公开(公告)号：US20080091630A1

公开(公告)日：2008-04-17

申请号：US11755924

申请日：2007-05-31

申请人： Piero Bonissone ,  Weizhong Yan ,  Naresh Iyer ,  Kai Goebel ,  Anil Varma

发明人： Piero Bonissone ,  Weizhong Yan ,  Naresh Iyer ,  Kai Goebel ,  Anil Varma

IPC分类号： G06N5/00

CPC分类号： G05B23/024 ,  G06K9/6284 ,  G06N99/005

摘要： Monitoring dynamic units that operate in complex, dynamic environments, is provided in order to classify and track unit behavior over time. When domain knowledge is available, feature-based models may be used to capture the essential state information of the units. When domain knowledge is not available, raw data is relied upon to perform this task. By analyzing logs of event messages (without having access to their data dictionary), embodiments allow the identification of anomalies (novelties). Specifically, a Normalized Compression Distance (such as one based on Kolmogorov Complexity) may be applied to logs of event messages. By analyzing the similarity and differences of the event message logs, units are identified that did not experience any abnormality (and locate regions of normal operations) and units that departed from such regions. Of particular interest is the detection and identification of units' epidemics, which is defined as sustained/increasing numbers of anomalies over time.

摘要翻译： 提供了监控在复杂，动态环境中运行的动态单元，以便对时间段内的单元行为进行分类和跟踪。 当领域知识可用时，可以使用基于特征的模型来捕获单位的基本状态信息。 当领域知识不可用时，依靠原始数据来执行此任务。 通过分析事件消息的日志（不访问其数据字典），实施例允许识别异常（新奇事物）。 具体来说，归一化压缩距离（例如基于Kolmogorov复杂度的距离）可以应用于事件消息的日志。 通过分析事件消息日志的相似性和差异，识别出没有经历任何异常（并定位正常操作的区域）的单位和离开这些区域的单位。 特别感兴趣的是检测和识别单位的流行病，其定义为持续/越来越多的异常随时间变化。

公开(公告)号：US20070038392A1

公开(公告)日：2007-02-15

申请号：US11200156

申请日：2005-08-10

申请人： Naresh Iyer ,  John Hershey ,  James Aragones ,  Kai Goebel ,  Weizhong Yan ,  Piero Bonissone ,  Charles Hatch

发明人： Naresh Iyer ,  John Hershey ,  James Aragones ,  Kai Goebel ,  Weizhong Yan ,  Piero Bonissone ,  Charles Hatch

IPC分类号： G01H11/00

CPC分类号： G01M15/12

摘要： A method for analyzing vibration including: acquiring a vibration signal; isolating a vibration signal event in the acquired signal; determining a frequency of a damped sinusoid of the vibration signal event, wherein the damped sinusoid characterizes the vibration signal event, and using the characteristic damped sinusoid to identify an occurrence of the vibration signal event in another vibration signal.

摘要翻译： 一种用于分析振动的方法，包括：获取振动信号; 隔离所获取的信号中的振动信号事件; 确定所述振动信号事件的阻尼正弦曲线的频率，其中所述阻尼正弦曲线表征所述振动信号事件，并且使用所述特征阻尼正弦曲线来识别所述振动信号事件在另一振动信号中的出现。

公开(公告)号：US20060174164A1

公开(公告)日：2006-08-03

申请号：US10906052

申请日：2005-02-01

申请人： John Hershey ,  Kai Goebel ,  Piero Bonissone ,  Naresh Iyer ,  Charles Hatch ,  Weizhong Yan ,  Harold Tomlinson

发明人： John Hershey ,  Kai Goebel ,  Piero Bonissone ,  Naresh Iyer ,  Charles Hatch ,  Weizhong Yan ,  Harold Tomlinson

IPC分类号： G06F11/00

CPC分类号： G05B23/0229

摘要： Methods, systems, and computer program products are provided for implementing condition monitoring activities. Systems include a processor in communication with a machine being monitored. The processor receives signals output by the machine via a signal conversion element associated with the machine. Systems also include a display device in communication with the processor for providing signatures of the signals received from the signal conversion element. Systems further include a means for identifying, isolating, and capturing a signature from the signatures presented on the display device. The systems also include a means for digitizing and recording the signature as an event kernel, normalizing the event kernel by performing a mean removal, and normalizing the energy to unity on results of the mean removal. Systems further include a storage device for storing normalized event kernels.

摘要翻译： 提供方法，系统和计算机程序产品，用于实施状态监测活动。 系统包括与被监视的机器通信的处理器。 处理器通过与机器相关联的信号转换元件接收由机器输出的信号。 系统还包括与处理器通信的显示设备，用于提供从信号转换元件接收的信号的签名。 系统还包括用于从显示设备上呈现的签名识别，隔离和捕获签名的装置。 这些系统还包括用于将签名数字化并记录为事件内核的手段，通过执行平均移除来归一化事件内核，并将平均值移除结果的能量归一化。 系统还包括用于存储标准化事件内核的存储设备。

公开(公告)号：US20060247798A1

公开(公告)日：2006-11-02

申请号：US11117596

申请日：2005-04-28

申请人： Rajesh Subbu ,  Piero Bonissone ,  Neil Eklund ,  Naresh Iyer ,  Rasiklal Shah ,  Weizhong Yan ,  Chad Knodle ,  James Schmid

发明人： Rajesh Subbu ,  Piero Bonissone ,  Neil Eklund ,  Naresh Iyer ,  Rasiklal Shah ,  Weizhong Yan ,  Chad Knodle ,  James Schmid

IPC分类号： G05B13/02

CPC分类号： G06N3/126

摘要： A method and system for performing multi-objective predictive modeling, monitoring, and update for an asset is provided. The method includes determining a status of each of at least two predictive models for an asset as a result of monitoring predicted performance values. The status of each predictive model includes at least one of: acceptable performance values, validating model, and unacceptable performance values. Based upon the status of each predictive model, the method includes performing at least one of: terminating use of the at least two predictive models for the asset, generating an alert for the asset of the status of the at least two predictive models, and updating the at least two predictive models based upon the status of the at least two predictive models.

摘要翻译： 提供了一种用于执行资产的多目标预测建模，监控和更新的方法和系统。 该方法包括作为监视预测的性能值来确定资产的至少两个预测模型中的每一个的状态。 每个预测模型的状态包括以下中的至少一个：可接受的性能值，验证模型和不可接受的性能值。 基于每个预测模型的状态，所述方法包括执行以下中的至少一个：终止使用所述资产的所述至少两个预测模型，为所述资产生成所述至少两个预测模型的状态的警报，以及更新 基于所述至少两个预测模型的状态的所述至少两个预测模型。

公开(公告)号：US20060271210A1

公开(公告)日：2006-11-30

申请号：US11116920

申请日：2005-04-28

申请人： Rajesh Subbu ,  Piero Bonissone ,  Neil Eklund ,  Naresh Iyer ,  Rasiklal Shah ,  Weizhong Yan ,  Chad Knodle ,  James Schmid

发明人： Rajesh Subbu ,  Piero Bonissone ,  Neil Eklund ,  Naresh Iyer ,  Rasiklal Shah ,  Weizhong Yan ,  Chad Knodle ,  James Schmid

IPC分类号： G05B13/02

CPC分类号： G06K9/623 ,  G06N3/126

摘要： A method and system for performing model-based multi-objective asset optimization and decision-making is provided. The method includes building at least two predictive models for an asset. The building includes categorizing operational historical data via at least one of: controllable variables, uncontrollable variables, output objectives, and constraints. The building also includes selecting at least two output objectives or constraints, and identifying at least one controllable or uncontrollable variable suitable for achieving the at least two output objectives or constraints. The method also includes validating each predictive model and performing multi-objective optimization using the predictive models. The multi-objective optimization includes specifying search constraints and applying a multi-objective optimization algorithm. The method further includes generating a Pareto Frontier, and selecting a Pareto optimal input-output vector.

公开(公告)号：US20080091715A1

公开(公告)日：2008-04-17

申请号：US11755898

申请日：2007-05-31

申请人： Weizhong Yan ,  Anil Varma ,  Piero Bonissone

发明人： Weizhong Yan ,  Anil Varma ,  Piero Bonissone

IPC分类号： G06F17/30

CPC分类号： G06F11/2263

摘要： A method and system for creating healthy operating envelope from only data samples obtained during normal operation/behavior of dynamic systems is provided. This method determines healthy operating envelope by clustering a stream of discrete event code sequences from the underlying system under normal operation condition only. The method is unsupervised, that is, requiring no prior knowledge of event code patterns corresponding to different operation conditions. Such created envelope can be used for fault detection and health monitoring of dynamic systems.

摘要翻译： 提供了一种从动态系统的正常操作/行为中获得的数据样本创建健康操作包络的方法和系统。 该方法通过在正常操作条件下聚类来自底层系统的离散事件代码序列流来确定健康操作包络。 该方法是无监督的，也就是说，不需要事先知道与不同操作条件对应的事件代码模式。 这种创建的信封可用于动态系统的故障检测和健康监测。

公开(公告)号：US07937334B2

公开(公告)日：2011-05-03

申请号：US11755924

申请日：2007-05-31

申请人： Piero Patrone Bonissone ,  Weizhong Yan ,  Naresh Sundaram Iyer ,  Kai Goebel ,  Anil Varma

发明人： Piero Patrone Bonissone ,  Weizhong Yan ,  Naresh Sundaram Iyer ,  Kai Goebel ,  Anil Varma

IPC分类号： G06F17/00

CPC分类号： G05B23/024 ,  G06K9/6284 ,  G06N99/005

摘要： Monitoring dynamic units that operate in complex, dynamic environments, is provided in order to classify and track unit behavior over time. When domain knowledge is available, feature-based models may be used to capture the essential state information of the units. When domain knowledge is not available, raw data is relied upon to perform this task. By analyzing logs of event messages (without having access to their data dictionary), embodiments allow the identification of anomalies (novelties). Specifically, a Normalized Compression Distance (such as one based on Kolmogorov Complexity) may be applied to logs of event messages. By analyzing the similarity and differences of the event message logs, units are identified that did not experience any abnormality (and locate regions of normal operations) and units that departed from such regions.

摘要翻译： 提供了监控在复杂，动态环境中运行的动态单元，以便对时间段内的单元行为进行分类和跟踪。 当领域知识可用时，可以使用基于特征的模型来捕获单位的基本状态信息。 当领域知识不可用时，依靠原始数据来执行此任务。 通过分析事件消息的日志（不访问其数据字典），实施例允许识别异常（新奇事物）。 具体来说，归一化压缩距离（例如基于Kolmogorov复杂度的距离）可以应用于事件消息的日志。 通过分析事件消息日志的相似性和差异，识别出没有经历任何异常（并定位正常操作的区域）的单位和离开这些区域的单位。

公开(公告)号：US07725293B2

公开(公告)日：2010-05-25

申请号：US11608058

申请日：2006-12-07

申请人： Piero Patrone Bonissone ,  Feng Xue ,  Anil Varma ,  Kai Frank Goebel ,  Weizhong Yan ,  Neil Holger White Eklund

发明人： Piero Patrone Bonissone ,  Feng Xue ,  Anil Varma ,  Kai Frank Goebel ,  Weizhong Yan ,  Neil Holger White Eklund

IPC分类号： G06F3/00

CPC分类号： G06N5/04

摘要： A method to predict remaining life of a target is disclosed. The method includes receiving information regarding a behavior of the target, and identifying from a database at least one piece of equipment having similarities to the target. The method further includes retrieving from the database data prior to an end of the equipment useful life, the data having a relationship to the behavior, evaluating a similarity of the relationship, predicting the remaining life of the target based upon the similarity, and generating a signal corresponding to the predicted remaining equipment life.

摘要翻译： 公开了一种预测目标的剩余寿命的方法。 该方法包括接收关于目标的行为的信息，以及从数据库中识别具有与目标相似的至少一件设备。 该方法还包括在设备使用寿命结束之前从数据库中获取数据，数据与行为有关系，评估关系的相似性，基于相似度预测目标的剩余寿命，并产生 信号对应于预计的剩余设备寿命。

公开(公告)号：US07958062B2

公开(公告)日：2011-06-07

申请号：US11755898

申请日：2007-05-31

申请人： Weizhong Yan ,  Anil Varma ,  Piero Patrone Bonissone

发明人： Weizhong Yan ,  Anil Varma ,  Piero Patrone Bonissone

IPC分类号： G06N5/00

CPC分类号： G06F11/2263

摘要： A method and system for creating healthy operating envelope from only data samples obtained during normal operation/behavior of dynamic systems is provided. This method determines healthy operating envelope by clustering a stream of discrete event code sequences from the underlying system under normal operation condition only. The method is unsupervised, that is, requiring no prior knowledge of event code patterns corresponding to different operation conditions. Such created envelope can be used for fault detection and health monitoring of dynamic systems.

摘要翻译： 提供了一种从动态系统的正常操作/行为中获得的数据样本创建健康操作包络的方法和系统。 该方法通过在正常操作条件下聚类来自底层系统的离散事件代码序列流来确定健康操作包络。 该方法是无监督的，也就是说，不需要事先知道与不同操作条件对应的事件代码模式。 这种创建的信封可用于动态系统的故障检测和健康监测。

公开(公告)号：US20080140361A1

公开(公告)日：2008-06-12

申请号：US11608058

申请日：2006-12-07

申请人： Piero Patrone Bonissone ,  Feng Xue ,  Anil Varma ,  Kai Frank Goebel ,  Weizhong Yan ,  Neil Holger White Eklund

发明人： Piero Patrone Bonissone ,  Feng Xue ,  Anil Varma ,  Kai Frank Goebel ,  Weizhong Yan ,  Neil Holger White Eklund

IPC分类号： G06F17/10

CPC分类号： G06N5/04

摘要： A method to predict remaining life of a target is disclosed. The method includes receiving information regarding a behavior of the target, and identifying from a database at least one piece of equipment having similarities to the target. The method further includes retrieving from the database data prior to an end of the equipment useful life, the data having a relationship to the behavior, evaluating a similarity of the relationship, predicting the remaining life of the target based upon the similarity, and generating a signal corresponding to the predicted remaining equipment life.

摘要翻译： 公开了一种预测目标的剩余寿命的方法。 该方法包括接收关于目标的行为的信息，以及从数据库中识别具有与目标相似的至少一件设备。 该方法还包括在设备使用寿命结束之前从数据库中获取数据，数据与行为有关系，评估关系的相似性，基于相似度预测目标的剩余寿命，并且生成 信号对应于预计的剩余设备寿命。