公开(公告)号：US09940599B2

公开(公告)日：2018-04-10

申请号：US13971316

申请日：2013-08-20

Applicant: General Electric Company

Inventor： Achalesh Kumar Pandey ,  Eric Kauffman ,  Richard Kleinhample ,  Daniel Kish

IPC: G06Q10/06

CPC classification number: G06Q10/0637

Abstract: Systems and methods for generating solution recommendations for power plant operation can be provided by certain embodiments of the disclosure. In one embodiment, a system may include a processor configured to collect power plant operational data from power plant components. The power plant operational data may be analyzed to identify cost factors for the power plant components. Based at least in part on the power plant operational data and the cost factors, upgrade opportunities for the power plant components may be determined. Financial values may be calculated for the upgrade opportunities. Based at least in part on the financial values, recommendations may be generated using a product interaction database and provided as an electronic output to a user.

公开(公告)号：US09683552B2

公开(公告)日：2017-06-20

申请号：US14198641

申请日：2014-03-06

Applicant: General Electric Company

Inventor： Awadesh Kumar Tiwari ,  Peter Alan Gregg ,  Raul Munoz Medina ,  Achalesh Kumar Pandey ,  Isaac Alejandro Martinez Tovar

IPC: F03D7/04

CPC classification number: F03D7/04 ,  F03D7/046 ,  F05B2260/821 ,  Y02E10/723

Abstract: The present subject matter is directed to a system and method for optimizing wind turbine operation. For example, the present disclosure is configured to generate operating data for at least one operational parameter of the wind turbine for a predetermined time period. The system can then determine a robustness measurement of at least a portion of the operating data. In general, the robustness measurement indicates the tendency of the operating data to be affected by outliers present in the operating data. In addition, the robustness measurement is typically a function of a distribution of the operating data. The present disclosure is then configured to determine at least one optimal set point for the operational parameter as a function of the robustness measurement and a power production of the wind turbine. The wind turbine can then be operated based on the optimal set point.

公开(公告)号：US09404426B2

公开(公告)日：2016-08-02

申请号：US14555130

申请日：2014-11-26

Applicant: General Electric Company

Inventor： Lisa Anne Wichmann ,  Achalesh Kumar Pandey ,  Christopher Michael Raczynski

IPC: F01K13/02 ,  F02C9/50 ,  F01D21/00

CPC classification number: F02C9/50 ,  F01D21/003 ,  F05D2260/81 ,  F05D2260/82 ,  F05D2260/821

Abstract: A control method for optimizing an operation of a power plant having generating units during a selected operating period subdivided so to include regular intervals within which each of the generating units comprises one of an on-condition and an off-condition. The control method may include: determining a preferred case for each of the competing operating modes for the intervals; based upon the preferred cases, selecting proposed turndown operating sequences for the selected operating period; determining a shutdown operation for each of the generating units comprising the off-condition for one or more intervals during the selected operating period and, therefrom, calculating a shutdown economic outcome; determining a turndown operation for each of the generating units comprising the on-condition for one or more intervals during the selected operating period and, therefrom, calculating a turndown economic outcome; calculating a sequence economic outcome for each of the proposed turndown operating sequences; and comparing the sequence economic outcomes.

Abstract translation: 一种用于优化在所选择的操作周期内具有生成单元的发电厂的操作的控制方法，所述操作周期被细分为包括规则间隔，其中每个发电单元包括接通状态和关闭状态之一。 控制方法可以包括：为间隔的每个竞争操作模式确定优选情况; 基于优选的情况，选择所选择的操作期间的提议的下降操作序列; 确定每个所述发电单元的关闭操作，所述发电单元包括在所选择的运行期间内的一个或多个间隔的关闭状态，并且由此计算关闭经济结果; 确定在所选择的运行期间内包括所述接通状态的每个所述发电单元的一个或多个间隔的下降操作，并且由此计算调低经济结果; 计算每个拟议的下调操作序列的序列经济结果; 并比较序列经济结果。

公开(公告)号：US20160160762A1

公开(公告)日：2016-06-09

申请号：US14562925

申请日：2014-12-08

Applicant: General Electric Company

Inventor： Ramu Sharat Chandra ,  Achalesh Kumar Pandey ,  David Stephen Muench ,  Niranjan Gokuldas Pai

IPC: F02C9/50 ,  F01D21/00

CPC classification number: F01D21/003 ,  F01D21/14 ,  F02C9/28 ,  F05D2260/81 ,  F05D2260/821 ,  F05D2270/11 ,  G05B23/0283

Abstract: A method for estimating and managing life of a gas turbine is provided. The method includes estimating a remaining useful life of a component of a gas turbine, obtaining parameters of the gas turbine, at least one of which comprises the estimate of the remaining useful life of a component of the gas turbine, assigning operating weightages to the gas turbine parameters based a plant objective, generating a set point for operating the gas turbine based on the weighted gas turbine parameters, and adjusting an operating characteristic of the gas turbine to meet the set point.

Abstract translation: 提供了一种用于估计和管理燃气轮机寿命的方法。 该方法包括估计燃气轮机的部件的剩余使用寿命，获得燃气轮机的参数，其中至少一个包括对燃气轮机部件的剩余使用寿命的估计，为气体分配操作重量 基于工厂目标的涡轮机参数，基于加权燃气轮机参数产生用于操作燃气涡轮机的设定点，以及调整燃气涡轮机的工作特性以满足设定点。

公开(公告)号：US20150185716A1

公开(公告)日：2015-07-02

申请号：US14587682

申请日：2014-12-31

Applicant: General Electric Company

Inventor： Lisa Anne Wichmann ,  Achalesh Kumar Pandey ,  Eric Thomas Pool ,  Christopher Michael Raczynski ,  Suresh Pamujula

IPC: G05B13/04 ,  F01K23/10 ,  G05F1/66 ,  F02C6/00

CPC classification number: F01K13/02 ,  F01K23/101 ,  F02C6/00 ,  F02C9/28 ,  F05D2220/32 ,  F05D2220/72 ,  F05D2260/80 ,  F05D2270/053 ,  F05D2270/709 ,  G05B13/04 ,  G05F1/66 ,  Y02E20/16

Abstract: A control method for optimizing or enhancing an operation of a power plant that includes thermal generating units for generating electricity. The power plant may include multiple possible operating modes differentiated by characteristics of operating parameters. The method may include tuning a power plant model so to configure a tuned power plant model. The method may further include simulating proposed operating modes of the power plant with the tuned power plant model. The simulating may include a simulation procedure that includes: defining a second operating period; selecting the proposed operating modes from the possible operating modes; with the tuned power plant model, performing a simulation run for each of the proposed operating modes whereby the operation of the power plant during the second operating period is simulated; and obtaining simulation results from each of the simulation runs.

Abstract translation: 一种用于优化或增强包括发电单元的发电厂的运行的控制方法。 发电厂可以包括通过操作参数的特性区分的多种可能的操作模式。 该方法可以包括调整发电厂模型以配置调谐的发电厂模型。 该方法还可以包括利用调谐的发电厂模型来模拟所提出的发电厂的运行模式。 模拟可以包括模拟过程，其包括：定义第二操作周期; 从可能的操作模式中选择所提出的操作模式; 利用调谐发电厂模型，对所提出的运行模式进行模拟运行，由此模拟在第二运行期间的发电厂的运行; 并从每个模拟运行中获取仿真结果。

公开(公告)号：US20150160096A1

公开(公告)日：2015-06-11

申请号：US14097540

申请日：2013-12-05

Applicant: General Electric Company

Inventor： Romano Patrick ,  Matthew Francis Lemmon ,  Subrat Nanda ,  Jonathan David White ,  Achalesh Kumar Pandey

IPC: G01M15/14 ,  F23R3/00 ,  F23M11/00

CPC classification number: G01M15/14 ,  F05D2260/80 ,  F23M11/00 ,  F23N5/16 ,  F23N5/242 ,  F23N2023/48 ,  F23N2023/54 ,  F23N2041/20 ,  F23R3/00 ,  F23R2900/00005 ,  Y02T50/677

Abstract: A system for detecting an at-fault combustor includes a sensor that is configured to sense combustion dynamics pressure data from the combustor and a computing device that is in electronic communication with the sensor and configured to receive the combustion dynamics pressure data from the sensor. The computing device is programmed to convert the combustion dynamics pressure data into a frequency spectrum, segment the frequency spectrum into a plurality of frequency intervals, extract a feature from the frequency spectrum, generate feature values for the feature within a corresponding frequency interval over a period of time, and to store the feature values to generate a historical database. The computing device is further programmed to execute a machine learning algorithm using the historical database of the feature values to train the computing device to recognize feature behavior that is indicative of an at-fault combustor.

Abstract translation: 用于检测故障期间燃烧器的系统包括传感器，其被配置为感测来自燃烧器的燃烧动力学压力数据和与传感器电子通信并被配置为从传感器接收燃烧动力学压力数据的计算设备。 计算装置被编程为将燃烧动态压力数据转换成频谱，将频谱分段成多个频率间隔，从频谱中提取特征，在一段时间内在对应的频率间隔内生成特征的特征值 的时间，并存储特征值以生成历史数据库。 计算设备还被编程为使用特征值的历史数据库来执行机器学习算法，以训练计算设备以识别指示故障燃烧器的特征行为。