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    • 21. 发明授权
    • Identification of false positives in high impedance fault detection
    • 识别高阻抗故障检测中的假阳性
    • US08680872B2
    • 2014-03-25
    • US12569294
    • 2009-09-29
    • Tomasz J. NowickiGrzegorz M. Swirszcz
    • Tomasz J. NowickiGrzegorz M. Swirszcz
    • G01R31/02
    • G01R31/085G01R31/086G01R31/088Y04S10/522
    • A method, system and computer program product are disclosed for identifying false positive indications of high impedance faults in an AC electric power transmission and distribution network. In one embodiment, the method comprises using a procedure to monitor a phase conductor of the network for faults, said procedure generating a fault signal indicating a specified fault in the conductor. In this embodiment, the voltage and current waveform of the electric power conducted through the conductor are monitored. When a phase shift in said waveform is detected over a defined period of time, and said detected phase shift meets one or more given criteria, a correction signal is generated indicating that said fault signal is a false indication of the specified fault. The given criteria may include, for example, that the phase shift is more than a threshold value for a specified period of time.
    • 公开了一种用于识别交流电力输配电网络中高阻抗故障的假阳性指示的方法,系统和计算机程序产品。 在一个实施例中,该方法包括使用用于监视网络的相导体以用于故障的过程,所述过程产生指示导体中指定故障的故障信号。 在本实施例中,监视通过导体传导的电力的电压和电流波形。 当在规定的时间段内检测到所述波形中的相移,并且所述检测到的相移符合一个或多个给定标准时,产生指示所述故障信号是指定故障的错误指示的校正信号。 给定的标准可以包括例如相移在特定时间段内大于阈值。
    • 23. 发明申请
    • FOREIGN MATERIAL CONTAMINATION DETECTION
    • 外来物质污染检测
    • US20110284029A1
    • 2011-11-24
    • US12783702
    • 2010-05-20
    • Robert J. BasemanTomasz J. Nowicki
    • Robert J. BasemanTomasz J. Nowicki
    • B08B7/04
    • B08B13/00H01L21/67288Y10T436/11
    • There are provided a system, method and computer program product for detecting foreign materials in a semiconductor manufacturing process. The manufacturing process uses a plurality of semiconductor manufacturing tools. The system categorizes at least one monitoring wafer according to one or more categories. The system supplies the categorized monitoring wafer to a semiconductor manufacturing tool. The system observes a level of contamination on the categorized monitoring wafer. The system compares the level of contamination to a threshold. The system cleans the tool in a response to determining that the level of contamination is larger than the threshold. The system determines which category of the wafer leaves a highest level of contamination on the tool. The system identifies a root cause of the highest level of contamination on the tool.
    • 提供了一种用于在半导体制造工艺中检测异物的系统,方法和计算机程序产品。 制造工艺使用多个半导体制造工具。 该系统根据一个或多个类别对至少一个监视晶片进行分类。 该系统将分类的监控晶片提供给半导体制造工具。 该系统观察到分类监控晶片的污染程度。 系统将污染水平与阈值进行比较。 系统在响应中清洁工具以确定污染物的水平大于阈值。 该系统确定哪个类别的晶片在工具上留下最高的污染水平。 系统识别工具上最高污染水平的根本原因。
    • 24. 发明授权
    • Application of speech and speaker recognition tools to fault detection in electrical circuits
    • 语音和扬声器识别工具在电路故障检测中的应用
    • US08041571B2
    • 2011-10-18
    • US11620173
    • 2007-01-05
    • Sarah C. McAllisterTomasz J. NowickiJason W. PelecanosGrzegorz M. Swirszcz
    • Sarah C. McAllisterTomasz J. NowickiJason W. PelecanosGrzegorz M. Swirszcz
    • G10L11/00G10L15/16H02H3/00
    • G10L15/26
    • 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.
    • 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。