NON-INTRUSIVE REPLAY ATTACK DETECTION SYSTEM

    公开(公告)号:US20210185085A1

    公开(公告)日:2021-06-17

    申请号:US16712221

    申请日:2019-12-12

    Abstract: In some embodiments, identifying a replay attack in an industrial control system of an industrial asset includes receiving a first set of time series data associated with an ambient condition of one or more first monitoring nodes at a first location of the industrial control system. An actual system feature value for the industrial asset is determined based upon the first set of time series data. A second set of time series data indicative of the ambient condition at a second location is received, and a nominal system feature value is determined based upon the second set of time series data. A correlation between the actual feature value and the nominal system feature value is analyzed to determine a correlation result. A request received by the industrial control system is selectively categorized as a replay attack based upon the correlation result.

    RESIDUAL-BASED SUBSTATION CONDITION MONITORING AND FAULT DIAGNOSIS

    公开(公告)号:US20200292608A1

    公开(公告)日:2020-09-17

    申请号:US16562711

    申请日:2019-09-06

    Abstract: Briefly, embodiments are directed to a system, method, and article for monitoring and diagnosing a status of one or more assets of a power grid system. Input data measurements and training data measurements from one or more data sources relating to the power grid system may be accessed or received. An offline training phase and an online monitoring and diagnosis phase may be performed. During the offline training phase, first features may be extracted from the training measurement data, one or more residual generation models may be trained using the extracted features as model inputs, and one or more residual-based classifiers may be trained. During the online monitoring and diagnosis phase, second features may be extracted from the input measurement data, one or more residuals may be generated based on the extracted second features, and a status of the one or more assets may be determined based on the one or more residuals, where the one or more residuals may comprise a difference between model predicted values and measured values from the one or more data sources. An output may be generated indicating the status of the one or more assets based on the classification of the status.

    FUEL CELL SYSTEM AND OPERATING METHOD THEREOF

    公开(公告)号:US20170346118A1

    公开(公告)日:2017-11-30

    申请号:US15605227

    申请日:2017-05-25

    Abstract: A fuel cell system is disclosed, which includes an anode recirculation loop comprising a fuel cell stack for generating power, a flowmeter for measuring a fuel flow rate of a fuel provided into the anode recirculation loop, a current measuring device for measuring a current drawn from the fuel cell stack, a recycle ratio measuring device for measuring a recycle ratio in the anode recirculation loop, and a processor for estimating a fuel utilization of the fuel cell stack based on the measured fuel flow rate, the measured current and the measured recycle ratio. Methods for operating the fuel cell system are also disclosed.

    TWO-STEP OSCILLATION SOURCE LOCATOR

    公开(公告)号:US20230082184A1

    公开(公告)日:2023-03-16

    申请号:US17493993

    申请日:2021-10-05

    Abstract: Provided is a system and method for detecting source(s) of oscillation on a power grid. In one example, the method may include receiving measurements from one or more sensors on a power grid, the measurements including data of an oscillation within the power grid, determining, via execution of one or more machine learning model, a candidate set of power system components disposed on the power grid that are candidates for being the source(s) of the oscillation, identifying, via execution of an optimization model, a component from among the candidate set of power system components which is the source (e.g., location, controller type, and/or asset type) of the oscillation, and displaying, via a user interface, information about the identified component.

    POWER SYSTEM MEASUREMENT BASED MODEL CALIBRATION WITH ENHANCED OPTIMIZATION

    公开(公告)号:US20210399546A1

    公开(公告)日:2021-12-23

    申请号:US17288617

    申请日:2018-11-05

    Abstract: A dynamic simulation engine, having system parameters, may be provided for a component of an electrical power system (e.g., a generator, wind turbine, etc.). A model parameter tuning engine may receive, from a measurement data store, measurement data measured by an electrical power system measurement unit (e.g., a phasor measurement unit or digital fault recorder measuring a disturbance event). The model parameter tuning engine may then pre-condition the measurement data and set-up an optimization problem based on a result of the pre-conditioning. The system parameters of the dynamic simulation engine may be determined by solving the optimization problem with an iterative method until at least one convergence criteria is met. According to some embodiments, solving the optimization problem includes a Jacobian approximation that does not call the dynamic simulation engine if an improvement of residual meets a pre-defined criteria.

    KNOWLEDGE-BASED SYSTEMATIC HEALTH MONITORING SYSTEM

    公开(公告)号:US20200293033A1

    公开(公告)日:2020-09-17

    申请号:US16562641

    申请日:2019-09-06

    Abstract: Briefly, embodiments are directed to a system, method, and article for monitoring health of a power system. Input data may be received from one or more sources, where the input data comprises at least measurements of one or more power system assets from one or more phasor measurement units (PMUs). An anomaly may be detected within the power system based on the input data. A determination may be made as to whether the anomaly comprises an asset anomaly of the one or more power system assets. In response to determining that the anomaly comprises an asset anomaly, a characterization may be made as to whether the asset anomaly comprises an equipment anomaly or a sensor anomaly and an alert may be generated to indicate whether the asset anomaly comprises the equipment anomaly or the sensor anomaly based on the characterization.

    COMBUSTION OPTIMIZATION SYSTEM AND METHOD
    17.
    发明申请
    COMBUSTION OPTIMIZATION SYSTEM AND METHOD 审中-公开
    燃烧优化系统和方法

    公开(公告)号:US20160320360A1

    公开(公告)日:2016-11-03

    申请号:US15142250

    申请日:2016-04-29

    CPC classification number: G01N33/004 F23N5/003 F23N2900/05005 G01N33/0036

    Abstract: A combustion optimization system is disclosed. The system includes a boiler having a plurality of zonal locations, a sensor grid comprising a plurality of sensors, a sensor validation device and an optimizing controller. The plurality of sensors are configured to provide a plurality of sensor signals and the plurality of sensor signals are indicative of measurements of the respective zonal locations. The sensor validation device is configured for receiving the plurality of sensor signals from the plurality of sensors and generating validated sensor signals of the respective sensors based on the plurality of received sensor signals and pre-determined correlations among the plurality of received sensor signals. The optimizing controller is configured for optimizing at least one operating parameter of the boiler based on the validated sensor signals of the respective sensors. A combustion optimization method is also disclosed.

    Abstract translation: 公开了一种燃烧优化系统。 该系统包括具有多个纬向位置的锅炉,包括多个传感器的传感器网格,传感器验证装置和优化控制器。 多个传感器被配置为提供多个传感器信号,并且多个传感器信号指示各个区域位置的测量。 传感器验证装置被配置为基于多个接收到的传感器信号和多个接收到的传感器信号之间的预定相关来从多个传感器接收多个传感器信号并产生相应传感器的经验证的传感器信号。 优化控制器被配置为基于相应传感器的经验证的传感器信号来优化锅炉的至少一个操作参数。 还公开了一种燃烧优化方法。

    SYSTEM AND METHOD FOR CONTROLLING FLOW RATE RATIO
    18.
    发明申请
    SYSTEM AND METHOD FOR CONTROLLING FLOW RATE RATIO 审中-公开
    控制流量比率的系统和方法

    公开(公告)号:US20160104906A1

    公开(公告)日:2016-04-14

    申请号:US14876438

    申请日:2015-10-06

    Abstract: A system for controlling a flow rate ratio includes a fuel cell comprising an anode for generating a tail gas and having an inlet and an outlet; a fuel reformer for mixing a fuel with the tail gas from the outlet of the anode to generate a reformed stream which is split into first and second branch streams at a splitting position, the first branch stream returned to the inlet of the anode; a cooler for removing heat from the second branch stream; a bottoming cycle including an external or internal combustion engine driven in response to the cooled second branch stream; a measuring device for measuring differential pressures of two of the main stream, the first branch stream and the second branch stream; and a controlling device for controlling a flow rate ratio of the first branch stream to the main stream in response to the measured differential pressures.

    Abstract translation: 用于控制流量比的系统包括燃料电池,其包括用于产生尾气并具有入口和出口的阳极; 燃料重整器,用于将燃料与来自阳极出口的尾气混合以产生在分离位置被分成第一和第二分支流的重整流,第一分支流返回到阳极的入口; 用于从第二分支流中除去热量的冷却器; 包括响应于冷却的第二分支流驱动的外部或内燃机的底循环; 用于测量主流,第一分支流和第二分支流中的两个的压差的测量装置; 以及控制装置,用于响应于测量的差压控制第一分支流与主流的流量比。

    SYSTEM AND METHOD FOR COMBUSTION TUNING
    19.
    发明申请
    SYSTEM AND METHOD FOR COMBUSTION TUNING 审中-公开
    用于燃烧调节的系统和方法

    公开(公告)号:US20160091203A1

    公开(公告)日:2016-03-31

    申请号:US14863946

    申请日:2015-09-24

    Abstract: A method for combustion tuning, comprises collecting exhaust parameters indicating combustion status of a boiler by a sensor array; determining whether the exhaust parameters of the boiler match a preset optimization target; and optimizing combustion, if the exhaust parameters do not match the preset optimization target by selecting a model from a model repository based on a current boiler condition, wherein the model corresponds to a relationship between model input variables and the exhaust parameters; determining at least one optimized model input variable of the boiler for realizing the optimization target, based on the selected model; and adjusting actuators of the boiler according to the optimized model input variable.

    Abstract translation: 一种用于燃烧调节的方法,包括通过传感器阵列收集指示锅炉的燃烧状态的排气参数; 确定锅炉的排气参数是否匹配预设的优化目标; 并且优化燃烧,如果所述排气参数与所述预设优化目标不匹配,则基于当前锅炉条件从所述模型储存库中选择模型,其中所述模型对应于模型输入变量与排气参数之间的关系; 基于所选择的模型,确定所述锅炉的至少一个优化模型输入变量,以实现所述优化目标; 并根据优化的模型输入变量调整锅炉的执行器。

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