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    • 71. 发明授权
    • Systems and methods for prediction of trips
    • 用于预测行程的系统和方法
    • US09122991B2
    • 2015-09-01
    • US13600387
    • 2012-08-31
    • Ravi Yoganatha BabuVinay Bhaskar JammuAchalesh Kumar Pandey
    • Ravi Yoganatha BabuVinay Bhaskar JammuAchalesh Kumar Pandey
    • G06N5/04F01D21/00G05B23/02F02C9/00
    • G06N5/04F01D21/00F02C9/00F05D2260/80F05D2270/44G05B23/0283
    • A system is disclosed. The system includes a processing subsystem that receives component data signals corresponding to a plurality of parameters of a device, wherein the processing subsystem generates one or more sets of state category component data by allocating the component data signals into respective one or more sets of state category component data, determines a plurality of first dynamic thresholds and a plurality of second dynamic thresholds corresponding to at least one of the one or more sets of state category component data based upon a respective set of state category component data in the one or more sets of state category component data and a respective parameter in the plurality of parameters, and determines an impending trip of the device utilizing the plurality of first dynamic thresholds and the plurality of second dynamic thresholds.
    • 公开了一种系统。 该系统包括处理子系统,其接收对应于设备的多个参数的分量数据信号,其中处理子系统通过将分量数据信号分配到相应的一组或多组状态类别中来生成一组或多组状态类别分量数据 组件数据,基于一组或多组状态类别组件数据中的相应集合,确定与所述一组或多组状态类别分量数据中的至少一个对应的多个第一动态阈值和多个第二动态阈值 状态类别分量数据和多个参数中的相应参数,并且使用多个第一动态阈值和多个第二动态阈值来确定设备的即将跳闸。
    • 72. 发明申请
    • COMPRESSOR BLADE MONITORING SYSTEM
    • 压缩机叶片监控系统
    • US20150081229A1
    • 2015-03-19
    • US14027688
    • 2013-09-16
    • General Electric Company
    • Lijie YuAdil AnsariVivek Venugopal BadamiJohn Thomas BlissRahul ChadhaRajan Gupta
    • F04D27/00
    • F04D27/001F01D21/00F01D21/003F01D21/04F01D21/10F01D21/14F02C9/00F03D17/00F04D29/324F05D2260/80F05D2260/81G01B7/14G01B11/14G01B21/16G01D21/00G06F17/40G06F19/00
    • A system including: at least one computing device configured to monitor a compressor blade in a turbomachine by: extracting time of arrival (TOA) data about the compressor blade at a defined interval; correlating turbomachine operating conditions with the TOA data; extracting resonance data about the compressor blade during startup or shutdown of the turbomachine, and extracting static deflection and tip clearance data about the compressor blade during steady state operation of the turbomachine; creating a baseline compressor blade comparison level based upon the extracted resonance data, extracted static deflection and tip clearance data, and correlation between the turbomachine operating conditions and the TOA data; and iteratively extracting updated TOA data and performing the correlating, the extracting of the resonance data, static deflection and tip clearance data using the updated TOA data at the defined interval to create an updated baseline compressor blade comparison level.
    • 一种系统,包括:至少一个计算装置,被配置为通过以下定义的间隔提取关于压缩机叶片的到达时间(TOA)数据来监测涡轮机中的压缩机叶片; 将涡轮机操作条件与TOA数据相关联; 在涡轮机的启动或关闭期间提取关于压缩机叶片的共振数据,以及在涡轮机的稳态操作期间提取关于压缩机叶片的静态偏转和顶端间隙数据; 基于提取的共振数据,提取的静态偏转和叶尖间隙数据以及涡轮机操作条件和TOA数据之间的相关性来创建基准压缩机叶片比较水平; 并且迭代地提取更新的TOA数据并且以所定义的间隔执行关联,提取共振数据,静态偏转和提前间隙数据,以创建更新的基准压缩机叶片比较水平。
    • 74. 发明申请
    • POWER GENERATION SYSTEM AND METHOD OF STOPPING POWER GENERATION SYSTEM
    • 发电系统及停电发电系统的方法
    • US20140190173A1
    • 2014-07-10
    • US14140385
    • 2013-12-24
    • MITSUBISHI HEAVY INDUSTRIES, LTD.
    • Hiroyuki OZAWA
    • F02C3/04
    • F01D21/00F02C3/14F02C9/00H01M2250/20H01M2250/402Y02B90/12Y02E20/16Y02T90/32
    • A gas turbine including a compressor and a combustor, an SOFC including an air electrode (cathode) and a fuel electrode (anode), a first compressed air supply line adapted to supply a compressed air compressed by the compressor to the combustor, a second compressed air gas supply line adapted to supply a part of a compressed air compressed by the compressor to the air electrode (cathode), a first fuel gas supply line adapted to supply a fuel gas to the combustor, a second fuel gas supply line adapted to supply a fuel gas to the fuel electrode (anode), a fuel gas recirculation line adapted to return an exhausted fuel gas discharged from the fuel electrode (anode) to the fuel electrode (anode), a cooler provided in the fuel gas recirculation line are provided.
    • 一种包括压缩机和燃烧器的燃气轮机,包括空气电极(阴极)和燃料电极(阳极)的SOFC,适于将由压缩机压缩的压缩空气供应到燃烧器的第一压缩空气供应管线,第二压缩 气体供应管线,其适于将由压缩机压缩的压缩空气的一部分供应到空气电极(阴极),适于向燃烧器供应燃料气体的第一燃料气体供应管线,适于供应燃料气体的第二燃料气体供应管线 燃料电极(阳极)的燃料气体,适于将从燃料电极(阳极)排出的排出的燃料气体返回到燃料电极(阳极)的燃料气体再循环管线,设置在燃料气体再循环管路中的冷却器 。
    • 75. 发明申请
    • AUTOMATED ROOT CAUSE ANALYSIS
    • 自动原因分析
    • US20140163926A1
    • 2014-06-12
    • US14233744
    • 2011-12-09
    • Henrik Pedersen
    • Henrik Pedersen
    • G05B23/02
    • G05B23/02F01D17/02F01D21/00F01D21/003F02C9/00G05B23/0278G06Q10/0631G07C3/00
    • A method for performing computerized automated root cause analysis for a complex product, such as a turbine, and computer-readable medium encoded with programming instructions for performing such a root cause analysis are provided. The method may include: monitoring the product; detecting a product misbehavior; forming a misbehavior pattern with timeslots of normal operation and timeslots of misbehavior operation; comparing timeslots of the misbehavior pattern to corresponding timeslots of channels of information in at least one database relating to the product; measuring how close the misbehavior pattern numerically fits to the information; and automatically identifying a best numerical fit.
    • 提供了一种用于对复杂产品(例如涡轮机)执行计算机化的自动根本原因分析的方法以及用编程指令编码的用于执行这种根本原因分析的计算机可读介质。 该方法可以包括:监控产品; 检测产品的不当行为; 形成了正常运作时间和不当行为时间的不正当行为模式; 将不正当行为模式的时间间隔与至少一个与产品相关的数据库中的信息通道的相应时隙进行比较; 衡量不正当行为模式在数字上与信息的接近程度; 并自动识别最佳数值拟合。