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    Blade monitoring system
    1.
    发明公开
    Blade monitoring system 有权
    铲监控系统

    公开(公告)号：EP2390471A3

    公开(公告)日：2015-03-25

    申请号：EP11167813.2

    申请日：2011-05-27

    Applicant: General Electric Company

    Inventor： Badami, Vivek Venugopal

    IPC: F01D21/00 ,  G05B23/02 ,  F04D27/00 ,  F04D27/02

    CPC classification number: F01D21/003 ,  F04D27/001 ,  F04D27/0292 ,  F05D2260/80 ,  G05B23/021 ,  G05B23/0221

    Abstract: In one embodiment, a blade monitoring system (120) includes: at least one computing device configured to monitor a compressor (4) during a load change by performing actions comprising: extracting a dynamic component of a blade time-of-arrival (TOA) deviation signal in response to the load change on the compressor (4); calculating, using the dynamic component, at least one of: a natural frequency of the GT compressor blade (10) during the load change, an overshoot of the GT compressor blade (10) during the load change, a rise time of the compressor blade during the load change, a damping factor of the compressor blade during the load change, or a settling time of the GT compressor blade (10) after the load change; and determining whether the GT compressor blade (10) is damaged based upon the at least one of: the natural frequency, the overshoot, the rise time, the damping factor, or the settling time.

    Systems and methods for multi-level optimizing control systems for boilers
    2.
    发明公开
    Systems and methods for multi-level optimizing control systems for boilers 审中-公开
    针对锅炉控制系统的多级优化的系统和方法

    公开(公告)号：EP1921280A3

    公开(公告)日：2013-11-06

    申请号：EP07103532.3

    申请日：2007-03-05

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： Badami, Vivek Venugopal ,  Subbu, Rajesh Venkat ,  Taware, Avinash Vinayak ,  Bonissone, Piero Patrone ,  Widmer, Neil Colin

    IPC: F01K13/02

    CPC classification number: F01K13/02

    Abstract: Systems and methods for multi-level optimization of emission levels and efficiency for a boiler system that includes creating both boiler-level models (516) and burner-level models (524) and receiving a plurality of boiler-level system variables. The received system variables are used along with boiler system constraints to optimize boiler-level setpoints. Once the boiler-level setpoints have been optimized they are sent to the burner level (504) of a hierarchical control system (302), where they are used to optimize burner-level setpoints. Once the burner-level setpoints have been optimized they are sent to the burner control loops (530) of the plant control system (506) to be implemented.

    System and method for monitoring health of airfoils
    7.
    发明公开
    System and method for monitoring health of airfoils 有权
    系统与Verfahren zurÜberwachungder Gesundheit vonTragflügeln

    公开(公告)号：EP2518267A3

    公开(公告)日：2017-03-15

    申请号：EP12165560.9

    申请日：2012-04-25

    Applicant: General Electric Company

    Inventor： Rajagopalan, Venkatesh ,  Badami, Vivek Venugopal ,  Prabhu, Rahul Srinivas ,  Behera, Ajay Kumar ,  Bhattachrya, Aninda

    IPC: F01D5/00 ,  F01D17/02 ,  G01R31/34 ,  G01M15/00 ,  G01M15/02 ,  G01R31/00 ,  G05B15/00

    CPC classification number: F01D17/02 ,  F01D5/005 ,  F05D2260/83

    Abstract: A method (200) for monitoring the health of one or more blades is presented. The method includes the steps of generating (204) a signal representative of delta times of arrival (208) corresponding to the rotating blade, generating (210) a reconstructed signal (212) by decomposing the signal representative of the delta times of arrival (208) utilizing a multi-resolution analysis technique, wherein the reconstructed signal (212) is representative of at least one of static deflection and dynamic deflection in the rotating blade.

    Abstract translation: 提出了一种用于监测一个或多个叶片的健康状况的方法（200）。 该方法包括以下步骤：产生（204）表示对应于旋转叶片的到达时间（208）的信号的信号，通过分解表示到达时间（208）的信号，生成（210）重构信号（210） ），其中所述重构信号（212）代表所述旋转叶片中的静态偏转和动态偏转中的至少一个。

    Systems and methods for making temperature and pressure measurements utilizing a tunable laser diode
    9.
    发明公开
    Systems and methods for making temperature and pressure measurements utilizing a tunable laser diode 审中-公开
    用于与可调谐激光二极管进行温度和压力测量的系统和方法

    公开(公告)号：EP2562525A2

    公开(公告)日：2013-02-27

    申请号：EP12180476.9

    申请日：2012-08-14

    Applicant: General Electric Company

    Inventor： Badami, Vivek Venugopal ,  Mitra, Chayan

    IPC: G01L11/02

    CPC classification number: G01L11/02 ,  G01L19/0092 ,  G01L23/16

    Abstract: A system (100) for measuring a dynamic pressure in a gas using a tunable diode laser (120). The system (100) of this aspect includes a laser transmission system (102) that includes the tunable diode laser (120) and configured to transmit laser light created by the tunable diode laser (120) through the gas and a laser receiving system (104) configured to receive the laser light after it has passed through the gas to create absorption peaks from the received laser light. The laser receiving system (104) is configured to estimate a change in pressure based on an expansion of one of the absorption peaks.

    Abstract translation: 一种用于使用可调谐二极管激光器（120）测量气体中的动态压力系统（100）。 这个方面的系统（100）包括激光传输系统（102）没有包括可调谐二极管激光器（120）和被配置为将由所述可调谐二极管激光器（120）通过气体和激光接收系统创建的激光光（104 ）配置它已通过气体传递到创建从接收到的激光的光吸收峰之后接收激光。 激光接收系统（104）被配置为估计基于关于吸收峰中的一个的膨胀压力的改变。

    Method and processor for low-cost estimation of steam turbine performance
    10.
    发明公开
    Method and processor for low-cost estimation of steam turbine performance 有权
    方法和处理器用于蒸汽涡轮机发电的低成本评估

    公开(公告)号：EP1637704A1

    公开(公告)日：2006-03-22

    申请号：EP05255624.8

    申请日：2005-09-14

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： Badami, Vivek Venugopal ,  Kumar, Jitendra

    IPC: F01K13/02

    CPC classification number: F01K13/02

    Abstract: A method and a processor for determining efficiency of an installed steam turbine (30) include estimating (102), at a first plurality of times, a first mean value (214,224,234) and a first variance of at least one performance variable of the steam turbine utilizing a set of station sensors. The method further includes estimating (104), at a second plurality of times including times encompassing at least some of the first plurality of times, a second mean value (210,220,230) and a second variance of the at least one performance variable utilizing a different set of sensors, wherein the different set of sensors includes precision sensors. A mapping function is determined between the first mean values (214,224,234) and the second mean values (210,220,230) using the first mean values, the first variances, the second mean values, and the second variances.

    Abstract translation: 一种方法，以及用于安装的蒸汽涡轮机的确定性挖掘效率（30）的处理器包括在时间的第一多个，估计（102）的第一平均值（214224234）和蒸汽涡轮机的至少一个性能变量的第一方差 利用一组站的传感器。 该方法还包括在时间包含倍包围至少一些倍所述第一多个，第二平均值（210220230）和所述至少一个性能变量的利用一组不同的第二方差的第二多个估计（104） 传感器，worin所述一组不同的传感器包括高精度传感器。 映射函数的确定性开采的第一平均值（214224234），并使用所述第一平均值，所述第一方差，第二平均值的第二平均值（210220230），和第二方差之间。

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