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公开(公告)号：US20130138937A1
公开(公告)日：2013-05-30
申请号：US13305387
申请日：2011-11-28
Applicant: Achalesh Kumar Pandey , Awadesh Kumar Tiwari , Scott Mordin Hoyte , Mahesh Kumar Asati
IPC: G06F15/177
CPC classification number: G06N99/005 , F01K13/02 , F01K23/101 , G05B15/02
Abstract: Disclosed herein are methods and systems for advising and operating a power plant and related devices. In an embodiment, a power plant operator via a client 135 requests from a server 115 advisory information regarding a current power plant startup. The client 135 may receive custom advisory information based on data of an initial state of the power plant and data from past power plant startups.
Abstract translation: 本文公开了用于建议和操作发电厂和相关设备的方法和系统。 在一个实施例中，经由客户端135的发电厂操作者从服务器115请求关于当前发电厂启动的咨询信息。 客户端135可以基于发电厂的初始状态的数据和来自过去的发电厂启动的数据来接收定制的咨询信息。
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公开(公告)号：US09411326B2
公开(公告)日：2016-08-09
申请号：US13591195
申请日：2012-08-21
Applicant: Awadesh Kumar Tiwari , Christopher Eugene Long , Mahesh Kumar Asati , Scott Mordin Hoyte , Achalesh Kumar Pandey , Vikas Handa
Inventor： Awadesh Kumar Tiwari , Christopher Eugene Long , Mahesh Kumar Asati , Scott Mordin Hoyte , Achalesh Kumar Pandey , Vikas Handa
Abstract: Systems and methods provided herein output an operational advisory based upon a plurality of models derived from a plurality of data, in which the plurality of models comprise at least one of a plant transfer function, a degradation contributor model, or a plant level cost model, and in which the plurality of data is derived from at least one of current plant data, historical plant data, business data, environmental data, component data, degradation contribution data, an optimization goal, or a combination thereof.
Abstract translation: 本文提供的系统和方法基于从多个数据导出的多个模型输出操作咨询，其中多个模型包括植物传递功能，降解贡献者模型或植物水平成本模型中的至少一个， 并且其中多个数据从当前工厂数据，历史工厂数据，业务数据，环境数据，组件数据，劣化贡献数据，优化目标或其组合中的至少一个导出。
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3.发明申请公开(公告)号：US20120283988A1
公开(公告)日：2012-11-08
申请号：US13099661
申请日：2011-05-03
Applicant: Achalesh Kumar Pandey , Mahesh Kumar Asati , Kamal Mannar , Durgaprasad Nallamotu
Inventor： Achalesh Kumar Pandey , Mahesh Kumar Asati , Kamal Mannar , Durgaprasad Nallamotu
Abstract: Systems and methods for implementing benchmarking analysis for power plant operations comprise electronically accessing power plant operational data within at least one type of operation within a power plant, electronically analyzing data from one or more power plant components within one or more different power plant units in one or more collections of multiple power plant units to identify cycles and key events on one or more of a component level, a unit level and a collective level of multiple power plants, generating at least one scorecard summary of calculated power plant operational characteristics on selected levels of operation comprising one or more of a component level, unit level and collective level of power plant units, and providing the at least one scorecard summary as electronic output to a user. Additional optional steps include using the data from the scorecard summary to detect outliers and/or to cluster selected components, units or fleets having similar operational characteristics.
Abstract translation: 用于实施发电厂操作的基准分析的系统和方法包括电力访问发电厂内的至少一种类型的操作中的发电厂操作数据，电子地分析来自一个或多个不同发电厂单元中的一个或多个发电厂组件的数据 或更多的多个发电厂单元的集合，以识别多个发电厂的组件级别，单元级别和集体级别中的一个或多个上的周期和关键事件，以生成所选电平上的计算的发电厂操作特性的至少一个记分卡概要 的操作，其包括发电厂单元的组件级别，单元级别和集体级别中的一个或多个，以及将至少一个记分卡摘要作为电子输出提供给用户。 附加的可选步骤包括使用来自记分卡摘要的数据来检测异常值和/或对具有类似操作特征的所选组件，单元或队列进行聚类。
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公开(公告)号：US07103509B2
公开(公告)日：2006-09-05
申请号：US10995981
申请日：2004-11-23
Applicant: Rasiklal Punjalal Shah , Vrinda Rajiv , Mark David Osborn , Mahesh Kumar Asati , Piero Patrone Bonissone
Inventor： Rasiklal Punjalal Shah , Vrinda Rajiv , Mark David Osborn , Mahesh Kumar Asati , Piero Patrone Bonissone
IPC: G06F15/00
Abstract: A method for predicting a time to failure of a component in a system is presented. The method comprises obtaining a set of data measurements related to the component. The set of data measurements are representative of a plurality of parameters including a plurality of leading parameters. The method comprises generating a prediction model based upon the leading parameters considered in combination. The prediction model is then used to predict the time to failure of the component based on a set of real-time measurements, wherein the plurality of parameters are processed to predict the time to failure for the component. Finally, a confidence level for the predicted time to failure is determined based upon the plurality of parameters.
Abstract translation: 提出了一种用于预测系统中组件故障时间的方法。 该方法包括获得与该组件相关的一组数据测量。 数据测量集合代表包括多个前导参数的多个参数。 该方法包括基于组合考虑的前导参数生成预测模型。 然后，预测模型用于基于一组实时测量来预测组件的故障时间，其中处理多个参数以预测组件的故障时间。 最后，基于多个参数确定预测的故障时间的置信水平。
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公开(公告)号：US08756180B2
公开(公告)日：2014-06-17
申请号：US13305387
申请日：2011-11-28
Applicant: Achalesh Kumar Pandey , Awadesh Kumar Tiwari , Scott Mordin Hoyte , Mahesh Kumar Asati
CPC classification number: G06N99/005 , F01K13/02 , F01K23/101 , G05B15/02
Abstract: Disclosed herein are methods and systems for advising and operating a power plant and related devices. In an embodiment, a power plant operator via a client 135 requests from a server 115 advisory information regarding a current power plant startup. The client 135 may receive custom advisory information based on data of an initial state of the power plant and data from past power plant startups.
Abstract translation: 本文公开了用于建议和操作发电厂和相关设备的方法和系统。 在一个实施例中，经由客户端135的发电厂操作者从服务器115请求关于当前发电厂启动的咨询信息。 客户端135可以基于发电厂的初始状态的数据和来自过去的发电厂启动的数据来接收定制的咨询信息。
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Patent Agency Ranking
公开(公告)号：US20140058534A1
公开(公告)日：2014-02-27
申请号：US13591195
申请日：2012-08-21
Applicant: Awadesh Kumar Tiwari , Christopher Eugene Long , Mahesh Kumar Asati , Scott Mordin Hoyte , Achalesh Kumar Pandey , Vikas Handa
Inventor： Awadesh Kumar Tiwari , Christopher Eugene Long , Mahesh Kumar Asati , Scott Mordin Hoyte , Achalesh Kumar Pandey , Vikas Handa
IPC: G05B19/18
Abstract: Systems and methods provided herein output an operational advisory based upon a plurality of models derived from a plurality of data, in which the plurality of models comprise at least one of a plant transfer function, a degradation contributor model, or a plant level cost model, and in which the plurality of data is derived from at least one of current plant data, historical plant data, business data, environmental data, component data, degradation contribution data, an optimization goal, or a combination thereof.
Abstract translation: 本文提供的系统和方法基于从多个数据导出的多个模型输出操作咨询，其中多个模型包括植物传递功能，降解贡献者模型或植物水平成本模型中的至少一个， 并且其中多个数据从当前工厂数据，历史工厂数据，业务数据，环境数据，组件数据，劣化贡献数据，优化目标或其组合中的至少一个导出。
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公开(公告)号：US20130263892A1
公开(公告)日：2013-10-10
申请号：US13990082
申请日：2010-12-21
Applicant: Ramasamy Thiyagarajan , Ronald Scott Tarr , Hai Yang , Paul Mathew , Chen Wang , Mahesh Kumar Asati , Hui Lei , Zijun Xia , Nikhil Subhashchandra Tambe , Srinivasan Duraiswamy
Inventor： Ramasamy Thiyagarajan , Ronald Scott Tarr , Hai Yang , Paul Mathew , Chen Wang , Mahesh Kumar Asati , Hui Lei , Zijun Xia , Nikhil Subhashchandra Tambe , Srinivasan Duraiswamy
IPC: A47L15/42
CPC classification number: A47L15/4214 , A47L15/0005 , A47L15/0007 , A47L15/0026 , A47L15/0028 , A47L15/0039 , A47L15/4202 , A47L15/4208 , A47L15/4238 , A47L2601/06
Abstract: A dishwashing apparatus and a methodology are provided for washing dishware using electrolyzed water to provide alkaline and acidic water for wash and rinse cycles. The water used at the beginning of a pre-wash stage is repeatedly used in plural pre-wash cycles and filtered through sediment and oil filtration between pre-wash cycles. Water from a final rinse cycle is saved for use for future pre-wash cycles. The sediment and oil filtration filter are reversely flushed to regenerate the filtration systems.
Abstract translation: 提供了一种洗碗设备和方法，用于使用电解水洗涤餐具以提供用于洗涤和漂洗循环的碱性和酸性水。 在预洗阶段开始时使用的水在多个预洗涤循环中重复使用，并在预洗涤循环之前通过沉淀物和油过滤进行过滤。 来自最后冲洗循环的水可以保存，以供将来的预洗循环使用。 将沉淀物和油过滤器反向冲洗以再生过滤系统。
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公开(公告)号：US08208711B2
公开(公告)日：2012-06-26
申请号：US11851422
申请日：2007-09-07
Applicant: Rajashekar Venkatachalam , Mahesh Kumar Asati , Prakash Mandayam Comare , Megha Navalgund , Xiaoming Liu , Robert August Kaucic , Joseph Manuel Portaz , Manoharan Venugopal
Inventor： Rajashekar Venkatachalam , Mahesh Kumar Asati , Prakash Mandayam Comare , Megha Navalgund , Xiaoming Liu , Robert August Kaucic , Joseph Manuel Portaz , Manoharan Venugopal
CPC classification number: G01N23/04 , G01N2223/63
Abstract: A method for automatically identifying defects in turbine engine blades is provided. The method comprises acquiring one or more radiographic images corresponding to one or more turbine engine blades and identifying one or more regions of interest from the one or more radiographic images. The method then comprises extracting one or more geometric features based on the one or more regions of interest and analyzing the one or more geometric features to identify one or more defects in the turbine engine blades.
Abstract translation: 提供一种用于自动识别涡轮发动机叶片中的缺陷的方法。 所述方法包括获取对应于一个或多个涡轮发动机叶片的一个或多个放射照相图像，并从所述一个或多个放射照相图像识别感兴趣的一个或多个区域。 该方法然后包括基于所述一个或多个感兴趣区域提取一个或多个几何特征，并且分析所述一个或多个几何特征以识别所述涡轮发动机叶片中的一个或多个缺陷。
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9.发明申请AUTOMATED SYSTEM AND METHOD FOR IMPLEMENTING STATISTICAL COMPARISON OF POWER PLANT OPERATIONS 审中-公开自动化系统及实施电厂运行统计比较的方法公开(公告)号：US20120283885A1
公开(公告)日：2012-11-08
申请号：US13100479
申请日：2011-05-04
Applicant: Kamal Mannar , Mahesh Kumar Asati , Achalesh Kumar Pandey , Kelvin Rafael Estrada
Inventor： Kamal Mannar , Mahesh Kumar Asati , Achalesh Kumar Pandey , Kelvin Rafael Estrada
CPC classification number: G05B23/024
Abstract: Systems and methods for analyzing power plant data include accessing data for one or more monitored parameters, generating a continuous time-series profile model (e.g., by generalized additive model and/or principal curves techniques) of selected parameters during instances of at least one given type of power plant operation, and conducting shape analysis by comparing the continuous time-series profile model of selected monitored parameters to an entitlement curve representing ideal performance for the at least one given type of power plant operation. Data associated with the profile modeling and shape analysis techniques may be provided as electronic output to a user. Additional steps or features may involve determining a capability index for selected monitored parameters, clustering together identified groups of profile models having similar profiles, monitoring and/or optimizing parameters to identify and improve power plant performance.
Abstract translation: 用于分析发电厂数据的系统和方法包括访问一个或多个监测参数的数据，在至少一个给定的实例期间生成所选参数的连续时间序列分布模型（例如，通过广义加法模型和/或主曲线技术） 并且通过将所选择的监视参数的连续时间序列轮廓模型与表示至少一种给定类型的发电厂操作的理想性能的授权曲线进行比较来进行形状分析。 与轮廓建模和形状分析技术相关联的数据可以作为电子输出提供给用户。 附加步骤或特征可以涉及确定所选被监测参数的能力指数，将识别出的具有相似简档的轮廓模型组聚集在一起，监测和/或优化参数以识别和改善发电厂性能。
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10.发明申请公开(公告)号：US20090066939A1
公开(公告)日：2009-03-12
申请号：US11851422
申请日：2007-09-07
Applicant: Rajashekar Venkatachalam , Mahesh Kumar Asati , Prakash Mandayam Comare , Megha Navalgund , Xiaoming Liu , Robert August Kaucic , Joseph Manuel Portaz , Manoharan Venugopal
Inventor： Rajashekar Venkatachalam , Mahesh Kumar Asati , Prakash Mandayam Comare , Megha Navalgund , Xiaoming Liu , Robert August Kaucic , Joseph Manuel Portaz , Manoharan Venugopal
CPC classification number: G01N23/04 , G01N2223/63
Abstract: A method for automatically identifying defects in turbine engine blades is provided. The method comprises acquiring one or more radiographic images corresponding to one or more turbine engine blades and identifying one or more regions of interest from the one or more radiographic images. The method then comprises extracting one or more geometric features based on the one or more regions of interest and analyzing the one or more geometric features to identify one or more defects in the turbine engine blades.
Abstract translation: 提供一种用于自动识别涡轮发动机叶片中的缺陷的方法。 所述方法包括获取对应于一个或多个涡轮发动机叶片的一个或多个放射照相图像，并从所述一个或多个放射照相图像识别感兴趣的一个或多个区域。 该方法然后包括基于所述一个或多个感兴趣区域提取一个或多个几何特征，并且分析所述一个或多个几何特征以识别所述涡轮发动机叶片中的一个或多个缺陷。
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