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    Method, system and computer product for integrating case based reasoning data and failure modes, effects and corrective action data
    11.
    发明授权
    Method, system and computer product for integrating case based reasoning data and failure modes, effects and corrective action data 失效
    用于集成案例推理数据和故障模式，效果和纠正措施数据的方法，系统和计算机产品

    公开(公告)号：US07103610B2

    公开(公告)日：2006-09-05

    申请号：US10302440

    申请日：2002-11-25

    Applicant: Timothy Lee Johnson ,  Steven Hector Azzaro ,  Daniel Joseph Cleary

    Inventor： Timothy Lee Johnson ,  Steven Hector Azzaro ,  Daniel Joseph Cleary

    IPC: G06F7/00 ,  G06F17/30

    CPC classification number: G06Q10/06 ,  Y10S707/99931 ,  Y10S707/99933 ,  Y10S707/99943

    Abstract: A method of integrating case based reasoning data and FMECA data for product life cycle support. The method comprises creating an access path to case based data using a FMECA classification. The creating includes receiving a case based record including heading data. The heading data includes data elements and the data elements are correlated with data fields in a FMECA database. The FMECA database is searched for an entry that includes one or more of the data elements. The creating further includes determining if the entry should include a reference to the case based record. A new pointer to the case based record is inserted if the determining results in finding that the entry should include a reference to the case based record. The method for integrating case based reasoning data and FMECA data further comprises receiving a request from a user to access the case based data. The case based data is accessed via the FMECA database using the access path in response to the request.

    Abstract translation: 一种将基于案例的推理数据和FMECA数据集成在产品生命周期支持中的方法。 该方法包括使用FMECA分类创建基于病例的数据的访问路径。 创建包括接收包括标题数据的基于案例的记录。 标题数据包括数据元素，数据元素与FMECA数据库中的数据字段相关。 搜索FMECA数据库以包含一个或多个数据元素的条目。 创建还包括确定条目是否应包括对基于案例的记录的引用。 如果确定结果发现该条目应包括对基于案例的记录的引用，则插入基于案例的记录的新指针。 用于集成基于案例的推理数据和FMECA数据的方法还包括从用户接收访问基于病例的数据的请求。 通过使用访问路径响应请求，通过FMECA数据库访问基于案例的数据。

    Model based assessment of locomotive engines
    13.
    发明授权
    Model based assessment of locomotive engines 有权
    机车发动机基于模型的评估

    公开(公告)号：US06246950B1

    公开(公告)日：2001-06-12

    申请号：US09303753

    申请日：1999-05-03

    Applicant: Warren Frank Bessler ,  Steven Hector Azzaro

    Inventor： Warren Frank Bessler ,  Steven Hector Azzaro

    IPC: G06F1900

    CPC classification number: F01P11/16

    Abstract: A locomotive for model-based incipient failure detection includes at least one replaceable unit and at least one sensor to generate signals representative of current engine conditions related to the at least one replaceable unit. A controller includes an embedded replaceable unit model algorithm. Current operating conditions and ambient conditions are utilized within the algorithm to generate a model-based predicted value for the at least one sensor. The controller compares the at least one sensor signals to the model-based predicted values for calculating deviations therebetween and detecting incipient failure of the at least one replaceable unit.

    Abstract translation: 一种用于基于模型的初始故障检测的机车包括至少一个可更换单元和至少一个传感器，用于产生代表与所述至少一个可更换单元相关的当前发动机状况的信号。 控制器包括嵌入式可更换单元模型算法。 在该算法中利用当前操作条件和环境条件来生成至少一个传感器的基于模型的预测值。 控制器将至少一个传感器信号与基于模型的预测值进行比较，以计算它们之间的偏差并检测至少一个可更换单元的初始故障。

    System and method for predicting fall risk for a resident
    14.
    发明授权
    System and method for predicting fall risk for a resident 失效
    用于预测居民跌跌风险的系统和方法

    公开(公告)号：US07612681B2

    公开(公告)日：2009-11-03

    申请号：US11671770

    申请日：2007-02-06

    Applicant: Steven Hector Azzaro ,  Mark Mitchell Kornfein ,  Vrinda Rajiv ,  Hunt Adams Sutherland

    Inventor： Steven Hector Azzaro ,  Mark Mitchell Kornfein ,  Vrinda Rajiv ,  Hunt Adams Sutherland

    IPC: G08B23/00

    CPC classification number: G08B21/0469 ,  A61B5/1113 ,  A61B5/1117 ,  A61B5/112 ,  A61B5/7264 ,  A61B5/7275 ,  A61B2503/08 ,  A61B2505/07 ,  G06F19/00 ,  G08B21/043

    Abstract: A system for predicting fall risk for a resident is provided. The system includes a fall risk prediction subsystem, configured to predict a fall risk likelihood for a resident based on data measurements collected from one or more sensors. One or more of the sensors comprise range control radar (RCR) sensors. The fall risk prediction subsystem further includes a fall analysis component configured to analyze the data measurements from one or more of the sensors and a fall risk assessment component configured to predict the fall risk likelihood for the resident based on the analysis.

    Abstract translation: 提供了一种用于预测居民跌倒风险的系统。 该系统包括跌落风险预测子系统，其被配置为基于从一个或多个传感器收集的数据测量来预测驻地的跌倒风险可能性。 一个或多个传感器包括量程控制雷达（RCR）传感器。 秋天风险预测子系统还包括堕落分析组件，其被配置为分析来自一个或多个传感器的数据测量值，以及坠落风险评估组件，其被配置为基于分析来预测居民的跌倒风险可能性。

    Locomotive diagnostic system
    17.
    发明授权
    Locomotive diagnostic system 失效
    机车诊断系统

    公开(公告)号：US06377876B1

    公开(公告)日：2002-04-23

    申请号：US09213350

    申请日：1998-12-17

    Applicant: Robert Arvin Hedeen ,  Steven Hector Azzaro ,  Robert John Naumiec ,  Slawomir Marian Zaremba

    Inventor： Robert Arvin Hedeen ,  Steven Hector Azzaro ,  Robert John Naumiec ,  Slawomir Marian Zaremba

    IPC: G06F1700

    CPC classification number: F01P11/14 ,  F01P5/02 ,  F01P5/14 ,  F01P2023/00 ,  F01P2023/08 ,  F04D27/00

    Abstract: A locomotive diagnostic system. A first sensor outputs a measurement of a first state variable (such as vibration) of a first locomotive component, such as a blower fan bearing set, and a second sensor outputs a measurement of a second state variable (such as rotational speed) of a second locomotive component, such as a blower fan shaft. The first state variable is indicative of the operation of the first component and is dependent on the second state variable. Data represents, for each of a number of different values of the second state variable, first, second, and third ranges of values of the first state variable which indicate, respectively, normal, worn, and failed operation of the first component. A mechanism, such as a digital computer, determines if the measurement of the first state variable is within the first, second, or third range of values of the first state variable for the measurement of the second state variable.

    Abstract translation: 机车诊断系统。 第一传感器输出诸如鼓风机轴承组的第一机车部件的第一状态变量（例如振动）的测量值，第二传感器输出第二状态变量（例如旋转速度）的测量值 第二机车部件，例如鼓风机风机轴。 第一状态变量表示第一组件的操作并且取决于第二状态变量。 数据表示对于第一状态变量的第一状态变量的第一，第二和第三范围值，分别表示第一组件的正常，磨损和失败的操作的第二状态变量的多个不同值中的每一个。 诸如数字计算机的机制确定第一状态变量的测量是否在用于测量第二状态变量的第一状态变量的值的第一，第二或第三范围内。

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