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1.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
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。
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2.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
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。
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3.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
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。
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4.发明申请METHOD FOR DETECTING HIGH IMPEDANCE FAULTS BY ANALYZING A LOCAL DEVIATION FROM A REGULARIZATION 失效通过从定期分析本地偏差来检测高阻抗性故障的方法公开(公告)号：US20090204347A1
公开(公告)日：2009-08-13
申请号：US12028466
申请日：2008-02-08
CPC分类号： G01R31/024
摘要： A method for detecting high impedance faults, including: receiving an input waveform from a circuit; computing a root mean square of the input waveform; fitting a regression line to the root mean squares; computing a deviation between the regression line and the root mean squares; determining whether the deviations are above a threshold; and outputting a value indicating that a fault has occurred in the circuit when the deviation is above the threshold and outputting a value indicating that a fault did not occur in the circuit when the deviation is below the threshold.
摘要翻译： 一种用于检测高阻抗故障的方法，包括：从电路接收输入波形; 计算输入波形的均方根; 拟合回归线到均方根; 计算回归线与均方根的偏差; 确定偏差是否高于阈值; 并且当偏差高于阈值时输出指示电路中发生故障的值，并且当偏差低于阈值时输出指示电路中没有发生故障的值。
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5.发明授权Method for detecting high impedance faults by analyzing a local deviation from a regularization 失效通过分析局部偏离正则化来检测高阻抗故障的方法公开(公告)号：US08355882B2
公开(公告)日：2013-01-15
申请号：US12028466
申请日：2008-02-08
IPC分类号： G01R31/00
CPC分类号： G01R31/024
摘要： A method for detecting high impedance faults, including: receiving an input waveform from a circuit; computing a root mean square of the input waveform; fitting a regression line to the root mean squares; computing a deviation between the regression line and the root mean squares; determining whether the deviations are above a threshold; and outputting a value indicating that a fault has occurred in the circuit when the deviation is above the threshold and outputting a value indicating that a fault did not occur in the circuit when the deviation is below the threshold.
摘要翻译： 一种用于检测高阻抗故障的方法，包括：从电路接收输入波形; 计算输入波形的均方根; 拟合回归线到均方根; 计算回归线与均方根的偏差; 确定偏差是否高于阈值; 并且当偏差高于阈值时输出指示电路中发生故障的值，并且当偏差低于阈值时输出指示电路中没有发生故障的值。
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公开(公告)号：US20110074436A1
公开(公告)日：2011-03-31
申请号：US12569294
申请日：2009-09-29
CPC分类号： G01R31/085 , G01R31/086 , G01R31/088 , Y04S10/522
摘要： 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.
摘要翻译： 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。
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公开(公告)号：US08680872B2
公开(公告)日：2014-03-25
申请号：US12569294
申请日：2009-09-29
IPC分类号： G01R31/02
CPC分类号： G01R31/085 , G01R31/086 , G01R31/088 , Y04S10/522
摘要： 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.
摘要翻译： 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。
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公开(公告)号：US20080167754A1
公开(公告)日：2008-07-10
申请号：US11620083
申请日：2007-01-05
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。
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公开(公告)号：US08718809B2
公开(公告)日：2014-05-06
申请号：US12778457
申请日：2010-05-12
IPC分类号： G06F19/00
CPC分类号： G06N99/005 , G06F2217/10
摘要： A system for determining a group of semiconductor manufacturing process steps with a similar influence on individual semiconductor products. The system generates a first table including time stamps for the individual semiconductor products. The system creates a second table including Q-times based on the first table. The Q-times refers to time differences between every pair of the time stamps. The system forms a dependency table by grouping the Q-times with similar dependencies together. The system identifies groups of the similar dependencies. The system extracts semiconductor process steps belonging to the groups.
摘要翻译： 一种用于确定对各个半导体产品具有相似影响的一组半导体制造工艺步骤的系统。 该系统产生包括各个半导体产品的时间戳的第一表。 系统创建第二个表，其中包括基于第一个表的Q次。 Q时间是指每对时间戳之间的时差。 系统通过将Q次与相似的依赖关系分组在一起来形成依赖关系表。 系统识别类似依赖关系的组。 系统提取属于这些组的半导体工艺步骤。
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10.发明授权Enhancing investigation of variability by inclusion of similar objects with known differences to the original ones 有权通过将具有已知差异的相似对象与原始对象相结合，来增强对变异性的调查公开(公告)号：US08315729B2
公开(公告)日：2012-11-20
申请号：US12775107
申请日：2010-05-06
CPC分类号： G06F17/50 , G01R31/2894 , H01L22/14 , H01L22/20 , H01L2924/0002 , H01L2924/00
摘要： A system, method and/or computer program product for analyzing a functionality of at least two manufactured products obtain a first characteristic of a first manufactured product. The system acquires a second characteristic of a second manufactured product. The system identifies a common feature between the first characteristic and the second characteristic. The system identifies a distinguishable feature between the first characteristic and the second characteristic. The system determines a cause of a deviation of a functionality in the first manufactured product or the second manufactured product or both manufactured products based on the identified common feature or the identified distinguishable feature or both features.
摘要翻译： 用于分析至少两个制造产品的功能的系统，方法和/或计算机程序产品获得第一制成品的第一特征。 该系统获得第二制造产品的第二特性。 该系统识别第一特征和第二特性之间的共同特征。 该系统识别第一特征和第二特性之间的区别特征。 该系统基于所识别的共同特征或所识别的可区分特征或两个特征来确定第一制造产品或第二制造产品或两个制造产品中的功能性偏差的原因。
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