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1. 发明授权

US08903750B1 Adaptive learning network for fusion of remaining useful life with machinery condition 有权
标题翻译：自适应学习网络将剩余使用寿命与机械条件融合
公开(公告)号：US08903750B1
公开(公告)日：2014-12-02
申请号：US13591697
申请日：2012-08-22
申请人： Michael A. Bodkin , Gregory A. Harrison , Sreerupa Das , Richard M. Hall , Eric W. Worden
发明人： Michael A. Bodkin , Gregory A. Harrison , Sreerupa Das , Richard M. Hall , Eric W. Worden
IPC分类号： G06F15/18
CPC分类号： G06N7/005 , G06N99/005
摘要： Estimating a remaining useful life (RUL) of an apparatus is disclosed. A computer device may obtain a priori RUL data of an apparatus. The a priori RUL data identifies a priori RULs values of the apparatus as a function of time. Buckets are then defined in the a priori RUL data, wherein each of the buckets corresponds to a different set of the a priori RUL values in the a priori RUL data. An operational event indicator may then be obtained for the apparatus that indicates a current operational event of the apparatus. The RUL of an apparatus is estimated by determining probability values throughout a time period. Probability values are then determined based on the operational event indicator where each probability value quantifies a probability that a current RUL value of the first apparatus is within one of the buckets.
摘要翻译：公开了估计装置的剩余使用寿命（RUL）。计算机设备可以获得设备的先验RUL数据。先验RUL数据识别作为时间的函数的装置的先验RUL值。然后在先验RUL数据中定义桶，其中每个桶对应于先验RUL数据中的先验RUL值的不同集合。然后可以为指示装置的当前操作事件的装置获得操作事件指示符。通过在整个时间段内确定概率值来估计装置的RUL。然后基于操作事件指示符确定概率值，其中每个概率值量化第一装置的当前RUL值在一个桶内的概率。

2. 发明授权

US09239983B1 Quantifying a condition with a neural network 有权
标题翻译：用神经网络量化条件
公开(公告)号：US09239983B1
公开(公告)日：2016-01-19
申请号：US13434072
申请日：2012-03-29
申请人： Gregory A. Harrison , Sreerupa Das , Michael A. Bodkin , Richard M. Hall , Eric W. Worden , Stefan Herzog, Jr.
发明人： Gregory A. Harrison , Sreerupa Das , Michael A. Bodkin , Richard M. Hall , Eric W. Worden , Stefan Herzog, Jr.
IPC分类号： G06N5/02 , G06N3/04
CPC分类号： G06N3/04 , G06N3/0436
摘要： Quantification of a condition of a selected item using a neural network is disclosed. A device defines a good hypertube in a neural state space based on good item state points obtained from one or more items that exhibit desired operating characteristics, and a bad hypertube in the neural state space based on bad item state points obtained from one or more items that exhibit undesirable operating characteristics. A current item state hyperpoint is determined in the neural state space based on a current item state point of the selected item. A condition of the selected item is quantified as a function of a location of the current item state hyperpoint with respect to at least a portion of the good hypertube and with respect to at least a portion of the bad hypertube.
摘要翻译：公开了使用神经网络对所选项目的条件的量化。基于从一个或多个表现出期望的操作特征的项目获得的良好项目状态点，以及基于从一个或多个项目获得的不良项目状态点的神经状态空间中的不良高压物质，设备在神经状态空间中定义良好的增压剂这表现出不良的操作特性。基于所选项目的当前项状态点，在神经状态空间中确定当前项状态超点。所选择的项目的条件被量化为关于当前项目状态超点的位置相对于良好高血压的至少一部分以及相对于坏的高血压的至少一部分的函数。

3. 发明申请

US20100114806A1 Condition-Based Monitoring System For Machinery And Associated Methods 有权
标题翻译：基于条件的机械和相关方法监测系统
公开(公告)号：US20100114806A1
公开(公告)日：2010-05-06
申请号：US12581402
申请日：2009-10-19
申请人： Gregory A. Harrison , Michael A. Bodkin , Michelle L. Harris , Stefan Herzog , Eric W. Worden , Sreerupa Das , Richard Hall
发明人： Gregory A. Harrison , Michael A. Bodkin , Michelle L. Harris , Stefan Herzog , Eric W. Worden , Sreerupa Das , Richard Hall
IPC分类号： G06F15/18 , G06N3/02 , G06N3/12
CPC分类号： G06N3/0436 , G06N99/005
摘要： Real-time condition-based analysis is performed on a machine for providing diagnostic and prognostic outputs indicative of machine status includes a signal processor for receiving signals from sensors adapted for measuring machine performance parameters. The signal processor conditions and shapes at least some of the received signals into an input form for a neural network. A fuzzy adaptive resonance theory neural network receives at least some of the conditioned and shaped signals, and detects and classifies a state of the machine based upon the received conditioned and shaped signals, and upon a predetermined ontology of machine states, diagnostics, and prognostics. The neural network can also determine from the machine state a health status thereof, which can comprise an anomaly, and output a signal representative of the determined health status. A Bayesian intelligence network receives the machine state from the neural network and determines a fault probability at a future time.
摘要翻译：在机器上执行基于状态的实时分析，用于提供指示机器状态的诊断和预测输出，包括用于从适于测量机器性能参数的传感器接收信号的信号处理器。信号处理器将至少一些接收的信号条件和形状形成为神经网络的输入形式。模糊自适应共振理论神经网络接收至少一些调节和成形的信号，并且基于接收到的调节和成形信号以及机器状态，诊断和预测的预定本体来检测和分类机器的状态。神经网络还可以从机器状态确定其健康状况，其可以包括异常，并且输出表示所确定的健康状态的信号。贝叶斯智能网络从神经网络接收机器状态，并确定未来时间的故障概率。

4. 发明授权

US08332337B2 Condition-based monitoring system for machinery and associated methods 有权
标题翻译：基于条件的机械及相关方法监测系统
公开(公告)号：US08332337B2
公开(公告)日：2012-12-11
申请号：US12581402
申请日：2009-10-19
申请人： Gregory A. Harrison , Michael A. Bodkin , Michelle L. Harris , Stefan Herzog , Eric W. Worden , Sreerupa Das , Richard Hall
发明人： Gregory A. Harrison , Michael A. Bodkin , Michelle L. Harris , Stefan Herzog , Eric W. Worden , Sreerupa Das , Richard Hall
IPC分类号： G06E1/00 , G06E3/00 , G06F15/18 , G06G7/00
CPC分类号： G06N3/0436 , G06N99/005
摘要： Real-time condition-based analysis is performed on a machine for providing diagnostic and prognostic outputs indicative of machine status includes a signal processor for receiving signals from sensors adapted for measuring machine performance parameters. The signal processor conditions and shapes at least some of the received signals into an input form for a neural network. A fuzzy adaptive resonance theory neural network receives at least some of the conditioned and shaped signals, and detects and classifies a state of the machine based upon the received conditioned and shaped signals, and upon a predetermined ontology of machine states, diagnostics, and prognostics. The neural network can also determine from the machine state a health status thereof, which can comprise an anomaly, and output a signal representative of the determined health status. A Bayesian intelligence network receives the machine state from the neural network and determines a fault probability at a future time.
摘要翻译：在机器上执行基于状态的实时分析，用于提供指示机器状态的诊断和预测输出，包括用于从适于测量机器性能参数的传感器接收信号的信号处理器。信号处理器将至少一些接收的信号条件和形状形成为神经网络的输入形式。模糊自适应共振理论神经网络接收至少一些调节和成形的信号，并且基于接收到的调节和成形信号以及机器状态，诊断和预测的预定本体来检测和分类机器的状态。神经网络还可以从机器状态确定其健康状况，其可以包括异常，并且输出表示所确定的健康状态的信号。贝叶斯智能网络从神经网络接收机器状态，并确定未来时间的故障概率。

5. 发明授权

US08781982B1 System and method for estimating remaining useful life 有权
标题翻译：用于估算剩余使用寿命的系统和方法
公开(公告)号：US08781982B1
公开(公告)日：2014-07-15
申请号：US13241674
申请日：2011-09-23
申请人： Sreerupa Das , Gregory A. Harrison , Richard Hall , Michael A. Bodkin
发明人： Sreerupa Das , Gregory A. Harrison , Richard Hall , Michael A. Bodkin
IPC分类号： G06E1/00 , G06E3/00 , G06F15/18 , G06G7/00 , G06N3/04 , G06N3/08
CPC分类号： G06E1/00 , G05B13/04 , G05B23/0283 , G06E3/00 , G06F15/18 , G06G7/00 , G06N3/049 , G06N3/08
摘要： Mechanisms for predicting a remaining useful life of a cutter head of a milling machine that includes a plurality of flutes are disclosed. Features are extracted from reference data associated with a plurality of reference cutter heads. The reference data includes reference vibration data and reference wear data. At least two Neural Network predictive models are trained in parallel for predicting the remaining life of a new cutter head based upon the extracted features. Operational data associated with the new cutter head is obtained. The operational data includes operational vibration data and operational wear data. Features extracted from the operational data are input into an optimal predictive model of the at least two Neural Network predictive models. A remaining useful life of the new cutter head is estimated by the optimal predictive model.
摘要翻译：公开了一种用于预测包括多个凹槽的铣床的刀头的剩余使用寿命的机构。从与多个参考刀头相关联的参考数据中提取特征。参考数据包括参考振动数据和参考磨损数据。基于提取的特征，至少两个神经网络预测模型被并行训练以预测新刀头的剩余寿命。获得与新刀头相关联的操作数据。操作数据包括操作振动数据和操作磨损数据。从操作数据提取的特征被输入至少两个神经网络预测模型的最优预测模型。通过最佳预测模型估算新刀头的剩余使用寿命。

6. 发明授权

US09002775B1 Systems and methods for estimating a remaining useful life of an item 有权
标题翻译：用于估计物品的剩余使用寿命的系统和方法
公开(公告)号：US09002775B1
公开(公告)日：2015-04-07
申请号：US13472547
申请日：2012-05-16
申请人： Gregory A. Harrison , Michael A. Bodkin , Sreerupa Das , Richard Hall
发明人： Gregory A. Harrison , Michael A. Bodkin , Sreerupa Das , Richard Hall
IPC分类号： G06F9/44 , G06N7/00 , G06N99/00
CPC分类号： G06N7/005 , G06N99/005
摘要： Systems and methods are disclosed for more accurately estimating a remaining useful life (RUL) of an item. The RUL of the item is estimated by determining probability values throughout a time period. Each probability value quantifies a probability that a failure event of the item will occur by a time in a time segment of the time period. Based on the probability values, the particular time segment in which the failure event is most likely to occur is determined. Once the particular time segment is determined, the presentation of a visual representation of at least a portion of the time period can be effected. The visual representation indicates that the failure event of the item is most likely to occur during the particular time segment.
摘要翻译：公开了系统和方法以更准确地估计物品的剩余使用寿命（RUL）。通过在整个时间段内确定概率值来估计项目的RUL。每个概率值量化在该时间段的时间段中该项目的故障事件发生一段时间的概率。基于概率值，确定故障事件最可能发生的特定时间段。一旦确定了特定时间段，就可以实现至少一部分时间段的视觉表示的呈现。视觉表示指示项目的故障事件最有可能在特定时间段期间发生。

7. 发明授权

US08494981B2 Real-time intelligent virtual characters with learning capabilities 有权
标题翻译：具有学习能力的实时智能虚拟人物
公开(公告)号：US08494981B2
公开(公告)日：2013-07-23
申请号：US12819574
申请日：2010-06-21
申请人： Gregory A. Harrison , Thomas Wonneberger , Jason Tr Smith , David S. Maynard , Eric W. Worden
发明人： Gregory A. Harrison , Thomas Wonneberger , Jason Tr Smith , David S. Maynard , Eric W. Worden
IPC分类号： G06F15/18
CPC分类号： G06N3/006 , G06N99/005
摘要： A system, method, and computer-readable instructions for real-time characters with learning capabilities. A plurality of rules are defined in a rules-based system, each of the rules defining a condition that determines a behavior of a virtual agent when the rule is triggered by the condition being satisfied so that upon triggering of multiple rules at the same time, each of the behaviors of the multiple rules whose conditions were satisfied are combined into a resultant behavior for the virtual agent. This resultant behavior is compared with a desired behavior to providing feedback in the form of rewards or punishments to each of the multiple rules based on their corresponding contribution to the resultant behavior as compared to the desired behavior.
摘要翻译：具有学习能力的实时字符的系统，方法和计算机可读指令。在基于规则的系统中定义多个规则，每个规则定义了当满足条件触发规则时确定虚拟代理的行为的条件，使得在同时触发多个规则时，条件满足的多个规则的每个行为被组合成虚拟代理的结果行为。将所得到的行为与期望的行为进行比较，以便根据与所期望的行为相比对其对所得到的行为的相应贡献，向多个规则中的每一个提供奖励或惩罚形式的反馈。

8. 发明申请

US20110313955A1 REAL-TIME INTELLIGENT VIRTUAL CHARACTERS WITH LEARNING CAPABILITIES 有权
标题翻译：具有学习能力的实时智能虚拟特征
公开(公告)号：US20110313955A1
公开(公告)日：2011-12-22
申请号：US12819574
申请日：2010-06-21
申请人： Gregory A. Harrison , Thomas Wonneberger , Jason Tr Smith , David S. Maynard , Eric W. Worden
发明人： Gregory A. Harrison , Thomas Wonneberger , Jason Tr Smith , David S. Maynard , Eric W. Worden
IPC分类号： G06F15/18 , G06N5/02
CPC分类号： G06N3/006 , G06N99/005
摘要： A system, method, and computer-readable instructions for real-time characters with learning capabilities. A plurality of rules are defined in a rules-based system, each of the rules defining a condition that determines a behavior of a virtual agent when the rule is triggered by the condition being satisfied so that upon triggering of multiple rules at the same time, each of the behaviors of the multiple rules whose conditions were satisfied are combined into a resultant behavior for the virtual agent. This resultant behavior is compared with a desired behavior to providing feedback in the form of rewards or punishments to each of the multiple rules based on their corresponding contribution to the resultant behavior as compared to the desired behavior.
摘要翻译：具有学习能力的实时字符的系统，方法和计算机可读指令。在基于规则的系统中定义多个规则，每个规则定义了当满足条件触发规则时确定虚拟代理的行为的条件，使得在同时触发多个规则时，条件满足的多个规则的每个行为被组合成虚拟代理的结果行为。将所得到的行为与期望的行为进行比较，以便根据与所期望的行为相比对其对所得到的行为的相应贡献，向多个规则中的每一个提供奖励或惩罚形式的反馈。

9. 发明授权

US08781794B2 Methods and systems for creating free space reflective optical surfaces 有权
标题翻译：用于创建自由空间反射光学表面的方法和系统
公开(公告)号：US08781794B2
公开(公告)日：2014-07-15
申请号：US13211389
申请日：2011-08-17
申请人： Gregory A. Harrison , David Alan Smith , Gary E. Wiese
发明人： Gregory A. Harrison , David Alan Smith , Gary E. Wiese
IPC分类号： G06F17/50 , G02B27/14
CPC分类号： G06F17/50 , G02B27/0012 , G02B27/0172 , G02B2027/0123 , G02B2027/013
摘要： Computer-based methods and associated computer systems are disclosed for designing free space reflective optical surfaces (13) for use in head-mounted displays (HMDs). The reflective optical surface (13) produces a virtual image of a display surface (11) for viewing by a user's eye (15). The method includes using one or more computers to: (i) represent the display surface (11) by display objects (25); (ii) represent the free space reflective optical surface (13) by surface elements (23); and (iii) iteratively calculate spatial locations, normals, and radii of curvature for the surface elements (23) which will cause a virtual image of each display object (25) to be displayed to a nominal user's eye (15) in a desired direction of gaze of the eye (15).
摘要翻译：公开了基于计算机的方法和相关联的计算机系统，用于设计用于头戴显示器（HMD）的自由空间反射光学表面（13）。反射光学表面（13）产生用于用户的眼睛（15）观看的显示表面（11）的虚拟图像。该方法包括使用一个或多个计算机来：（i）通过显示对象（25）表示显示表面（11）; （ii）由表面元件（23）表示自由空间反射光学表面（13）; 并且（iii）迭代地计算表面元素（23）的空间位置，法线和曲率半径，这将导致每个显示对象（25）的虚拟图像在期望方向上显示给标称用户的眼睛（15）的目光（15）。

10. 发明授权

US08678282B1 Aim assist head-mounted display apparatus 有权
标题翻译：瞄准头戴显示装置
公开(公告)号：US08678282B1
公开(公告)日：2014-03-25
申请号：US13304780
申请日：2011-11-28
申请人： Jason Black , Gregory A. Harrison , David Alan Smith
发明人： Jason Black , Gregory A. Harrison , David Alan Smith
IPC分类号： G06F19/00
CPC分类号： F41G3/225 , F41G3/16 , G06F3/012
摘要： Systems, apparatus, and methods are provided which: (a) receive wired or wireless transmission of information regarding an orientation of a weapon; (b) receive wired or wireless transmission of information regarding an orientation of a viewing area of a head-mounted display apparatus; (c) process ballistic information of ammunition to be fired by the weapon and the information regarding the orientations of the weapon and the viewing area to obtain a calculated endpoint of the ammunition to be fired by the weapon; and (d) display an icon (e.g., a crosshair) representative of the endpoint of the ammunition in the viewing area of the head-mounted display apparatus.
摘要翻译：提供了系统，装置和方法，其中：（a）接收关于武器取向的信息的有线或无线传输; （b）接收关于头戴式显示装置的观看区域的取向的信息的有线或无线传输; （c）处理武器要发射的弹药的弹道信息和关于武器和观察区域的方向的信息，以获得武器将要发射的弹药的计算终点; 和（d）在头戴式显示装置的观看区域中显示代表弹药端点的图标（例如十字准线）。

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