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    • 1. 发明申请
    • Image deblurring with a systolic array processor
    • 图像去毛刺与收缩阵列处理器
    • US20050147313A1
    • 2005-07-07
    • US10749694
    • 2003-12-29
    • Dimitry Gorinevsky
    • Dimitry Gorinevsky
    • G06K9/40G06T5/00G06T5/20
    • G06T5/003G06T5/20
    • A method and device for deblurring an image having pixels. A blurred image is downloaded into a systolic array processor having an array of processing logic blocks such that each pixel arrives in a respective processing logic block of one pixel or small groups of pixels. Data is sequentially exchanged between processing logic blocks by interconnecting each processing logic block with a predefined number of adjacent processing logic blocks, followed by uploading the deblurred image. The processing logic blocks provide an iterative update of the blurred image by (i) providing feedback of the blurred image prediction error using the deblurred image and (ii) providing feedback of the past deblurred image estimate. The iterative update is implemented in the processing logic blocks by u(n+1)=u(n)−K*(H*u(n)−yb)−S*u(n).
    • 一种用于去除具有像素的图像的方法和装置。 将模糊图像下载到具有处理逻辑块阵列的脉搏阵列处理器中,使得每个像素到达一个像素或小组像素的相应处理逻辑块。 通过将每个处理逻辑块与预定数量的相邻处理逻辑块相互连接,随后上载去模糊图像,在处理逻辑块之间顺序交换数据。 处理逻辑块通过以下方式提供模糊图像的迭代更新:(i)使用去模糊图像提供模糊图像预测误差的反馈,以及(ii)提供过去去模糊图像估计的反馈。 在处理逻辑块中通过u(n + 1)= u(n)-K *(H * u(n)-y B *)-S * u(n)来实现迭代更新 。
    • 2. 发明授权
    • System and method for monitoring distributed asset data
    • 用于监测分布式资产数据的系统和方法
    • US08959065B2
    • 2015-02-17
    • US13442817
    • 2012-04-09
    • Dimitry Gorinevsky
    • Dimitry Gorinevsky
    • G06F7/00
    • G06Q10/0639G06Q10/20
    • A computer-based monitoring system and monitoring method implemented in computer software for detecting, estimating, and reporting the condition states, their changes, and anomalies for many assets. The assets are of same type, are operated over a period of time, and outfitted with data collection systems. The proposed monitoring method accounts for variability of working conditions for each asset by using regression model that characterizes asset performance. The assets are of the same type but not identical. The proposed monitoring method accounts for asset-to-asset variability; it also accounts for drifts and trends in the asset condition and data. The proposed monitoring system can perform distributed processing of massive amounts of historical data without discarding any useful information where moving all the asset data into one central computing system might be infeasible. The overall processing is includes distributed preprocessing data records from each asset to produce compressed data.
    • 在计算机软件中实施的基于计算机的监控系统和监控方法,用于检测,估计和报告许多资产的状态,变化和异常情况。 资产类型相同,经营一段时间,配有数据收集系统。 提出的监测方法通过使用表征资产绩效的回归模型来解释每项资产的工作条件的变异性。 资产类型相同,但不完全相同。 拟议的监测方法考虑到资产与资产的变动性; 这也说明了资产状况和资料的偏差和趋势。 提出的监控系统可以对大量历史数据执行分布式处理,而不会丢弃任何有用的信息,将所有资产数据移动到一个中央计算系统中可能是不可行的。 整体处理包括来自每个资产的分布式预处理数据记录,以产生压缩数据。
    • 3. 发明授权
    • Structure health monitoring system and method
    • 结构健康监测系统及方法
    • US07103507B2
    • 2006-09-05
    • US10952995
    • 2004-09-28
    • Dimitry GorinevskyGrant A. GordonJoseph Nutaro
    • Dimitry GorinevskyGrant A. GordonJoseph Nutaro
    • G06F11/30G01B3/44
    • G05B23/0213G05B23/0283
    • A structure health monitoring (“SHM”) system according to the invention can be deployed in an onboard environment, such as an aircraft, to provide an ongoing damage assessment of structural components on the aircraft. The SHM system reduces or eliminates time consuming and costly manual inspections of aircraft. The SHM system can leverage known sensor technologies to collect sensor data indicative of the structural health of the monitored components. The sensor data is processed and baselined with sensor feature baselines and damage estimate baselines to provide an accurate final damage estimate for the monitored component. The final damage estimate can be further processed or formatted for compatibility with aircraft maintenance systems.
    • 根据本发明的结构健康监测(“SHM”)系统可以部署在诸如飞行器的车载环境中,以对飞机上的结构部件进行持续的损坏评估。 SHM系统减少或消除飞机耗时和昂贵的手动检查。 SHM系统可以利用已知的传感器技术来收集指示被监测部件的结构健康的传感器数据。 对传感器数据进行处理,并使用传感器特征基线和损伤估计基线进行基准测量,以便为受监视的部件提供准确的最终损伤估计。 可以对飞机维修系统进行进一步处理或格式化最终的损坏估计。
    • 4. 发明申请
    • METHOD AND SYSTEM FOR DIAGNOSTICS OF APPARATUS
    • 装置诊断方法与系统
    • US20100121609A1
    • 2010-05-13
    • US12268357
    • 2008-11-10
    • Dimitry GORINEVSKY
    • Dimitry GORINEVSKY
    • G06F15/00
    • G05B23/0281
    • Proposed is a method, implemented in software, for estimating fault state of an apparatus outfitted with sensors. At each execution period the method processes sensor data from the apparatus to obtain a set of parity parameters, which are further used for estimating fault state. The estimation method formulates a convex optimization problem for each fault hypothesis and employs a convex solver to compute fault parameter estimates and fault likelihoods for each fault hypothesis. The highest likelihoods and corresponding parameter estimates are transmitted to a display device or an automated decision and control system. The obtained accurate estimate of fault state can be used to improve safety, performance, or maintenance processes for the apparatus.
    • 提出了一种在软件中实现的用于估计装备有传感器的设备的故障状态的方法。 在每个执行周期,该方法处理来自装置的传感器数据以获得一组奇偶校验参数,进一步用于估计故障状态。 估计方法为每个故障假设制定凸优化问题,并采用凸求解器计算每个故障假设的故障参数估计和故障可能性。 最高可能性和相应的参数估计被传送到显示设备或自动化决策和控制系统。 获得的故障状态的准确估计可用于提高设备的安全性,性能或维护过程。
    • 6. 发明授权
    • Trending system and method using monotonic regression
    • 趋势系统和方法使用单调回归
    • US07072797B2
    • 2006-07-04
    • US10651550
    • 2003-08-29
    • Dimitry Gorinevsky
    • Dimitry Gorinevsky
    • G06F11/30G06F15/00
    • G05B23/0254
    • A system and method is provided for trending performance in a mechanical system. The trending system includes a performance estimator and a predictive trending mechanism. The performance estimator receives sensor data from the mechanical system and generates performance parameter estimates for the mechanical system. The performance parameter estimates are parametric data that are indicative of performance in the mechanical system. The performance parameter estimates are passed to a predictive trending mechanism. The predictive trending mechanism determines an estimated trend for the performance parameter estimates through monotonic regression of the performance parameter estimates. The estimated trend of the performance parameter estimates can include filtered values of the performance parameter estimates and/or predictions of future performance parameters.
    • 提供了一种用于在机械系统中趋势性能的系统和方法。 趋势系统包括性能估计器和预测趋势机制。 性能估计器从机械系统接收传感器数据,并生成机械系统的性能参数估计值。 性能参数估计是指示机械系统性能的参数数据。 性能参数估计被传递到预测趋势机制。 预测趋势机制通过性能参数估计的单调回归来确定性能参数估计的估计趋势。 性能参数估计的估计趋势可以包括性能参数估计的滤波值和/或未来性能参数的预测。
    • 7. 发明授权
    • Electromagnetic radiation structure control system
    • 电磁辐射结构控制系统
    • US07012271B2
    • 2006-03-14
    • US10401651
    • 2003-03-28
    • Dimitry GorinevskyTristram T. HydeLawrence P. Davis
    • Dimitry GorinevskyTristram T. HydeLawrence P. Davis
    • G01V8/00
    • G01B11/24G02B26/06G02B26/0825H01Q3/01H01Q15/147H01Q19/00
    • A control system is provided for controlling the shape of a flexible electromagnetic radiation structure. The control system includes a plurality of actuators and a plurality of computational elements. Each of the plurality of actuators is coupled to a portion of the radiation structure and can be selectively actuated by the plurality of computational elements. Thus, the plurality of actuators and the plurality of computational elements provide control of the flexible electromagnetic radiation structure shape. In one embodiment, each of the plurality of computational elements controls one section of the flexible electromagnetic radiation structure. Thus each of the plurality of computational elements receives controls the one or more of the plurality of actuator within its section. Together, the plurality of computational elements provide a distributed control network for the radiation structure. The control system thus provides the ability to accurately control and shape a flexible electromagnetic radiation structure.
    • 提供一种用于控制柔性电磁辐射结构的形状的控制系统。 控制系统包括多个致动器和多个计算元件。 多个致动器中的每一个被耦合到辐射结构的一部分并且可以由多个计算元件选择性地致动。 因此,多个致动器和多个计算元件提供对柔性电磁辐射结构形状的控制。 在一个实施例中,多个计算元件中的每一个控制柔性电磁辐射结构的一部分。 因此,多个计算元件中的每一个接收控制其部分内的多个致动器中的一个或多个。 多个计算元件一起提供用于辐射结构的分布式控制网络。 因此,控制系统提供了精确控制和形成柔性电磁辐射结构的能力。
    • 8. 发明申请
    • Trending system and method using monotonic regression
    • 趋势系统和方法使用单调回归
    • US20050049832A1
    • 2005-03-03
    • US10651550
    • 2003-08-29
    • Dimitry Gorinevsky
    • Dimitry Gorinevsky
    • G05B23/02G06F11/30G06F15/00
    • G05B23/0254
    • A system and method is provided for trending performance in a mechanical system. The trending system includes a performance estimator and a predictive trending mechanism. The performance estimator receives sensor data from the mechanical system and generates performance parameter estimates for the mechanical system. The performance parameter estimates are parametric data that are indicative of performance in the mechanical system. The performance parameter estimates are passed to a predictive trending mechanism. The predictive trending mechanism determines an estimated trend for the performance parameter estimates through monotonic regression of the performance parameter estimates. The estimated trend of the performance parameter estimates can include filtered values of the performance parameter estimates and/or predictions of future performance parameters.
    • 提供了一种用于在机械系统中趋势性能的系统和方法。 趋势系统包括性能估计器和预测趋势机制。 性能估计器从机械系统接收传感器数据,并生成机械系统的性能参数估计值。 性能参数估计是指示机械系统性能的参数数据。 性能参数估计被传递到预测趋势机制。 预测趋势机制通过性能参数估计的单调回归来确定性能参数估计的估计趋势。 性能参数估计的估计趋势可以包括性能参数估计的滤波值和/或未来性能参数的预测。
    • 9. 发明申请
    • SYSTEM AND METHOD FOR MONITORING DISTRIBUTED ASSET DATA
    • 用于监控分布式资产数据的系统和方法
    • US20130268501A1
    • 2013-10-10
    • US13442817
    • 2012-04-09
    • Dimitry Gorinevsky
    • Dimitry Gorinevsky
    • G06F7/00G06F17/30
    • G06Q10/0639G06Q10/20
    • A computer-based monitoring system and monitoring method implemented in computer software for detecting, estimating, and reporting the condition states, their changes, and anomalies for many assets. The assets are of same type, are operated over a period of time, and outfitted with data collection systems. The proposed monitoring method accounts for variability of working conditions for each asset by using regression model that characterizes asset performance. The assets are of the same type but not identical. The proposed monitoring method accounts for asset-to-asset variability; it also accounts for drifts and trends in the asset condition and data. The proposed monitoring system can perform distributed processing of massive amounts of historical data without discarding any useful information where moving all the asset data into one central computing system might be infeasible. The overall processing is includes distributed preprocessing data records from each asset to produce compressed data.
    • 在计算机软件中实施的基于计算机的监控系统和监控方法,用于检测,估计和报告许多资产的状态,变化和异常情况。 资产类型相同,经营一段时间,配有数据收集系统。 提出的监测方法通过使用表征资产绩效的回归模型来解释每项资产的工作条件的变异性。 资产类型相同,但不完全相同。 拟议的监测方法考虑到资产与资产的变动性; 这也说明了资产状况和资料的偏差和趋势。 提出的监控系统可以对大量历史数据执行分布式处理,而不会丢弃任何有用的信息,将所有资产数据移动到一个中央计算系统中可能是不可行的。 整体处理包括来自每个资产的分布式预处理数据记录,以产生压缩数据。