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    Intelligent, self-propelled automatic grid crawler high impedance fault detector and high impedance fault detecting system
    3.
    发明授权
    Intelligent, self-propelled automatic grid crawler high impedance fault detector and high impedance fault detecting system 失效
    智能自走式自动电网履带式高阻抗故障检测器和高阻抗故障检测系统

    公开(公告)号：US07496459B2

    公开(公告)日：2009-02-24

    申请号：US11695700

    申请日：2007-04-03

    申请人： Sarah C. McAllister ,  Thomas J. Nowicki ,  Grzegorz M. Swirszcz

    发明人： Sarah C. McAllister ,  Thomas J. Nowicki ,  Grzegorz M. Swirszcz

    IPC分类号： G01R31/00 ,  G06F19/00

    CPC分类号： H02G1/04

    摘要： A self-propelled, automated, autonomic grid crawler which, when attached to a wire, moves along the wire to sense conditions of the wire. The grid crawler includes a central processing unit (CPU), working memory, such as random access memory (RAM), persistent money, such as read only memory (ROM) and hard drive (HD), sensor electronics, a wireless interface, a location device, such as a global positioning satellite (GPS) receiver, motive power system, and a battery. The sensor electronics serves to sense various types of faults. The CPU analyzes the data from the sensor electronics using pre-analysis and pre-qualification algorithms, which are stored in the HD. Depending on the results of the analysis, the CPU transmits information to the central station, either directly or indirectly via mounted docking devices, that potentially indicates a fault, including the location of the fault as determined by the GPS receiver. The pre-processing and pre-qualifying of the data at the autonomic grid crawler limits the amount of data that needs to be transmitted to the central station, thereby saving battery power.

    摘要翻译： 自动，自动化的自动电网爬行器，当附接到电线时，沿着电线移动以感测电线的状况。 电网爬行器包括中央处理单元（CPU），诸如随机存取存储器（RAM）的工作存储器，诸如只读存储器（ROM）和硬盘驱动器（HD）等的持续存款，传感器电子设备，无线接口， 定位设备，例如全球定位卫星（GPS）接收机，动力系统和电池。 传感器电子设备用于检测各种类型的故障。 CPU使用预分析和预认证算法分析来自传感器电子设备的数据，这些算法存储在HD中。 根据分析结果，CPU可以通过安装的对接设备直接或间接地向中心站发送潜在地指示故障的信息，包括由GPS接收机确定的故障位置。 自动电网爬行器的数据预处理和预先资格限制了需要传输到中心站的数据量，从而节省了电池电量。

    OZONE AND OTHER MOLECULES SENSORS FOR ELECTRIC FAULT DETECTION
    4.
    发明申请
    OZONE AND OTHER MOLECULES SENSORS FOR ELECTRIC FAULT DETECTION 审中-公开
    臭氧和其他分子传感器进行电气故障检测

    公开(公告)号：US20080167754A1

    公开(公告)日：2008-07-10

    申请号：US11620083

    申请日：2007-01-05

    申请人： Sarah C. McAllister ,  Tomasz J. Nowicki ,  Grzegorz M. Swirszoz ,  Jeffrey D. Taft

    发明人： Sarah C. McAllister ,  Tomasz J. Nowicki ,  Grzegorz M. Swirszoz ,  Jeffrey D. Taft

    IPC分类号： H02H7/26 ,  G01R31/08 ,  H02J13/00

    CPC分类号： H02H1/0023 ,  G01N33/004 ,  G01R31/1245 ,  Y02A50/243 ,  Y02A50/244 ,  Y02A50/248

    摘要： High impedance fault detection uses, in addition to sensors that measure purely electrical (i.e., current and voltage), molecule sensors are provided in an electrical grid. These molecule sensors are sensitive to the surrounding environment and may detect one or more of a variety of molecules, such as ozone (O3), combustion gases (carbon monoxide, carbon dioxide and oxygen levels), and odor molecules (ammonia, sulfur dioxide, burned hair/feather, burned proteins, and the like), depending on the type of environmental phenomena that may be expected in a particular location of the sensor(s). These sensors, in combination with conventional electrical sensors, provide a more complete set of data for evaluation and localization of a potential high impedance electrical fault. The use of such sensors is especially useful in confined areas like underground parking lots, substations, and the like.

    摘要翻译： 高阻抗故障检测除了测量纯电气（即电流和电压）的传感器外，还使用电网提供分子传感器。 这些分子传感器对周围环境敏感，并且可以检测多种分子中的一种或多种，​​例如臭氧（O 3 3），燃烧气体（一氧化碳，二氧化碳和氧气水平），以及 取决于传感器的特定位置可能预期的环境现象的类型，气味分子（氨，二氧化硫，燃烧的毛发/羽毛，燃烧的蛋白质等）。 这些传感器与常规电气传感器相结合，可提供更完整的数据集，用于评估和定位潜在的高阻抗电气故障。 这种传感器的使用在诸如地下停车场，变电站等的限制区域中是特别有用的。

    INTELLIGENT, SELF-PROPELLED AUTOMATIC GRID CRAWLER HIGH IMPEDANCE FAULT DETECTOR AND HIGH IMPEDANCE FAULT DETECTING SYSTEM
    5.
    发明申请
    INTELLIGENT, SELF-PROPELLED AUTOMATIC GRID CRAWLER HIGH IMPEDANCE FAULT DETECTOR AND HIGH IMPEDANCE FAULT DETECTING SYSTEM 失效
    智能自动自动检测器高阻抗故障检测器和高阻抗故障检测系统

    公开(公告)号：US20080249723A1

    公开(公告)日：2008-10-09

    申请号：US11695700

    申请日：2007-04-03

    申请人： Sarah C. McAllister ,  Tomasz J. Nowicki ,  Grzegorz M. Swirszcz

    发明人： Sarah C. McAllister ,  Tomasz J. Nowicki ,  Grzegorz M. Swirszcz

    IPC分类号： G01R31/08

    CPC分类号： H02G1/04

    摘要： A self-propelled, automated, autonomic grid crawler which, when attached to a wire, moves along the wire to sense conditions of the wire. The grid crawler includes a central processing unit (CPU), working memory, such as random access memory (RAM), persistent money, such as read only memory (ROM) and hard drive (HD), sensor electronics, a wireless interface, a location device, such as a global positioning satellite (GPS) receiver, motive power system, and a battery. The sensor electronics serves to sense various types of faults. The CPU analyzes the data from the sensor electronics using pre-analysis and pre-qualification algorithms, which are stored in the HD. Depending on the results of the analysis, the CPU transmits information to the central station, either directly or indirectly via mounted docking devices, that potentially indicates a fault including the location of the fault as determined by the GPS receiver. The pre-processing and pre-qualifying of the data at the autonomic grid crawler limits the amount of data that needs to be transmitted to the central station, thereby saving battery power.

    摘要翻译： 自动，自动化的自动电网爬行器，当附接到电线时，沿着电线移动以感测电线的状况。 电网爬行器包括中央处理单元（CPU），诸如随机存取存储器（RAM）的工作存储器，诸如只读存储器（ROM）和硬盘驱动器（HD）等的持续资金，传感器电子设备，无线接口， 定位设备，例如全球定位卫星（GPS）接收机，动力系统和电池。 传感器电子设备用于检测各种类型的故障。 CPU使用预分析和预认证算法分析来自传感器电子设备的数据，这些算法存储在HD中。 根据分析结果，CPU通过安装的对接设备直接或间接地向中心站发送信息，潜在地指示包括由GPS接收机确定的故障位置的故障。 自动电网爬行器的数据预处理和预先资格限制了需要传输到中心站的数据量，从而节省了电池电量。

    Application of Speech and Speaker Recognition Tools to Fault Detection in Electrical Circuits
    6.
    发明申请
    Application of Speech and Speaker Recognition Tools to Fault Detection in Electrical Circuits 失效
    语音和扬声器识别工具在电路故障检测中的应用

    公开(公告)号：US20080167877A1

    公开(公告)日：2008-07-10

    申请号：US11620173

    申请日：2007-01-05

    申请人： Sarah C. McAllister ,  Tomasz J. Nowicki ,  Jason W. Pelecanos ,  Grzegorz M. Swirszcz

    发明人： Sarah C. McAllister ,  Tomasz J. Nowicki ,  Jason W. Pelecanos ,  Grzegorz M. Swirszcz

    IPC分类号： G10L21/00

    CPC分类号： G10L15/26

    摘要： A method and apparatus detect and localize electric faults in electrical power grids and circuit. High impedance faults are detected by analyzing data from remote sensor units deployed over the network using the algorithms of speech and speaker analysis software. This is accomplished by converting the voltage and/or current waveform readouts from the sensors into a digital form which is then transmitted to a computer located either near the sensors or at an operations center. The digitized data is converted by a dedicated software or software/hardware interface to a format accepted by a reliable and stable software solution, such as speech or speaker recognition software. The speech or speaker recognition software must be “trained” to recognize various signal patterns that either indicate or not the occurrence of a fault. The readout of the speech or speaker recognition software, if indicating a fault, is transmitted to a central processor and displayed to provide information on the most likely type of fault. Automatic or human decision is then implemented based on the generated information.

    摘要翻译： 一种方法和装置，检测和定位电力电网和电路中的电气故障。 通过使用语音和扬声器分析软件的算法分析通过网络部署的远程传感器单元的数据来检测高阻抗故障。 这是通过将来自传感器的电压和/或电流波形转换成数字形式来完成的，然后将其传输到位于传感器附近或操作中心的计算机。 数字化数据由专用软件或软件/硬件接口转换为由可靠和稳定的软件解决方案接受的格式，如语音或扬声器识别软件。 语音或扬声器识别软件必须经过“训练”以识别指示或不发生故障的各种信号模式。 语音或扬声器识别软件的读出（如果指示故障）被发送到中央处理器并显示以提供关于最可能类型的故障的信息。 然后基于生成的信息实现自动或人为决定。

    Application of speech and speaker recognition tools to fault detection in electrical circuits
    7.
    发明授权
    Application of speech and speaker recognition tools to fault detection in electrical circuits 失效
    语音和扬声器识别工具在电路故障检测中的应用

    公开(公告)号：US08041571B2

    公开(公告)日：2011-10-18

    申请号：US11620173

    申请日：2007-01-05

    申请人： Sarah C. McAllister ,  Tomasz J. Nowicki ,  Jason W. Pelecanos ,  Grzegorz M. Swirszcz

    发明人： Sarah C. McAllister ,  Tomasz J. Nowicki ,  Jason W. Pelecanos ,  Grzegorz M. Swirszcz

    IPC分类号： G10L11/00 ,  G10L15/16 ,  H02H3/00

    CPC分类号： G10L15/26

    摘要： A method and apparatus detect and localize electric faults in electrical power grids and circuit. High impedance faults are detected by analyzing data from remote sensor units deployed over the network using the algorithms of speech and speaker analysis software. This is accomplished by converting the voltage and/or current waveform readouts from the sensors into a digital form which is then transmitted to a computer located either near the sensors or at an operations center. The digitized data is converted by a dedicated software or software/hardware interface to a format accepted by a reliable and stable software solution, such as speech or speaker recognition software. The speech or speaker recognition software must be “trained” to recognize various signal patterns that either indicate or not the occurrence of a fault. The readout of the speech or speaker recognition software, if indicating a fault, is transmitted to a central processor and displayed to provide information on the most likely type of fault. Automatic or human decision is then implemented based on the generated information.

    摘要翻译： 一种方法和装置，检测和定位电力电网和电路中的电气故障。 通过使用语音和扬声器分析软件的算法分析通过网络部署的远程传感器单元的数据来检测高阻抗故障。 这是通过将来自传感器的电压和/或电流波形转换成数字形式来完成的，然后将其传输到位于传感器附近或操作中心的计算机。 数字化数据由专用软件或软件/硬件接口转换为由可靠和稳定的软件解决方案接受的格式，如语音或扬声器识别软件。 语音或扬声器识别软件必须经过“训练”以识别指示或不发生故障的各种信号模式。 语音或扬声器识别软件的读出（如果指示故障）被发送到中央处理器并显示以提供关于最可能类型的故障的信息。 然后基于生成的信息实现自动或人为决定。