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1. 发明公开

EP3293384A1 SYSTEM AND METHOD FOR CONDITION-BASED MONITORING OF A COMPRESSOR 有权转让
标题翻译：用于压缩机的基于状态的监视的系统和方法
公开(公告)号：EP3293384A1
公开(公告)日：2018-03-14
申请号：EP17189785.3
申请日：2017-09-07
申请人： General Electric Company
发明人： ZHANG, Hua , KIPPEL, Bradly , TRAYHAN, David , HU, Iris
IPC分类号： F02C7/055 , F01D25/00
摘要： In one embodiment, a turbine system 10 includes a compressor 18, an intake section 16 including a filter house and an inlet duct. The intake section is coupled to the compressor, and the filter house is upstream from the inlet duct. The turbine system also includes one or more sensors 22 disposed in the intake section, and a processor 36 configured to receive sensor data from the one or more sensors, one or more filter degradation rates for one or more filtration stages of the filter house, or some combination thereof, predict a compressor degradation rate for the compressor using a compressor degradation prediction model that provides a function of performance of the compressor based on the sensor data, the one or more filter degradation rates, or some combination thereof, and perform one or more preventative actions based on the compressor degradation rate prediction.
摘要翻译：在一个实施例中，涡轮机系统10包括压缩机18，包括过滤器壳体和入口管道的入口部分16。进气段与压缩机连接，过滤室在进气管的上游。涡轮机系统还包括设置在进气部分中的一个或多个传感器22以及配置成接收来自一个或多个传感器的传感器数据，用于过滤器室的一个或多个过滤级的一个或多个过滤器劣化率的处理器36，或者它们的某一组合，使用压缩机劣化预测模型预测压缩机的压缩机劣化速率，该压缩机劣化预测模型基于传感器数据，一个或多个过滤器劣化速率或其一些组合来提供压缩机性能的功能，并且执行一个或多个基于压缩机劣化率预测的更多预防性措施。

2. 发明授权

EP3293384B1 SYSTEM AND METHOD FOR CONDITION-BASED MONITORING OF A COMPRESSOR 有权转让
公开(公告)号：EP3293384B1
公开(公告)日：2020-08-05
申请号：EP17189785.3
申请日：2017-09-07
申请人： General Electric Company
发明人： ZHANG, Hua , KIPPEL, Bradly , TRAYHAN, David , HU, Iris
IPC分类号： F02C7/055 , F01D25/00

3. 发明公开

EP3315735A1 SYSTEM FOR HIGHER PLANT EFFICIENCY 有权
标题翻译：系统提高工厂效率
公开(公告)号：EP3315735A1
公开(公告)日：2018-05-02
申请号：EP17194390.5
申请日：2017-10-02
申请人： General Electric Company
发明人： ZHANG, Hua , HU, Iris
IPC分类号： F01K9/02 , F01K13/02 , F01K9/00
CPC分类号： F01K23/101 , F01K3/185 , F01K7/16 , F01K9/003 , F01K9/023 , F01K13/02 , F01N5/02 , F02C6/18 , F05D2220/31 , F05D2220/32 , F05D2220/62 , F05D2220/72 , F05D2270/3061 , Y02E20/16
摘要： A steam cycle system 44 includes a heat recovery steam generator HRSG 46 which receives exhaust gases, a steam turbine coupled to the HRSG 46 which receives a first steam flow generated by the HRSG, and a condenser 50 which condenses a second steam flow output by the steam turbine. The condenser 50 includes a plurality of heat exchanger tubes 62, a fan 52, and a steam collection header 60. The system includes one or more sensors 54 which measure one or more properties of the steam flow. The system includes a closed-loop controller 58 communicatively coupled to the one or more sensors 54. The controller 58 receives data from the one or more sensors 54, determines a flow rate of the second steam flow through the steam header using the one or more sensors 54, calculates whether the flow rate of the steam is within a threshold, and adjusts one or more operating parameters of the fan 52.
摘要翻译：蒸汽循环系统44包括接收排气的热回收蒸汽发生器HRSG 46，联接到HRSG 46的蒸汽涡轮，该蒸汽涡轮接收由HRSG产生的第一蒸汽流，以及冷凝器50，其冷凝由第二蒸汽流输出的第二蒸汽流汽轮机。冷凝器50包括多个热交换器管62，风扇52和蒸汽收集集管60.该系统包括一个或多个传感器54，其测量蒸汽流的一个或多个特性。该系统包括通信地耦合到一个或多个传感器54的闭环控制器58.控制器58从一个或多个传感器54接收数据，使用一个或多个传感器54确定通过蒸汽集管的第二蒸汽流量传感器54计算蒸汽的流量是否在阈值内，并且调整风扇52的一个或多个操作参数。

4. 发明公开

EP3293367A1 SYSTEM AND METHOD FOR CONDITION-BASED MONITORING OF TURBINE FILTERS 审中-公开
标题翻译：用于涡轮机过滤器的基于状态监测的系统和方法
公开(公告)号：EP3293367A1
公开(公告)日：2018-03-14
申请号：EP17189899.2
申请日：2017-09-07
申请人： General Electric Company
发明人： ZHANG, Hua , KIPPEL, Bradly , TRAYHAN, David , HU, Iris
IPC分类号： F01D25/00 , B01D46/00 , F02C7/055 , G05B23/02
CPC分类号： F01D21/003 , B01D46/0068 , B01D46/008 , B01D46/0086 , B01D46/442 , B01D46/446 , B01D46/448 , F01D25/002 , F02C7/055 , F05D2230/72 , F05D2260/607 , F05D2260/80 , G01M15/14 , G05B23/0283
摘要： In one embodiment, a turbine system includes an intake section 16 including a filter house, the filter house including at least one filtration stage, each of the at least one filtration stage, including a filter. The turbine system also includes one or more sensors 22 disposed in the intake section, and a processor 38 configured to receive performance data related to testing conditions of the intake section, sensor data from the one or more sensors, local conditions data, or some combination thereof, predict a filter degradation rate for the filter using a filter degradation prediction model that provides a function of performance of the filter based on the performance data, the sensor data, the local conditions data, or some combination thereof, and perform one or more preventative actions based on the filter degradation rate prediction.
摘要翻译：在一个实施例中，涡轮机系统包括具有过滤器壳体的进气部分16，过滤器壳体包括至少一个过滤级，至少一个过滤级中的每一个包括过滤器。涡轮机系统还包括设置在进气部分中的一个或多个传感器22以及配置成接收与进气部分的测试条件有关的性能数据，来自一个或多个传感器的传感器数据，本地条件数据或一些组合使用提供基于性能数据，传感器数据，本地条件数据或它们的某种组合的过滤器的性能的函数的过滤器劣化预测模型来预测过滤器的过滤器劣化速率，并执行一个或多个基于过滤器退化率预测的预防性动作。

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