公开(公告)号：US20070220340A1

公开(公告)日：2007-09-20

申请号：US11359672

申请日：2006-02-22

申请人： Keith Whisnant ,  Ramakrishna Dhanekula ,  Kenny Gross

发明人： Keith Whisnant ,  Ramakrishna Dhanekula ,  Kenny Gross

IPC分类号： G06F11/00

CPC分类号： G06F11/0751 ,  G06F11/0748

摘要： One embodiment of the present invention provides a system that optimizes a regression model which predicts a signal as a function of a set of available signals. During operation, the system receives training data for the set of available signals from a computer system during normal fault-free operation. The system also receives an objective function which can be used to evaluate how well a regression model predicts the signal. Next, the system initializes a pool of candidate regression models which includes at least two candidate regression models, wherein each candidate regression model in the pool includes a subset of the set of available signals. The system then optimizes the regression model by iteratively: (1) selecting two regression models U and V from the pool of candidate regression models, wherein regression models U and V best predict the signal based on the training data and the objective function; (2) using a genetic technique to create an offspring regression model W from U and V by combining parts of the two regression models U and V; and (3) adding W to the pool of candidate regression models.

摘要翻译： 本发明的一个实施例提供了一种优化回归模型的系统，该回归模型预测作为一组可用信号的函数的信号。 在运行期间，在正常无故障运行期间，系统接收来自计算机系统的一组可用信号的训练数据。 该系统还接收到一个目标函数，可用于评估回归模型预测信号的良好程度。 接下来，系统初始化包括至少两个候选回归模型的候选回归模型池，其中池中的每个候选回归模型包括该组可用信号的子集。 该系统通过迭代优化回归模型：（1）从候选回归模型池中选择两个回归模型U和V，其中回归模型U和V根据训练数据和目标函数最佳地预测信号; （2）使用遗传技术通过组合两个回归模型U和V的部分来从U和V创建后代回归模型W; 和（3）在候选回归模型池中加入W。

公开(公告)号：US20070226554A1

公开(公告)日：2007-09-27

申请号：US11353559

申请日：2006-02-13

申请人： Jon Greaves ,  Keith Whisnant ,  Kenny Gross

发明人： Jon Greaves ,  Keith Whisnant ,  Kenny Gross

IPC分类号： G01R31/28

CPC分类号： G06F11/3452 ,  G06F11/3003 ,  G06F11/3058 ,  G06F11/3476 ,  G06K9/00536 ,  G06K9/6284

摘要： In one embodiment, a method and apparatus for high-efficiency time-series archiving for computer server telemetry signals is disclosed. The method includes selecting one or more telemetry signals of a plurality of telemetry signals by a sequential probability ratio test (SPRT) algorithm, the SPRT algorithm identifying the one or more telemetry signals as not consistent with normal behavior of the plurality of telemetry signals, injecting synthetic samples around the selected one or more telemetry signals to create a continuous time series telemetry sample, and analyzing the continuous time series telemetry sample to identify leading indicators of faults in the target. Other embodiments are also disclosed.

摘要翻译： 在一个实施例中，公开了一种用于计算机服务器遥测信号的高效率时间序列归档的方法和装置。 该方法包括通过顺序概率比测试（SPRT）算法来选择多个遥测信号中的一个或多个遥测信号，SPRT算法识别一个或多个遥测信号与多个遥测信号的正常行为不一致，注入 围绕选定的一个或多个遥测信号进行合成样品，以创建连续的时间序列遥测样品，并分析连续时间序列遥测样品，以识别目标中故障的主要指标。 还公开了其他实施例。

公开(公告)号：US20070055476A1

公开(公告)日：2007-03-08

申请号：US11593891

申请日：2006-11-06

申请人： Keith Whisnant ,  Kenny Gross

发明人： Keith Whisnant ,  Kenny Gross

IPC分类号： G06F17/18

CPC分类号： G05B9/02 ,  G05B23/0221

摘要： A system that uses statistical techniques to selectively transmit data from a sensor. During operation, the system receives a sequence of quantized values from the sensor. The system then determines whether a distribution for the sequence of quantized values indicates that the sensor is observing a real event. If so, the system transmits sensor data for the real event to a receiver.

摘要翻译： 一种使用统计技术从传感器选择性传输数据的系统。 在操作期间，系统从传感器接收一系列量化值。 然后，系统确定量化值序列的分布是否指示传感器正在观察真实事件。 如果是这样，系统将传感器数据发送给接收机。

公开(公告)号：US20070225926A1

公开(公告)日：2007-09-27

申请号：US11389578

申请日：2006-03-23

申请人： Kenny Gross ,  Keith Whisnant ,  Gregory Cumberford

发明人： Kenny Gross ,  Keith Whisnant ,  Gregory Cumberford

IPC分类号： G06F19/00 ,  G06F17/40

CPC分类号： G01R31/31708

摘要： One embodiment of the present invention provides a system that determines a severity of degradation in a signal. During operation, the system receives signal values for the signal, wherein the signal values are received with a constant sampling interval. Next, for each received signal value, the system applies a Sequential Probability Ratio Test (SPRT) to the signal value. If the SPRT generates an alarm on the signal value, the system increments a cumulative counter which records a running total number of the SPRT alarms. Upon receiving each signal value, the system updates a cumulative function using a value in the cumulative counter. Next, the system determines the severity of degradation in the signal from the shape of the cumulative function.

摘要翻译： 本发明的一个实施例提供一种确定信号劣化的严重性的系统。 在操作期间，系统接收信号的信号值，其中以恒定采样间隔接收信号值。 接下来，对于每个接收的信号值，系统对信号值应用顺序概率比测试（SPRT）。 如果SPRT在信号值上产生警报，系统会增加累积计数器，该计数器记录SPRT报警的运行总数。 在收到每个信号值后，系统使用累积计数器中的值更新累积函数。 接下来，系统根据累积函数的形状确定信号的劣化的严重性。

公开(公告)号：US20070183305A1

公开(公告)日：2007-08-09

申请号：US11348655

申请日：2006-02-06

申请人： Keith Whisnant ,  Kenny Gross

发明人： Keith Whisnant ,  Kenny Gross

IPC分类号： H04J11/00

CPC分类号： G06F11/0751

摘要： One embodiment of the present invention provides a system that facilitates high-sensitivity detection of an anomaly in a signal, wherein the signal is sampled to produce a set of possible quantized signal values. During operation, the system constructs a “reference distribution” for an “occurrence frequency” of a specific quantized signal value from the set of possible quantized signal values. The system then obtains a “deviant distribution” associated with the reference distribution, wherein the deviant distribution has an offset from the reference distribution to indicate an anomaly in the signal. Next, in response to a new occurrence of the specific quantized signal value, the system updates a mean and a variance of the reference distribution for the specific quantized signal value. The system also adjusts the deviant distribution for the specific quantized signal value based on the updated mean and the updated variance of the reference distribution for the specific quantized signal value. Adjusting the deviant distribution in this way reduces the offset between the reference distribution and the deviant distribution, thereby increasing system sensitivity while subsequently detecting anomalies in the signal.

摘要翻译： 本发明的一个实施例提供了一种促进对信号中的异常进行高灵敏度检测的系统，其中信号被采样以产生一组可能的量化信号值。 在操作期间，系统从可能的量化信号值的集合中构建特定量化信号值的“出现频率”的“参考分布”。 然后，系统获得与参考分布相关联的“偏差分布”，其中偏差分布具有与参考分布的偏移以指示信号中的异常。 接下来，响应于特定量化信号值的新出现，系统更新特定量化信号值的参考分布的均值和方差。 该系统还基于针对特定量化信号值的参考分布的更新的平均值和更新的方差来调整特定量化信号值的偏差分布。 以这种方式调整偏差分布可减少参考分布与偏差分布之间的偏移，从而提高系统灵敏度，同时检测信号中的异常。

公开(公告)号：US08156457B2

公开(公告)日：2012-04-10

申请号：US12586724

申请日：2009-09-24

申请人： Claudio Basile ,  Giacinto Paolo Saggese ,  Keith Whisnant

发明人： Claudio Basile ,  Giacinto Paolo Saggese ,  Keith Whisnant

IPC分类号： G06F17/50

CPC分类号： G06F17/5022 ,  G06F17/5045

摘要： Simulating hardware includes generating a data flow representation of the hardware, based on a hardware description language (HDL) description. The data flow representation including compatibility information that preserves behavioral and synthesizable characteristics of the HDL description. Simulating hardware further includes generating code from the data flow representation, and executing the code concurrently.

摘要翻译： 模拟硬件包括基于硬件描述语言（HDL）描述来生成硬件的数据流表示。 数据流表示包括保留HDL描述的行为和可综合特性的兼容性信息。 模拟硬件还包括从数据流表示生成代码，并且同时执行代码。

公开(公告)号：US20110072403A1

公开(公告)日：2011-03-24

申请号：US12586724

申请日：2009-09-24

申请人： Claudio Basile ,  Giacinto Paolo Saggese ,  Keith Whisnant

发明人： Claudio Basile ,  Giacinto Paolo Saggese ,  Keith Whisnant

IPC分类号： G06F17/50

CPC分类号： G06F17/5022 ,  G06F17/5045

摘要： Simulating hardware includes generating a data flow representation of the hardware, based on a hardware description language (HDL) description. The data flow representation including compatibility information that preserves behavioral and synthesizable characteristics of the HDL description. Simulating hardware further includes generating code from the data flow representation, and executing the code concurrently.

摘要翻译： 模拟硬件包括基于硬件描述语言（HDL）描述来生成硬件的数据流表示。 数据流表示包括保留HDL描述的行为和可综合特性的兼容性信息。 模拟硬件还包括从数据流表示生成代码，并且同时执行代码。

公开(公告)号：US08738350B2

公开(公告)日：2014-05-27

申请号：US13031139

申请日：2011-02-18

申请人： Keith Whisnant ,  Claudio Basile ,  Giacinto Paolo Saggese

发明人： Keith Whisnant ,  Claudio Basile ,  Giacinto Paolo Saggese

IPC分类号： G06F17/50 ,  G06G7/62

CPC分类号： G06F17/5022 ,  G06F2217/86

摘要： A method of simulating a design described in HDL is provided. In this method, modules of the design can be partitioned into first modules for simulation by a serial simulation engine and second modules for simulation by a concurrent simulation engine. The first and second modules can be prioritized for simulation based on classes of events consistent with an execution model of the HDL. Simulations of the serial and concurrent simulation engines can be synchronized for each class of events. Synchronizing can include transferring updated interface variable values, which are shared by the second modules and at least a subset of the first modules, between the serial simulation engine and the concurrent simulation engine. This transferring can include translating representations of the updated interface variable values.

摘要翻译： 提供了一种模拟HDL中描述的设计的方法。 在这种方法中，设计模块可以划分为第一个模块，用于模拟串行模拟引擎和第二个模块，用于由并发仿真引擎进行仿真。 基于与HDL的执行模型一致的事件类别，第一和第二模块可以被优先进行仿真。 串行和并发仿真引擎的仿真可以针对每一类事件进行同步。 同步可以包括在串行仿真引擎和并发仿真引擎之间传送由第二模块和第一模块的至少一个子集共享的更新的接口变量值。 该传送可以包括翻译更新的接口变量值的表示。

公开(公告)号：US20110218792A1

公开(公告)日：2011-09-08

申请号：US13031139

申请日：2011-02-18

申请人： Keith Whisnant ,  Claudio Basile ,  Giacinto Paolo Saggese

发明人： Keith Whisnant ,  Claudio Basile ,  Giacinto Paolo Saggese

IPC分类号： G06F17/50

CPC分类号： G06F17/5022 ,  G06F2217/86

摘要： A method of simulating a design described in HDL is provided. In this method, modules of the design can be partitioned into first modules for simulation by a serial simulation engine and second modules for simulation by a concurrent simulation engine. The first and second modules can be prioritized for simulation based on classes of events consistent with an execution model of the HDL. Simulations of the serial and concurrent simulation engines can be synchronized for each class of events. Synchronizing can include transferring updated interface variable values, which are shared by the second modules and at least a subset of the first modules, between the serial simulation engine and the concurrent simulation engine. This transferring can include translating representations of the updated interface variable values.

摘要翻译： 提供了一种模拟HDL中描述的设计的方法。 在这种方法中，设计模块可以划分为第一个模块，用于模拟串行模拟引擎和第二个模块，用于由并发仿真引擎进行仿真。 基于与HDL的执行模型一致的事件类别，第一和第二模块可以被优先进行仿真。 串行和并发仿真引擎的仿真可以针对每一类事件进行同步。 同步可以包括在串行仿真引擎和并发仿真引擎之间传送由第二模块和第一模块的至少一个子集共享的更新的接口变量值。 该传送可以包括翻译更新的接口变量值的表示。

公开(公告)号：US07573952B1

公开(公告)日：2009-08-11

申请号：US11210570

申请日：2005-08-23

申请人： Sajjit Thampy ,  Kenny C. Gross ,  Keith Whisnant

发明人： Sajjit Thampy ,  Kenny C. Gross ,  Keith Whisnant

IPC分类号： H04L27/00

CPC分类号： G06F17/18

摘要： One embodiment of the present invention provides a system that resamples a quantized signal. During operation, the system receives the quantized signal. Next, the system smoothes and resamples the quantized signal to produce a resampled signal. The system then quantizes the resampled signal to produce a quantized resampled signal. For a given time point, the system determines a probability distribution for the resampled signal across quantization levels at the given time point by using information about the values of the resampled signal at neighboring time points. Note that the probability distribution specifies the probability that the resampled signal would be sampled at specific quantization levels. The system then uses the probability distribution to probabilistically select a quantization level for the resampled signal for the given time point.

摘要翻译： 本发明的一个实施例提供一种重新采样量化信号的系统。 在运行期间，系统接收量化信号。 接下来，系统平滑和重新采样量化信号以产生重采样信号。 然后，系统对重采样信号进行量化以产生量化的重采样信号。 对于给定的时间点，系统通过使用关于在相邻时间点的重采样信号的值的信息来确定在给定时间点处跨量化电平的重采样信号的概率分布。 注意，概率分布规定了在特定量化级别对采样信号进行采样的概率。 系统然后使用概率分布概率地选择给定时间点的重采样信号的量化电平。