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    DETECTION FOR LOCALIZING A PARTICLE
    2.
    发明申请
    DETECTION FOR LOCALIZING A PARTICLE 审中-公开
    用于定位颗粒的检测

    公开(公告)号：US20160377466A1

    公开(公告)日：2016-12-29

    申请号：US15039435

    申请日：2014-11-27

    Applicant: SIEMENS AKTIENGESELLSCHAFT

    Inventor： Holger Hackstein ,  Christian Morhart ,  Florian Poprawa ,  Andreas Ziroff ,  Dominik Zoeke

    IPC: G01F1/66 ,  G01S13/58 ,  G01N15/06

    CPC classification number: G01F1/66 ,  G01N15/0656 ,  G01N15/1031 ,  G01N2015/0026 ,  G01N2015/0046 ,  G01N2015/0053 ,  G01S13/583 ,  G01S13/9064 ,  G01S2013/466

    Abstract: Detection for localizing at least one particle moving in a flow includes emitting a transmission signal by a transmitter, and receiving a reflected reception signal. The reflected reception signal is frequency and phase modulated in comparison with the transmission signal. The reflected reception signal is convolved with at least one kernel representative of a conjugate estimated channel pulse response. A reconstructed particle position function is formed, and the position of the particle is determined from the reconstructed particle position function.

    Abstract translation: 用于定位在流动中移动的至少一个粒子的检测包括由发射器发射发射信号，以及接收反射的接收信号。 与发送信号相比，反射的接收信号是频率和相位调制的。 反射的接收信号与代表共轭估计信道脉冲响应的至少一个核进行卷积。 形成重建的粒子位置函数，并根据重建粒子位置函数确定粒子的位置。

    SYSTEMS AND METHODS FOR BOOSTING COAL QUALITY MEASUREMENT STATEMENT OF RELATED CASES
    3.
    发明申请
    SYSTEMS AND METHODS FOR BOOSTING COAL QUALITY MEASUREMENT STATEMENT OF RELATED CASES 审中-公开
    提高煤炭质量测量的系统和方法相关案例声明

    公开(公告)号：US20160018378A1

    公开(公告)日：2016-01-21

    申请号：US14772088

    申请日：2014-02-13

    Applicant: Siemens Aktiengesellschaft

    Inventor： Chao Yuan ,  Amit Chakraborty ,  Holger Hackstein ,  Ping Zhang ,  Liang Lan

    IPC: G01N33/22 ,  G01N21/359 ,  G01N21/3563

    CPC classification number: G01N33/222 ,  G01J3/28 ,  G01N21/3563 ,  G01N21/359 ,  G01N2201/129

    Abstract: Properties of coal are determined from samples processed by a near-infrared spectroscopy (NIR) device that generates wavelengths dependent spectra. Target values of the properties are associated with the NIR spectra by a kernel based regression model generated from training data based on an anisotropic kernel function that is extended by defining the kernel parameters as a smooth function over the wavelengths associated with a spectrum. Like the anisotropic case each wavelength related dimension has its own kernel parameter. Adjacent dimensions are restricted to have similar kernel parameters. Measured spectra with a limited number of features are reconstructed by applying a regression model based on training data of spectra having an extended number of features. Training data are pruned based on a regression model by removing outliers.

    Abstract translation: 煤的性质由通过产生波长依赖光谱的近红外光谱（NIR）装置处理的样品确定。 属性的目标值通过基于内核的回归模型与基于内核的回归模型相关联，所述回归模型基于通过将核参数定义为与频谱相关联的波长上的平滑函数来扩展的各向异性核函数，从训练数据生成。 像各向异性情况一样，每个波长相关尺寸都有自己的内核参数。 相邻的维度被限制为具有相似的内核参数。 通过应用基于具有扩展数量特征的光谱的训练数据的回归模型来重建具有有限数量特征的测量光谱。 通过消除异常值，通过回归模型修剪培训数据。

    Combining Multiple Trending Models for Photovoltaics Plant Output Forecasting
    6.
    发明申请
    Combining Multiple Trending Models for Photovoltaics Plant Output Forecasting 审中-公开
    结合光伏植物产量预测的多种趋势模型

    公开(公告)号：US20170031867A1

    公开(公告)日：2017-02-02

    申请号：US15301481

    申请日：2014-04-14

    Applicant: Siemens Aktiengesellschaft

    Inventor： Chao Yuan ,  Amit Chakraborty ,  Eberhard Ritzhaupt-Kleissl ,  Holger Hackstein

    IPC: G06F17/18 ,  G06N99/00

    Abstract: A method of predicting an amount of power that will be generated by a solar power plant at a future time includes: forecasting a value of a data variable at the future time that is likely to affect the ability of the solar power plant to produce electricity (S301); computing a plurality of features from prior observed amounts of power generated by the power plant during different previous durations (S302); determining a trending model from the computed features and the forecasted value (S303); and predicting the amount of power that will be generated by the power plant at the future time from the determined model (S304).

    Abstract translation: 预测未来太阳能发电厂将产生的功率量的方法包括：预测未来可能影响太阳能发电厂发电的能力的数据变量的值（ S301）; 从先前在先前持续时间期间由发电厂产生的功率的电力计算多个特征（S302）; 根据计算出的特征和预测值确定趋势模型（S303）; 并且从所确定的模型预测未来发电厂将产生的功率量（S304）。

    OPTIMIZATION OF COLD STARTS IN THERMAL POWER STATIONS, IN PARTICULAR IN STEAM-ELECTRIC POWER PLANTS OR IN COMBINED CYCLE POWER PLANTS (CCPPS)
    7.
    发明申请
    OPTIMIZATION OF COLD STARTS IN THERMAL POWER STATIONS, IN PARTICULAR IN STEAM-ELECTRIC POWER PLANTS OR IN COMBINED CYCLE POWER PLANTS (CCPPS) 审中-公开
    在热电站，特别是蒸汽电厂或组合循环电厂（CCPPS）中优化冷起动

    公开(公告)号：US20160146110A1

    公开(公告)日：2016-05-26

    申请号：US14781471

    申请日：2014-04-01

    Applicant: SIEMENS AKTIENGESELLSCHAFT

    Inventor： Holger Hackstein ,  Leif Wiebking

    IPC: F02C7/26 ,  F02C6/18

    CPC classification number: F02C7/26 ,  F01K3/12 ,  F01K13/02 ,  F02C6/18 ,  Y02E20/14 ,  Y02E20/16

    Abstract: A thermal power plant, in particular to a steam-electric power plant or a combined cycle power plant (CCPP), and a method for operating a thermal power plant is adapted to accelerate, or to technically and/or economically optimize the start-up of the thermal power plant, in particular to accelerate/optimize a cold-start phase of the thermal power station. The thermal power plant has an auxiliary energy store integrated into the power plant. The store, during the start-up of the thermal power plant, delivers energy for heating/pre-heating components and/or media of the thermal power plant, or supplies an electrical power distribution network.

    Abstract translation: 火电厂，特别是蒸汽发电厂或联合循环发电厂（CCPP），以及用于操作火力发电厂的方法适用于加速或技术上和/或经济地优化启动 特别是加速/优化火力发电站的冷启动阶段。 火力发电厂有一个集成到发电厂的辅助能源存储。 在火力发电厂启动期间，该商店提供用于加热/预热火力发电厂的组件和/或介质的能量，或者提供配电网络。

    Solar power forecasting using mixture of probabilistic principal component analyzers
    8.
    发明授权
    Solar power forecasting using mixture of probabilistic principal component analyzers 有权

    公开(公告)号：US10386544B2

    公开(公告)日：2019-08-20

    申请号：US15320899

    申请日：2015-06-29

    Applicant: Siemens Aktiengesellschaft

    Inventor： Chao Yuan ,  Amit Chakraborty ,  Holger Hackstein

    IPC: G01W1/10 ,  G06Q10/04 ,  G06N7/00 ,  G01W1/12 ,  G06F17/18 ,  G06Q50/06

    Abstract: A method for solar forecasting includes receiving a plurality of solar energy data as a function of time of day at a first time, forecasting from the solar energy data a mode, where the mode is a sunny day, a cloudy day, or an overcast day, and the forecast predicts the mode for a next solar energy datum, receiving the next solar energy datum, updating a probability distribution function (pdf) of the next solar energy datum given the mode, updating a pdf of the mode for the next solar energy datum from the updated pdf of the new solar energy datum given the mode, forecasting a plurality of future unobserved solar energy data from the updated pdf of the mode, where the plurality of future unobserved solar energy data and the plurality of solar energy data have a Gaussian distribution for a given mode determined from training data.

    SENSOR APPARATUS FOR ANALYZING A GAS MIXTURE IN A PROCESS CHAMBER
    9.
    发明申请
    SENSOR APPARATUS FOR ANALYZING A GAS MIXTURE IN A PROCESS CHAMBER 有权
    用于分析过程室中的气体混合物的传感器装置

    公开(公告)号：US20160003789A1

    公开(公告)日：2016-01-07

    申请号：US14749682

    申请日：2015-06-25

    Applicant: SIEMENS AKTIENGESELLSCHAFT

    Inventor： Gerit EBELSBERGER ,  Holger Hackstein ,  Erhard Magori

    IPC: G01N33/00 ,  F23R3/00

    CPC classification number: G01N33/004 ,  F23R3/002 ,  G01N1/2226 ,  G01N1/2247

    Abstract: A sensor apparatus for analyzing a gas in a process chamber, having a housing, a gas sensor for analyzing at least a part of the gas, the gas sensor being arranged at a determined position in the housing, a gas feed for connecting the housing to the process chamber to feed the part of the gas from the process chamber into the housing and to the determined position, and a gas discharge for discharging the gas from the housing, wherein the gas feed and the gas discharge are configured as tubes lying inside one another, characterized by a closure cap at the combustion chamber-side end of the tubes lying inside one another, the closure cap including an even number of at least four openings with the same area, which are connected alternately as a gas inlet and a gas outlet to the tubes lying inside one another is provided.

    Abstract translation: 一种用于分析处理室中的气体的传感器装置，具有壳体，用于分析气体的至少一部分的气体传感器，气体传感器布置在壳体中的确定位置处，气体供给装置用于将壳体连接到 所述处理室将所述气体的一部分从所述处理室供给到所述壳体和所述确定位置，以及用于从所述壳体排出气体的气体放电，其中所述气体进料和所述气体排出构造为位于一个内部的管 另一个特征在于在彼此相对的管的燃烧室侧端部处的封闭盖，封闭盖包括偶数个具有相同面积的至少四个开口，其交替地连接作为气体入口和气体 提供了彼此相对置的管的出口。

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