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    Systems and methods for real-time dynamic simulation of uninterruptible power supply solutions and their control logic systems
    1.
    发明授权
    Systems and methods for real-time dynamic simulation of uninterruptible power supply solutions and their control logic systems 有权
    用于不间断电源解决方案及其控制逻辑系统的实时动态仿真的系统和方法

    公开(公告)号：US07844440B2

    公开(公告)日：2010-11-30

    申请号：US11775146

    申请日：2007-07-09

    申请人： Adib Nasle ,  Ali Nasle ,  Ali Moshref

    发明人： Adib Nasle ,  Ali Nasle ,  Ali Moshref

    IPC分类号： G06F7/60 ,  G06F17/10 ,  G06F17/50 ,  G06G7/54

    CPC分类号： G06F17/5009 ,  G06F2217/78

    摘要： A system for real-time modeling of uninterruptible power supply (UPS) control elements protecting an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a virtual system modeling engine, an analytics engine and a UPS transient stability simulation engine. The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The UPS transient stability simulation engine stores and processes patterns observed from the real-time data output and utilizes a user-defined UPS control logic model to forecast an aspect of the interaction between UPS control elements and the electrical system subjected to a simulated contingency event.

    摘要翻译： 公开了一种用于实时建模用于保护电气系统的不间断电源（UPS）控制元件的系统。 该系统包括数据采集组件，功率分析服务器和客户终端。 数据采集​​组件获取从电气系统输出的实时数据。 功率分析服务器由虚拟系统建模引擎，分析引擎和UPS瞬态稳定性仿真引擎组成。 虚拟系统建模引擎为电气系统生成预测数据输出。 分析引擎监控电气系统的实时数据输出和预测数据输出。 UPS瞬态稳定性仿真引擎存储和处理从实时数据输出观察到的模式，并利用用户定义的UPS控制逻辑模型来预测UPS控制元件与经受模拟应急事件的电气系统之间的相互作用的一个方面。

    Systems and methods for real-time system monitoring and predictive analysis
    2.
    发明授权
    Systems and methods for real-time system monitoring and predictive analysis 有权
    用于实时系统监控和预测分析的系统和方法

    公开(公告)号：US07826990B2

    公开(公告)日：2010-11-02

    申请号：US11674994

    申请日：2007-02-14

    申请人： Adib Nasle ,  Ali Nasle ,  Kevin Meagher

    发明人： Adib Nasle ,  Ali Nasle ,  Kevin Meagher

    IPC分类号： G06F17/50

    CPC分类号： G06F17/5009 ,  G05B23/0254 ,  G05B23/0297 ,  G06F2217/04

    摘要： A system for providing real-time modeling of an electrical system under management is disclosed. The system includes a data acquisition component, a virtual system modeling engine, and an analytics engine. The data acquisition component is communicatively connected to a sensor configured to provide real-time measurements of data output from an element of the system. The virtual system modeling engine is configured to generate a predicted data output for the element. The analytics engine is communicatively connected to the data acquisition system and the virtual system modeling engine and is configured to monitor and analyze a difference between the real-time data output and the predicted data output.

    摘要翻译： 公开了一种用于提供正在管理的电气系统的实时建模的系统。 该系统包括数据采集组件，虚拟系统建模引擎和分析引擎。 数据采集​​部件通信地连接到被配置为提供从系统的元件输出的数据的实时测量的传感器。 虚拟系统建模引擎被配置为生成元素的预测数据输出。 分析引擎通信连接到数据采集系统和虚拟系统建模引擎，并配置为监视和分析实时数据输出与预测数据输出之间的差异。

    SYSTEMS AND METHODS FOR REAL-TIME DYNAMIC SIMULATION OF UNINTERRUPTIBLE POWER SUPPLY SOLUTIONS AND THEIR CONTROL LOGIC SYSTEMS
    3.
    发明申请
    SYSTEMS AND METHODS FOR REAL-TIME DYNAMIC SIMULATION OF UNINTERRUPTIBLE POWER SUPPLY SOLUTIONS AND THEIR CONTROL LOGIC SYSTEMS 有权
    用于实时动态模拟不间断电源解决方案及其控制逻辑系统的系统和方法

    公开(公告)号：US20080215302A1

    公开(公告)日：2008-09-04

    申请号：US11775146

    申请日：2007-07-09

    申请人： Adib Nasle ,  Ali Nasle ,  Ali Moshref

    发明人： Adib Nasle ,  Ali Nasle ,  Ali Moshref

    IPC分类号： G06G7/62

    CPC分类号： G06F17/5009 ,  G06F2217/78

    摘要： A system for real-time modeling of uninterruptible power supply (UPS) control elements protecting an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a virtual system modeling engine, an analytics engine and a UPS transient stability simulation engine.The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The UPS transient stability simulation engine stores and processes patterns observed from the real-time data output and utilizes a user-defined UPS control logic model to forecast an aspect of the interaction between UPS control elements and the electrical system subjected to a simulated contingency event.

    摘要翻译： 公开了一种用于实时建模用于保护电气系统的不间断电源（UPS）控制元件的系统。 该系统包括数据采集组件，功率分析服务器和客户终端。 数据采集​​组件获取从电气系统输出的实时数据。 功率分析服务器由虚拟系统建模引擎，分析引擎和UPS瞬态稳定性仿真引擎组成。 虚拟系统建模引擎为电气系统生成预测数据输出。 分析引擎监控电气系统的实时数据输出和预测数据输出。 UPS瞬态稳定性仿真引擎存储和处理从实时数据输出观察到的模式，并利用用户定义的UPS控制逻辑模型来预测UPS控制元件与经受模拟应急事件的电气系统之间的相互作用的一个方面。

    SYSTEMS AND METHODS FOR PROVIDING REAL-TIME PREDICTIONS OF ARC FLASH INCIDENT ENERGY, ARC FLASH PROTECTION BOUNDARY, AND REQUIRED PERSONAL PROTECTIVE EQUIPMENT (PPE) LEVELS TO COMPLY WITH WORKPLACE SAFETY STANDARDS
    4.
    发明申请
    SYSTEMS AND METHODS FOR PROVIDING REAL-TIME PREDICTIONS OF ARC FLASH INCIDENT ENERGY, ARC FLASH PROTECTION BOUNDARY, AND REQUIRED PERSONAL PROTECTIVE EQUIPMENT (PPE) LEVELS TO COMPLY WITH WORKPLACE SAFETY STANDARDS 有权
    用于提供ARC闪电事故能源，弧形闪电保护边界及所需个人防护设备（PPE）的实时预测的系统和方法，以符合工作场所安全标准

    公开(公告)号：US20080167844A1

    公开(公告)日：2008-07-10

    申请号：US11771681

    申请日：2007-06-29

    申请人： Adib Nasle ,  Ali Nasle

    发明人： Adib Nasle ,  Ali Nasle

    IPC分类号： G06F17/50 ,  G06F17/10

    CPC分类号： G06F17/5009 ,  G05B17/02 ,  G05B23/0254 ,  G06F17/5036 ,  G06F2217/04

    摘要： A system for making real-time predictions about an arc flash event on an electrical system is disclosed. The system includes a data acquisition component, an analytics server and a client terminal. The data acquisition component is communicatively connected to a sensor configured to acquire real-time data output from the electrical system. The analytics server is communicatively connected to the data acquisition component and is comprised of a virtual system modeling engine, an analytics engine and an arc flash simulation engine. The arc flash simulation engine is configured to utilize the virtual system model to forecast an aspect of the arc flash event.

    摘要翻译： 公开了一种用于对电气系统上的电弧闪光事件进行实时预测的系统。 该系统包括数据采集组件，分析服务器和客户终端。 数据采集​​部件通信地连接到被配置为获取从电气系统输出的实时数据的传感器。 分析服务器通信地连接到数据采集组件，并且包括虚拟系统建模引擎，分析引擎和电弧闪光模拟引擎。 电弧闪光模拟引擎被配置为利用虚拟系统模型来预测电弧闪光事件的一个方面。

    SYSTEMS AND METHODS FOR REAL-TIME SYSTEM MONITORING AND PREDICTIVE ANALYSIS
    5.
    发明申请
    SYSTEMS AND METHODS FOR REAL-TIME SYSTEM MONITORING AND PREDICTIVE ANALYSIS 有权
    用于实时系统监测和预测分析的系统和方法

    公开(公告)号：US20070192078A1

    公开(公告)日：2007-08-16

    申请号：US11674994

    申请日：2007-02-14

    申请人： Adib Nasle ,  Ali Nasle ,  Kevin Meagher

    发明人： Adib Nasle ,  Ali Nasle ,  Kevin Meagher

    IPC分类号： G06F17/50

    CPC分类号： G06F17/5009 ,  G05B23/0254 ,  G05B23/0297 ,  G06F2217/04

    摘要： A system for providing real-time modeling of an electrical system under management is disclosed. The system includes a data acquisition component, a virtual system modeling engine, and an analytics engine. The data acquisition component is communicatively connected to a sensor configured to provide real-time measurements of data output from an element of the system. The virtual system modeling engine is configured to generate a predicted data output for the element. The analytics engine is communicatively connected to the data acquisition system and the virtual system modeling engine and is configured to monitor and analyze a difference between the real-time data output and the predicted data output.

    摘要翻译： 公开了一种用于提供正在管理的电气系统的实时建模的系统。 该系统包括数据采集组件，虚拟系统建模引擎和分析引擎。 数据采集​​部件通信地连接到被配置为提供从系统的元件输出的数据的实时测量的传感器。 虚拟系统建模引擎被配置为生成元素的预测数据输出。 分析引擎通信连接到数据采集系统和虚拟系统建模引擎，并配置为监视和分析实时数据输出与预测数据输出之间的差异。

    SYSTEMS AND METHODS FOR REAL-TIME SYSTEM MONITORING AND PREDICTIVE ANALYSIS
    6.
    发明申请
    SYSTEMS AND METHODS FOR REAL-TIME SYSTEM MONITORING AND PREDICTIVE ANALYSIS 有权
    用于实时系统监测和预测分析的系统和方法

    公开(公告)号：US20100262411A1

    公开(公告)日：2010-10-14

    申请号：US12759061

    申请日：2010-04-13

    申请人： Adib Nasle ,  Ali Nasle ,  Kevin Meagher

    发明人： Adib Nasle ,  Ali Nasle ,  Kevin Meagher

    IPC分类号： G06F17/50

    CPC分类号： G06F17/5009 ,  G05B23/0254 ,  G05B23/0297 ,  G06F2217/04

    摘要： A system for providing real-time modeling of an electrical system under management is disclosed. The system includes a data acquisition component, a virtual system modeling engine, and an analytics engine. The data acquisition component is communicatively connected to a sensor configured to provide real-time measurements of data output from an element of the system. The virtual system modeling engine is configured to generate a predicted data output for the element. The analytics engine is communicatively connected to the data acquisition system and the virtual system modeling engine and is configured to monitor and analyze a difference between the real-time data output and the predicted data output.

    摘要翻译： 公开了一种用于提供正在管理的电气系统的实时建模的系统。 该系统包括数据采集组件，虚拟系统建模引擎和分析引擎。 数据采集​​部件通信地连接到被配置为提供从系统的元件输出的数据的实时测量的传感器。 虚拟系统建模引擎被配置为生成元素的预测数据输出。 分析引擎通信连接到数据采集系统和虚拟系统建模引擎，并配置为监视和分析实时数据输出与预测数据输出之间的差异。

    System for comparing real-time data and modeling engine data to predict arc flash events
    7.
    发明授权
    System for comparing real-time data and modeling engine data to predict arc flash events 有权
    用于比较实时数据和建模引擎数据以预测电弧闪光事件的系统

    公开(公告)号：US08688429B2

    公开(公告)日：2014-04-01

    申请号：US12759234

    申请日：2010-04-13

    申请人： Adib Nasle ,  Ali Nasle

    发明人： Adib Nasle ,  Ali Nasle

    IPC分类号： G06G7/56 ,  G06G7/54 ,  G06G7/50 ,  G05D3/12 ,  G05D5/00 ,  H02H3/00

    CPC分类号： G06F17/5009 ,  G05B17/02 ,  G05B23/0254 ,  G06F17/5036 ,  G06F2217/04

    摘要： A system for making real-time predictions about an arc flash event on an electrical system is disclosed. The system includes a data acquisition component, an analytics server and a client terminal. The data acquisition component is communicatively connected to a sensor configured to acquire real-time data output from the electrical system. The analytics server is communicatively connected to the data acquisition component and is comprised of a virtual system modeling engine, an analytics engine and an arc flash simulation engine. The arc flash simulation engine is configured to utilize the virtual system model to forecast an aspect of the arc flash event.

    摘要翻译： 公开了一种用于对电气系统上的电弧闪光事件进行实时预测的系统。 该系统包括数据采集组件，分析服务器和客户终端。 数据采集​​部件通信地连接到被配置为获取从电气系统输出的实时数据的传感器。 分析服务器通信地连接到数据采集组件，并且包括虚拟系统建模引擎，分析引擎和电弧闪光模拟引擎。 电弧闪光模拟引擎被配置为利用虚拟系统模型来预测电弧闪光事件的一个方面。

    Systems and methods for real-time protective device evaluation in an electrical power distribution system
    8.
    发明授权
    Systems and methods for real-time protective device evaluation in an electrical power distribution system 有权
    电力配电系统实时保护装置评估系统及方法

    公开(公告)号：US07844439B2

    公开(公告)日：2010-11-30

    申请号：US11717378

    申请日：2007-03-12

    申请人： Adib Nasle ,  Ali Nasle

    发明人： Adib Nasle ,  Ali Nasle

    IPC分类号： G06F17/60 ,  G06F17/10 ,  G06G7/54

    CPC分类号： G06F17/5009 ,  G06F2217/04 ,  G06F2217/78 ,  Y02E60/76 ,  Y04S40/22

    摘要： A system for providing real-time modeling of protective device in an electrical system under management is disclosed. The system includes a data acquisition component, a virtual system modeling engine, and an analytics engine. The data acquisition component is communicatively connected to a sensor configured to provide real-time measurements of data output from protective devices within the system under management. The virtual system modeling engine is configured to update a virtual mode of the system based on the status of the protective devices and to generate predicted data for the system using the updated virtual model. The analytics engine is communicatively connected to the data acquisition system and the virtual system modeling engine and is configured to monitor and analyze a difference between the real-time data output and the predicted data output. The analytics engine is also configured to determine the bracing capabilities for the protective devices.

    摘要翻译： 公开了一种在管理电气系统中提供保护装置实时建模的系统。 该系统包括数据采集组件，虚拟系统建模引擎和分析引擎。 数据采集​​部件通信地连接到传感器，该传感器被配置为提供对管理系统内的保护装置输出的数据的实时测量。 虚拟系统建模引擎被配置为基于保护设备的状态来更新系统的虚拟模式，并且使用更新的虚拟模型生成用于系统的预测数据。 分析引擎通信连接到数据采集系统和虚拟系统建模引擎，并配置为监视和分析实时数据输出与预测数据输出之间的差异。 分析引擎还被配置为确定保护设备的支撑能力。

    System for comparing real-time data and modeling engine data to predict arc flash events
    9.
    发明授权
    System for comparing real-time data and modeling engine data to predict arc flash events 有权
    用于比较实时数据和建模引擎数据以预测电弧闪光事件的系统

    公开(公告)号：US07729808B2

    公开(公告)日：2010-06-01

    申请号：US11771681

    申请日：2007-06-29

    申请人： Adib Nasle ,  Ali Nasle

    发明人： Adib Nasle ,  Ali Nasle

    IPC分类号： G05B17/00 ,  G06F19/00

    CPC分类号： G06F17/5009 ,  G05B17/02 ,  G05B23/0254 ,  G06F17/5036 ,  G06F2217/04

    摘要： A system for making real-time predictions about an arc flash event on an electrical system is disclosed. The system includes a data acquisition component, an analytics server and a client terminal. The data acquisition component is communicatively connected to a sensor configured to acquire real-time data output from the electrical system. The analytics server is communicatively connected to the data acquisition component and is comprised of a virtual system modeling engine, an analytics engine and an arc flash simulation engine. The arc flash simulation engine is configured to utilize the virtual system model to forecast an aspect of the arc flash event.

    摘要翻译： 公开了一种用于对电气系统上的电弧闪光事件进行实时预测的系统。 该系统包括数据采集组件，分析服务器和客户终端。 数据采集​​部件通信地连接到被配置为获取从电气系统输出的实时数据的传感器。 分析服务器通信地连接到数据采集组件，并且包括虚拟系统建模引擎，分析引擎和电弧闪光模拟引擎。 电弧闪光模拟引擎被配置为利用虚拟系统模型来预测电弧闪光事件的一个方面。

    SYSTEMS AND METHODS FOR REAL-TIME FORECASTING AND PREDICTING OF ELECTRICAL PEAKS AND MANAGING THE ENERGY, HEALTH, RELIABILITY, AND PERFORMANCE OF ELECTRICAL POWER SYSTEMS BASED ON AN ARTIFICIAL ADAPTIVE NEURAL NETWORK
    10.
    发明申请
    SYSTEMS AND METHODS FOR REAL-TIME FORECASTING AND PREDICTING OF ELECTRICAL PEAKS AND MANAGING THE ENERGY, HEALTH, RELIABILITY, AND PERFORMANCE OF ELECTRICAL POWER SYSTEMS BASED ON AN ARTIFICIAL ADAPTIVE NEURAL NETWORK 审中-公开
    基于人工自适应神经网络的电力系统的实时预测和预测系统和方法，管理电力系统的能源，健康，可靠性和性能

    公开(公告)号：US20090113049A1

    公开(公告)日：2009-04-30

    申请号：US12267346

    申请日：2008-11-07

    申请人： Adib Nasle ,  Ali Nasle

    发明人： Adib Nasle ,  Ali Nasle

    IPC分类号： G06F15/173

    CPC分类号： G06N3/08 ,  G05B13/026 ,  G05B13/027 ,  G05B15/02 ,  G05B19/0428 ,  G05B2219/2639 ,  G06F17/5004 ,  G06F17/5009 ,  G06F2217/04 ,  G06F2217/78 ,  G06N3/10 ,  G06N5/048 ,  G06N7/06

    摘要： A system for utilizing a neural network to make real-time predictions about the health, reliability, and performance of a monitored system are disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a virtual system modeling engine, an analytics engine, an adaptive prediction engine. The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The adaptive prediction engine can be configured to forecast an aspect of the monitored system using a neural network algorithm. The adaptive prediction engine is further configured to process the real-time data output and automatically optimize the neural network algorithm by minimizing a measure of error between the real-time data output and an estimated data output predicted by the neural network algorithm.

    摘要翻译： 公开了一种利用神经网络对被监视系统的健康状况，可靠性和性能进行实时预测的系统。 该系统包括数据采集组件，功率分析服务器和客户终端。 数据采集​​组件获取从电气系统输出的实时数据。 功率分析服务器由虚拟系统建模引擎，分析引擎，自适应预测引擎组成。 虚拟系统建模引擎为电气系统生成预测数据输出。 分析引擎监控电气系统的实时数据输出和预测数据输出。 自适应预测引擎可以被配置为使用神经网络算法来预测被监视系统的一个方面。 自适应预测引擎还被配置为处理实时数据输出并通过最小化实时数据输出与由神经网络算法预测的估计数据输出之间的误差的度量来自动优化神经网络算法。