlab/Simulink案例,开展科研复现、算法优化或课程设计;④应用于电机驱动系统、无人机控制、智能电网等实际工程仿真项目。; 阅读建议:建议结合Simulink模型与代码进行实践操作,重点关注观测器设计、参数整定与仿真验证流程。对于复杂算法部分,可先从基础案例入手,逐步深入原理分析与模型改进。
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