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1. 发明申请

US20100011255A1 METHODS AND SYSTEMS FOR CONTINOUSLY ESTIMATING PERSISTENT AND INTERMITTENT FAILURE PROBABILITIES FOR PRODUCTION RESOURCES 有权
标题翻译：连续评估生产资源的持续性和间歇性失效概率的方法和系统
公开(公告)号：US20100011255A1
公开(公告)日：2010-01-14
申请号：US12489724
申请日：2009-06-23
申请人： Johan de Kleer , Lukas D. Kuhn , Robert Price , Minh Binh Do , Rong Zhou , Juan Liu
发明人： Johan de Kleer , Lukas D. Kuhn , Robert Price , Minh Binh Do , Rong Zhou , Juan Liu
IPC分类号： G06F11/30
CPC分类号： G06Q10/04 , G06Q10/06 , Y02P90/86
摘要： Production control systems and methods are presented for estimation of production resource failure probabilities in which a set of four count values are maintained and updated for each resource including a first count value m11 indicating a number of plans where the resource m was used and failed, a second count value m10 indicating a number of plans where the resource m was used and succeeded, a third count value m01 indicating a number of plans where the resource m was not used and failed, and a fourth count value m00 indicating a number of plans where the resource m was not used and succeeded, and the current fault probability for each resource is estimated and stored for single or multiple, persistent or intermittent faults based on the corresponding count values.
摘要翻译：生产控制系统和方法用于估计生产资源故障概率，其中为每个资源维护和更新一组四个计数值，包括指示资源m被使用和失败的计划数量的第一计数值m11，指示资源m被使用和成功的计划的数量的第二计数值m10，指示资源m未被使用和失败的计划数的第三计数值m01，以及指示计划数量的第四计数值m00，资源m未被使用和成功，并且基于相应的计数值，针对单个或多个持续或间歇性故障来估计和存储每个资源的当前故障概率。

2. 发明授权

US08165705B2 Methods and systems for continuously estimating persistent and intermittent failure probabilities for production resources 有权
标题翻译：持续估计生产资源的持续和间歇性故障概率的方法和系统
公开(公告)号：US08165705B2
公开(公告)日：2012-04-24
申请号：US12489724
申请日：2009-06-23
申请人： Johan de Kleer , Lukas Daniel Kuhn , Robert Price , Minh Binh Do , Rong Zhou , Juan Liu , Eric Saund
发明人： Johan de Kleer , Lukas Daniel Kuhn , Robert Price , Minh Binh Do , Rong Zhou , Juan Liu , Eric Saund
IPC分类号： G06F19/00
CPC分类号： G06Q10/04 , G06Q10/06 , Y02P90/86
摘要： Production control systems and methods are presented for estimation of production resource failure probabilities in which a set of four count values are maintained and updated for each resource including a first count value m11 indicating a number of plans where the resource m was used and failed, a second count value m10 indicating a number of plans where the resource m was used and succeeded, a third count value m01 indicating a number of plans where the resource m was not used and failed, and a fourth count value m00 indicating a number of plans where the resource m was not used and succeeded, and the current fault probability for each resource is estimated and stored for single or multiple, persistent or intermittent faults based on the corresponding count values.
摘要翻译：生产控制系统和方法用于估计生产资源故障概率，其中为每个资源维护和更新一组四个计数值，包括指示资源m被使用和失败的计划数量的第一计数值m11，指示资源m被使用和成功的计划的数量的第二计数值m10，指示资源m未被使用和失败的计划数的第三计数值m01，以及指示计划数量的第四计数值m00，资源m未被使用和成功，并且基于相应的计数值，针对单个或多个持续或间歇性故障来估计和存储每个资源的当前故障概率。

3. 发明申请

US20110009996A1 PERVASIVE MODEL ADAPTATION: THE INTEGRATION OF PLANNING AND INFORMATION GATHERING IN DYNAMIC PRODUCTION SYSTEMS 有权
标题翻译：完美的模式适应：动态生产系统中规划和信息收集的整合
公开(公告)号：US20110009996A1
公开(公告)日：2011-01-13
申请号：US12498943
申请日：2009-07-07
申请人： Juan Liu , Johan de Kleer , Lukas D. Kuhn
发明人： Juan Liu , Johan de Kleer , Lukas D. Kuhn
IPC分类号： G06F19/00
CPC分类号： G06Q10/06 , G05B17/02 , Y02P90/86
摘要： A computer-based method and system for pervasive model adaptation are provided. The method includes providing a production plan to a production system, executing the production plan in the production system, collecting observation data produced by at least one sensor in the production system during execution of the production plan into computer memory, calculating changes to be made to a system model in the computer memory based on the collected observation data, dynamically updating the system model according to the calculated changes, creating an updated production plan based at least partially on the dynamically updated system model, and storing the updated production plan within the computer memory.
摘要翻译：提供了一种基于计算机的普适模型适应方法和系统。该方法包括向生产系统提供生产计划，在生产系统中执行生产计划，在生产计划执行期间收集生产系统中的至少一个传感器产生的观察数据到计算机存储器中，计算对基于收集的观测数据在计算机存储器中的系统模型，根据所计算的变化来动态地更新系统模型，至少部分地基于动态更新的系统模型创建更新的生产计划，以及将更新的生产计划存储在计算机内记忆。

4. 发明申请

US20100306587A1 COMPUTATIONALLY EFFICIENT TIERED INFERENCE FOR MULTIPLE FAULT DIAGNOSIS 有权
标题翻译：针对多重故障诊断的计算效率高的推理
公开(公告)号：US20100306587A1
公开(公告)日：2010-12-02
申请号：US12610700
申请日：2009-11-02
申请人： Juan Liu , Johan de Kleer , Lukas D. Kuhn
发明人： Juan Liu , Johan de Kleer , Lukas D. Kuhn
IPC分类号： G06F11/07 , G06N5/04
CPC分类号： G05B19/0428 , G05B2219/24077 , G06N5/046
摘要： A computer based method and system for tiered inference multiple fault diagnosis is provided. The method includes using a computer processor to dissect a hypothesis space representing a production system having a plurality of production modules into tiers. Production modules in the current tier are partitioned into a group or a set of sub-groups. A fault diagnosis algorithm is applied to the group of each sub-group to identify an acceptable fault diagnosis. When no acceptable fault diagnosis is found, the process moves to the next tier to perform further investigations. The process continues to move to higher tiers until an acceptable fault diagnosis is obtained or the system instructs the process to end.
摘要翻译：提供了一种基于计算机的分层推理多故障诊断方法和系统。该方法包括使用计算机处理器来将表示具有多个生产模块的生产系统的假设空间解剖为层。当前层中的生产模块被分成一组或一组子组。将故障诊断算法应用于每个子组的组，以识别可接受的故障诊断。当没有发现可接受的故障诊断时，流程进入下一层进行进一步的调查。该过程继续移动到更高级别，直到获得可接受的故障诊断或系统指示过程结束。

5. 发明授权

US08265777B2 Pervasive model adaptation: the integration of planning and information gathering in dynamic production systems 有权
标题翻译：普适模式适应：动态生产系统中规划和信息收集的整合
公开(公告)号：US08265777B2
公开(公告)日：2012-09-11
申请号：US12498943
申请日：2009-07-07
申请人： Juan Liu , Johan de Kleer , Lukas D. Kuhn
发明人： Juan Liu , Johan de Kleer , Lukas D. Kuhn
IPC分类号： G05B13/02 , G06F19/00
CPC分类号： G06Q10/06 , G05B17/02 , Y02P90/86
摘要： A computer-based method and system for pervasive model adaptation are provided. The method includes providing a production plan to a production system, executing the production plan in the production system, collecting observation data produced by at least one sensor in the production system during execution of the production plan into computer memory, calculating changes to be made to a system model in the computer memory based on the collected observation data, dynamically updating the system model according to the calculated changes, creating an updated production plan based at least partially on the dynamically updated system model, and storing the updated production plan within the computer memory.
摘要翻译：提供了一种基于计算机的普适模型适应方法和系统。该方法包括向生产系统提供生产计划，在生产系统中执行生产计划，在生产计划执行期间收集生产系统中的至少一个传感器产生的观察数据到计算机存储器中，计算对基于收集的观测数据在计算机存储器中的系统模型，根据所计算的变化来动态地更新系统模型，至少部分地基于动态更新的系统模型创建更新的生产计划，以及将更新的生产计划存储在计算机内记忆。

6. 发明授权

US08473785B2 Computationally efficient tiered inference for multiple fault diagnosis 有权
标题翻译：用于多故障诊断的计算有效的分层推理
公开(公告)号：US08473785B2
公开(公告)日：2013-06-25
申请号：US12610700
申请日：2009-11-02
申请人： Juan Liu , Johan de Kleer , Lukas D. Kuhn
发明人： Juan Liu , Johan de Kleer , Lukas D. Kuhn
IPC分类号： G06F11/00
CPC分类号： G05B19/0428 , G05B2219/24077 , G06N5/046
摘要： A computer based method and system for tiered inference multiple fault diagnosis is provided. The method includes using a computer processor to dissect a hypothesis space representing a production system having a plurality of production modules into tiers. Production modules in the current tier are partitioned into a group or a set of sub-groups. A fault diagnosis algorithm is applied to the group of each sub-group to identify an acceptable fault diagnosis. When no acceptable fault diagnosis is found, the process moves to the next tier to perform further investigations. The process continues to move to higher tiers until an acceptable fault diagnosis is obtained or the system instructs the process to end.
摘要翻译：提供了一种基于计算机的分层推理多故障诊断方法和系统。该方法包括使用计算机处理器来将表示具有多个生产模块的生产系统的假设空间解剖为层。当前层中的生产模块被分成一组或一组子组。将故障诊断算法应用于每个子组的组，以识别可接受的故障诊断。当没有发现可接受的故障诊断时，流程进入下一层进行进一步的调查。该过程继续移动到更高级别，直到获得可接受的故障诊断或系统指示过程结束。

7. 发明授权

US09049312B2 Interactive tool for incorporating user input and feedback in image quality related diagnosis 有权
标题翻译：将用户输入和反馈结合在图像质量相关诊断中的交互式工具
公开(公告)号：US09049312B2
公开(公告)日：2015-06-02
申请号：US13443366
申请日：2012-04-10
申请人： Juan Liu , Robert Price , Eric S. Hamby , Rajinderjeet S. Minhas
发明人： Juan Liu , Robert Price , Eric S. Hamby , Rajinderjeet S. Minhas
IPC分类号： G06T5/00 , H04N1/00 , H04N1/60
CPC分类号： H04N1/00029 , H04N1/00005 , H04N1/00015 , H04N1/00031 , H04N1/00045 , H04N1/00058 , H04N1/6038
摘要： The presently disclosed embodiment provides an interactive tool for printed image artifact characterization that successfully combines the advantages from both a human visual system and automated image quality characterization. In the interactive tool provided, the user may specify coarse level information, such as the region of interest in a print image, to be examined by the automated image-quality characterization algorithm, which can then employ sophisticated algorithms, e.g. signal processing, feature extraction, estimation and classification, to find precise fine-level descriptors.
摘要翻译：本公开的实施例提供了一种用于打印图像伪影表征的交互式工具，其成功地结合了来自人类视觉系统和自动图像质量表征的优点。在提供的交互式工具中，用户可以指定要由自动图像质量表征算法检查的粗略级别信息，例如打印图像中的感兴趣区域，然后可以使用复杂的算法，例如，信号处理，特征提取，估计和分类，找到精确的精细级描述符。

8. 发明申请

US20130265595A1 ROBUST RECOGNITION OF CLUSTERS OF STREAKS AT MULTIPLE SCALES 有权
标题翻译：对多个分辨率的分类集合的鲁棒识别
公开(公告)号：US20130265595A1
公开(公告)日：2013-10-10
申请号：US13443441
申请日：2012-04-10
申请人： Juan Liu , Robert Price , Eric S. Hamby
发明人： Juan Liu , Robert Price , Eric S. Hamby
IPC分类号： H04N1/60 , G06K15/02
CPC分类号： G06T7/0004 , G06K9/40 , G06K9/527 , G06T2207/10008 , G06T2207/10024 , G06T2207/20064 , G06T2207/30144 , H04N1/00015 , H04N1/00031 , H04N1/00045
摘要： The present disclosure is generally related to the field of printing, and other processes based on the continuous deposition of material, including industrial molding or extrusion processes, and more particularly to techniques for grouping object quality anomalies in a specified region of an object based on context-specific characterization and shared descriptive profile features.
摘要翻译：本公开通常涉及印刷领域以及基于材料的连续沉积（包括工业成型或挤出工艺）的其它工艺，更具体地涉及基于上下文对对象的指定区域中的对象质量异常进行分组的技术具体表征和共享描述性特征。

9. 发明授权

US08749843B2 Robust recognition of clusters of streaks at multiple scales 有权
标题翻译：在多个尺度上坚固识别条纹簇
公开(公告)号：US08749843B2
公开(公告)日：2014-06-10
申请号：US13443441
申请日：2012-04-10
申请人： Juan Liu , Robert Price , Eric S. Hamby
发明人： Juan Liu , Robert Price , Eric S. Hamby
IPC分类号： G06K1/00 , G03G15/00 , G06K9/00
CPC分类号： G06T7/0004 , G06K9/40 , G06K9/527 , G06T2207/10008 , G06T2207/10024 , G06T2207/20064 , G06T2207/30144 , H04N1/00015 , H04N1/00031 , H04N1/00045
摘要： The present disclosure is generally related to the field of printing, and other processes based on the continuous deposition of material, including industrial molding or extrusion processes, and more particularly to techniques for grouping object quality anomalies in a specified region of an object based on context-specific characterization and shared descriptive profile features.
摘要翻译：本公开通常涉及印刷领域以及基于材料的连续沉积（包括工业成型或挤出工艺）的其它工艺，更具体地涉及基于上下文对对象的指定区域中的对象质量异常进行分组的技术具体表征和共享描述性特征。

10. 发明申请

US20130265594A1 INTERACTIVE TOOL FOR INCORPORATING USER INPUT AND FEEDBACK IN IMAGE QUALITY RELATED DIAGNOSIS 有权
标题翻译：用于输入用户输入的交互式工具和图像质量反馈相关诊断
公开(公告)号：US20130265594A1
公开(公告)日：2013-10-10
申请号：US13443366
申请日：2012-04-10
申请人： Juan Liu , Robert Price , Eric S. Hamby , Rajinderjeet S. Minhas
发明人： Juan Liu , Robert Price , Eric S. Hamby , Rajinderjeet S. Minhas
IPC分类号： G06F15/00
CPC分类号： H04N1/00029 , H04N1/00005 , H04N1/00015 , H04N1/00031 , H04N1/00045 , H04N1/00058 , H04N1/6038
摘要： The presently disclosed embodiment provides an interactive tool for printed image artifact characterization that successfully combines the advantages from both a human visual system and automated image quality characterization. In the interactive tool provided, the user may specify coarse level information, such as the region of interest in a print image, to be examined by the automated image-quality characterization algorithm, which can then employ sophisticated algorithms, e.g. signal processing, feature extraction, estimation and classification, to find precise fine-level descriptors.
摘要翻译：本公开的实施例提供了一种用于打印图像伪影表征的交互式工具，其成功地结合了来自人类视觉系统和自动图像质量表征的优点。在提供的交互式工具中，用户可以指定要由自动图像质量表征算法检查的粗略级别信息，例如打印图像中的感兴趣区域，然后可以使用复杂的算法，例如，信号处理，特征提取，估计和分类，找到精确的精细级描述符。

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