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公开(公告)号：US20190146000A1
公开(公告)日：2019-05-16
申请号：US15809747
申请日：2017-11-10
发明人： William Edwin Hurst , Mei Gao , Vivek Gandhi , Donald Horn , Gregory Jon Chiaramonte , Katherine Tharp Nowicki , Steven Richard Levin , Michael William Bailey , Ronald Plybon , Mustafa Tekin Dokucu , Aditya Kumar
摘要： Methods, apparatus, systems, and articles of manufacture are disclosed to perform prognostic health monitoring of a turbine engine. An example apparatus includes a health quantifier calculator to execute a computer-generated model to generate first sensor data of a turbine engine, the first sensor data based on simulating a sensor monitoring the turbine engine using asset monitoring information, a parameter tracker to execute a tracking filter using the first sensor data and second sensor data to generate third sensor data corresponding to the turbine engine, the second sensor data based on obtaining sensor data from a sensor monitoring the turbine engine, the third sensor data based on comparing the first sensor data to the second sensor data, the health quantifier calculator to execute the computer-generated model using the third sensor data to generate an asset health quantifier of the turbine engine; and a report generator to generate a report including the asset health quantifier and a workscope recommendation based on the asset health quantifier when the asset health quantifier satisfies a threshold.
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公开(公告)号：US20140260288A1
公开(公告)日：2014-09-18
申请号：US13840531
申请日：2013-03-15
IPC分类号： F02C9/00
CPC分类号： F02C9/00 , F01K13/02 , F01K23/101 , F05D2220/72 , F05D2260/85 , Y02E20/16
摘要： In accordance with one aspect of the present technique, a method is disclosed. The method includes modifying one or more operational parameters of a gas turbine (GT) to increase an exhaust gas temperature above a standard start-up temperature. The method also includes receiving at least one of GT operational data, heat recovery steam generator (HRSG) operational data, and steam turbine (ST) operational data from a plurality of sensors. The method further includes predicting a ST roll-off time based on at least one of the GT operational data, the HRSG operational data, and the ST operational data. The method further includes modifying the one or more operational parameters of the GT to satisfy one or more ST roll-off permissives at the predicted ST roll-off time.
摘要翻译： 根据本技术的一个方面，公开了一种方法。 该方法包括修改燃气轮机（GT）的一个或多个操作参数以将废气温度升高到高于标准起动温度。 该方法还包括从多个传感器接收GT操作数据，热回收蒸汽发生器（HRSG）操作数据和蒸汽涡轮机（ST）操作数据中的至少一个。 该方法还包括基于GT操作数据，HRSG操作数据和ST操作数据中的至少一个来预测ST滚降时间。 该方法还包括修改GT的一个或多个操作参数以在预测的ST滚降时间满足一个或多个ST滚降许可。
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公开(公告)号：US20210317782A1
公开(公告)日：2021-10-14
申请号：US16844480
申请日：2020-04-09
发明人： Nilesh Tralshawala , Difei Wang , David Spencer Ewens , Karthik Subramanyan , Aditya Kumar , Junqiang Zhou , Anthony Bruce Campbell
摘要： Embodiments of the disclosure provide a method for operating a combined cycle power plant (CCPP). The method may include generating a power plant model for operating the CCPP, determining whether at least two gas turbines in the power plant model generate a power output, and modeling a fuel consumption of the CCPP for a baseline split ratio between the at least two gas turbines. The method may also include determining whether the variant split ratio meets a quality threshold for the CCPP, and adjusting the CCPP to use the variant split ratio in response to the variant split ratio meeting the quality threshold.
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公开(公告)号：US20160169585A1
公开(公告)日：2016-06-16
申请号：US14907324
申请日：2013-07-25
发明人： Aditya Kumar , Brett R. Ellis , Zhaoyang Wan , Claudia C. Pierce , Mustafa Tekin Dokucu , Dongrui Wu , Sangeeta Balram
CPC分类号： F28C1/04 , F28F27/003 , F28F2200/00 , G05B13/048 , G05B23/0243
摘要： A cooling tower simulation system may receive a measurement from a cooling tower sensor and generate a predicted Noutput of a cooling tower system based on a model of the cooling tower system. The simulation system may generate an estimated output using an extended Kalman filter with the measurement and the predicted output as inputs, wherein the estimated output represents a characteristic of the cooling tower system.
摘要翻译： 冷却塔模拟系统可以从冷却塔传感器接收测量值，并根据冷却塔系统的型号生成预测的冷却塔系统的Noutput。 仿真系统可以使用扩展卡尔曼滤波器生成估计输出，其中测量和预测输出作为输入，其中估计的输出表示冷却塔系统的特性。
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公开(公告)号：US20230327438A1
公开(公告)日：2023-10-12
申请号：US17717405
申请日：2022-04-11
发明人： Aditya Kumar , Reza Ghaemi , Michael Unum , Paul Kuntz , Ethan Clair Boardman
CPC分类号： H02J3/003 , G01R19/2513 , H02J2203/20
摘要： Provided is a system and method for determining the state estimate of a power grid by dividing the power grid into smaller sub-sections, generating state estimates for each sub-section, and then generating a consensus among the sub-sections. In one example, the method may include partitioning a section of the power distribution grid into a plurality of sub-sections based on loads distributed within the section of the power distribution grid, generating a plurality of state estimates for the plurality of sub-sections based on load distribution within the plurality of sub-sections and a Kalman Filter model, generating an aggregate state estimate for the section of the power distribution grid based on an aggregate of the plurality of state estimates and a boundary consensus between the plurality of sub-sections from a previous state estimation, and displaying data about the aggregate state estimate via a user interface.
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公开(公告)号：US11067592B2
公开(公告)日：2021-07-20
申请号：US15809747
申请日：2017-11-10
发明人： William Edwin Hurst , Mei Gao , Vivek Gandhi , Donald Horn , Gregory Jon Chiaramonte , Katherine Tharp Nowicki , Steven Richard Levin , Michael William Bailey , Ronald Plybon , Mustafa Tekin Dokucu , Aditya Kumar
摘要： Methods, apparatus, systems, and articles of manufacture are disclosed to perform prognostic health monitoring of a turbine engine. An example apparatus includes a health quantifier calculator to execute a computer-generated model to generate first sensor data of a turbine engine, the first sensor data based on simulating a sensor monitoring the turbine engine using asset monitoring information, a parameter tracker to execute a tracking filter using the first sensor data and second sensor data to generate third sensor data corresponding to the turbine engine, the second sensor data based on obtaining sensor data from a sensor monitoring the turbine engine, the third sensor data based on comparing the first sensor data to the second sensor data, the health quantifier calculator to execute the computer-generated model using the third sensor data to generate an asset health quantifier of the turbine engine; and a report generator to generate a report including the asset health quantifier and a workscope recommendation based on the asset health quantifier when the asset health quantifier satisfies a threshold.
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公开(公告)号：US20180284706A1
公开(公告)日：2018-10-04
申请号：US15476084
申请日：2017-03-31
发明人： Olugbenga Anubi , Anup Menon , Aditya Kumar
IPC分类号： G05B19/042 , F01D21/00
摘要： A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. To reduce the computational burden associated with generating the profit-maximizing operating profile, the system uses an estimated price of life value that accounts for creation (by cold part-loading) and exhaustion (by peak fire operation) of factored fired hour credits by means of computing the cost of such credits.
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公开(公告)号：US11880464B2
公开(公告)日：2024-01-23
申请号：US17405387
申请日：2021-08-18
CPC分类号： G06F21/566 , G06F21/577 , G06N3/045 , G06N20/00 , G06F2221/034
摘要： According to some embodiments, a system, method and non-transitory computer readable medium are provided comprising a memory storing processor-executable steps; and a processor to execute the processor-executable steps to cause the system to: receive a first data value of a plurality of data values from a data store, wherein the first data value is from a digital twin model of an industrial asset; determine, via a vulnerability module, whether the received at least one data value is a near boundary case or not a near boundary case; in a case it is determined the first data value is a near boundary case, generate one or more adversarial samples for the first data value; input each of the one or more adversarial samples to the digital twin model; execute the digital twin model to output a system response for each input adversarial sample; determine whether the system response to each input adversarial sample has a negative impact; in a case it is determined the system response has a negative impact for a given input adversarial sample, update a trained attack detection model with the given input adversarial sample; and generate a second decision boundary based on the updated trained attack detection model. Numerous other aspects are provided.
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公开(公告)号：US10452041B2
公开(公告)日：2019-10-22
申请号：US15476124
申请日：2017-03-31
发明人： Anup Menon , Sree Rama Raju Vetukuri , Olugbenga Anubi , Justin John , Marc Gavin Lindenmuth , Aditya Kumar , Ruijie Shi , Jonathan Thatcher
IPC分类号： G05B19/042 , F02C9/28
摘要： A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. During real-time operation of the assets, the optimization system can update the operating schedule based on actual market, ambient, and operating data. The system provides information that can assist operators in determining suitable conditions in which to cold part-load or peak-fire the assets in an optimally profitable manner without violating target life constraints.
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公开(公告)号：US20180370827A1
公开(公告)日：2018-12-27
申请号：US16103886
申请日：2018-08-14
发明人： Aditya Kumar , Anthony John Murray , Ruijie Shi , Zhaoyang Wan , Mustafa Tekin Dokucu , Vijaysai Prasad
摘要： A method of operating a waste water treatment plant (WWTP) having at least one of an aerobic digester (AD) and a membrane bioreactor (MBR) is described. The method of operating AD is comprised of monitoring and controlling AD in real-time using an online extended Kalman filter (EKF) having a online dynamic model of AD. The EKF uses real-time AD measured data, and online dynamic model of AD to update adapted model parameters and estimate model based inferred variables for AD, which are used for AD control by AD control system having supervisory and low-level control layers. The method of operating MBR is similar to that of AD. The supervisory control ensures the WWTP satisfying the effluent quality requirement while minimize the operation cost. A WWTP having at least one of an AD or MBR is disclosed. The method of operating a WWTP can be implemented using a computer.
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