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11.发明申请公开(公告)号：US20120290168A1
公开(公告)日：2012-11-15
申请号：US13104629
申请日：2011-05-10
申请人： Soumen De , Pattada A. Kallappa , Pulak Bandyopadhyay , Siddhartha Mukhopadhyay , Somnath Sengupta , Alok Kanti Deb
发明人： Soumen De , Pattada A. Kallappa , Pulak Bandyopadhyay , Siddhartha Mukhopadhyay , Somnath Sengupta , Alok Kanti Deb
CPC分类号： G05B17/02 , G05B21/02 , G05B23/0254
摘要： A method and system for using Equivalent Time Sampling to improve the effective sampling rate of sensor data, and using the improved-resolution data for diagnosis and control. Data samples from existing sensors are provided, where the sampling rate of the existing sensors is not sufficient to accurately characterize the parameters being measured. High-resolution data sets are reconstructed using Equivalent Time Sampling. High-resolution input data sets are used in a system model to simulate the performance of the system being measured. Results from the system model, and high-resolution output data sets from Equivalent Time Sampling, are provided to an estimator, which provides accurate estimation of measured quantities and estimation of quantities not measured. Output from the estimator is used for fault diagnosis and control of the system being measured.
摘要翻译： 一种使用等效时间采样来提高传感器数据有效采样率的方法和系统，并使用改进的分辨率数据进行诊断和控制。 提供来自现有传感器的数据样本，其中现有传感器的采样速率不足以准确地表征所测量的参数。 使用等效时间采样重建高分辨率数据集。 在系统模型中使用高分辨率输入数据集来模拟被测系统的性能。 来自系统模型的结果和等效时间采样的高分辨率输出数据集提供给估计器，该估计器提供测量量的准确估计和未测量的量的估计。 估计器的输出用于正在测量的系统的故障诊断和控制。
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公开(公告)号：US20110238258A1
公开(公告)日：2011-09-29
申请号：US12730883
申请日：2010-03-24
CPC分类号： G07C5/0808
摘要： Systems and methods for capturing and analyzing significant parameter data from vehicle systems whenever a diagnostic trouble code (DTC) is triggered. A multi-dimensional matrix is constructed, with vehicles, DTCs, and parameter data comprising three dimensions of the matrix. The data matrix is populated with DTC and parameter data from many different vehicles, either when vehicles are taken to a dealer for service, or via wireless data download. Time can be added as a fourth dimension of the matrix, providing an indication of whether a particular system or component is temporally degrading. When sufficient data is accumulated, the data matrix is pre-processed, features are extracted from the data, and the features are classified, using a variety of mathematical techniques. Trained classifiers are then used to diagnose the root cause of any particular fault signal, and also to provide a prognosis of system health and remaining useful life.
摘要翻译： 每当触发诊断故障代码（DTC）时，从车辆系统捕获和分析重要参数数据的系统和方法。 构建多维矩阵，其中车辆，DTC和包括矩阵三维的参数数据。 当车辆被送往经销商进行维修或通过无线数据下载时，数据矩阵中填充有来自许多不同车辆的DTC和参数数据。 时间可以作为矩阵的第四维度添加，提供特定系统或组件是否在时间上有所降低的指示。 当累积足够的数据时，数据矩阵被预处理，从数据中提取特征，并且使用各种数学技术对特征进行分类。 然后训练分类器用于诊断任何特定故障信号的根本原因，并且还提供系统健康和剩余使用寿命的预后。
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公开(公告)号：US20110137711A1
公开(公告)日：2011-06-09
申请号：US12630866
申请日：2009-12-04
CPC分类号： G06Q10/06 , G06F11/079 , G06Q10/0639 , G06Q10/20 , G07C5/0808
摘要： A method of detecting anomalies in the service repairs data of equipment. A failure mode-symptom correlation matrix correlates failure modes to symptoms. Diagnostic trouble codes are collected for an actual repair for the equipment. The diagnostic trouble codes are provided to a diagnostic reasoner for identifying failure modes. Diagnostic assessment is applied by the diagnostic reasoner for determining the recommended repairs to perform on the equipment in response to identifying the failure modes. Each of the recommended repairs is compared with the actual repair used to repair the equipment. A mismatch is identified in response to any recommended repair not matching the actual repair. Reports are generated for displaying all of the identified mismatches. The reports are analyzed for determining repair codes having an increase in a number of anomalies. Service centers are alerted of a correct repair for the identified failure mode.
摘要翻译： 检测设备维修数据中异常的方法。 故障模式 - 症状相关矩阵将故障模式与症状相关联。 收集诊断故障代码以进行设备的实际维修。 诊断故障代码被提供给用于识别故障模式的诊断推理器。 诊断评估由诊断推理器应用，用于确定对设备执行的建议修理以响应识别故障模式。 将每个推荐的维修与用于维修设备的实际维修进行比较。 鉴于任何推荐的维修与实际维修不匹配，确定不匹配。 生成报告以显示所有已识别的不匹配。 分析报告以确定具有异常数量增加的修复代码。 提醒服务中心对所识别的故障模式进行正确修复。
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公开(公告)号：US07672811B2
公开(公告)日：2010-03-02
申请号：US11155098
申请日：2005-06-17
申请人： Guoxian Xiao , Pulak Bandyopadhyay , Ram Dwibhashyam , Basel Q. Shadid , Jorge F. Arinez , Leandro G. Barajas
发明人： Guoxian Xiao , Pulak Bandyopadhyay , Ram Dwibhashyam , Basel Q. Shadid , Jorge F. Arinez , Leandro G. Barajas
IPC分类号： G06F11/07
CPC分类号： G05B23/0232
摘要： Disclosed herein are a system, method and apparatus for reporting, making alerts and predicting fault codes generated by machines in a line. Historical fault code data is received and filtered according to particular criteria to generate filtered fault code data. Classification of the filtered fault code data into physical groups and into logical groups is followed by sorting the groups to produce fault trend data. Processing the fault trend data with a plurality of analyzers generates output including reports, alerts, and predictions of future fault code occurrences.
摘要翻译： 这里公开了一种系统，方法和装置，用于报告，发出警报并预测一行中机器产生的故障代码。 根据特定标准接收和过滤历史故障代码数据，以生成过滤的故障代码数据。 过滤后的故障代码数据分为物理组和逻辑组，然后对组进行排序以产生故障趋势数据。 用多个分析器处理故障趋势数据可以产生包括对未来故障代码发生的报告，警报和预测的输出。
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公开(公告)号：US20070288414A1
公开(公告)日：2007-12-13
申请号：US11448964
申请日：2006-06-07
IPC分类号： G06N5/02
CPC分类号： G06N99/005
摘要： A system and method for data analysis are disclosed. Data analysis may include a step of filtering the data to produce filtered data. The method may include processing a plurality of prediction algorithms to produce prediction values, the prediction values having associated historical and expected prediction confidence intervals. The method may also include evaluating performance of the prediction algorithms to generate performance indexes, the performance indexes having associated index confidence intervals. The method may also include generating relevance values of the prediction algorithms based on the performance indexes, and index confidence intervals. The method may further include applying the relevance values and prediction confidence intervals to determine how to combine prediction values, and applying multivariable data fusion to combine the prediction values. The form of output of the data analysis may be chosen from a list of output options, including predictions, reports, warnings and alarms, and other forms of reporting.
摘要翻译： 公开了一种用于数据分析的系统和方法。 数据分析可以包括过滤数据以产生滤波数据的步骤。 该方法可以包括处理多个预测算法以产生预测值，所述预测值具有相关联的历史和预期预测置信区间。 该方法还可以包括评估预测算法的性能以生成性能指标，性能指标具有相关联的索引置信区间。 该方法还可以包括基于性能指标和索引置信区间来生成预测算法的相关性值。 该方法还可以包括应用相关性值和预测置信区间来确定如何组合预测值，以及应用多变量数据融合以组合预测值。 可以从输出选项列表中选择数据分析的形式，包括预测，报告，警告和警报以及其他形式的报告。
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公开(公告)号：US20060288260A1
公开(公告)日：2006-12-21
申请号：US11155098
申请日：2005-06-17
申请人： Guoxian Xiao , Pulak Bandyopadhyay , Ram Dwibhashyam , Basel Shadid , Jorge Arinez , Leandro Barajas
发明人： Guoxian Xiao , Pulak Bandyopadhyay , Ram Dwibhashyam , Basel Shadid , Jorge Arinez , Leandro Barajas
IPC分类号： G06F11/00
CPC分类号： G05B23/0232
摘要： Disclosed herein are a system, method and apparatus for reporting, making alerts and predicting fault codes generated by machines in a line. Historical fault code data is received and filtered according to particular criteria to generate filtered fault code data. Classification of the filtered fault code data into physical groups and into logical groups is followed by sorting the groups to produce fault trend data. Processing the fault trend data with a plurality of analyzers generates output including reports, alerts, and predictions of future fault code occurrences.
摘要翻译： 这里公开了一种系统，方法和装置，用于报告，发出警报并预测一行中机器产生的故障代码。 根据特定标准接收和过滤历史故障代码数据，以生成过滤的故障代码数据。 过滤后的故障代码数据分为物理组和逻辑组，然后对组进行排序以产生故障趋势数据。 用多个分析器处理故障趋势数据可以产生包括对未来故障代码发生的报告，警报和预测的输出。
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公开(公告)号：US20050234586A1
公开(公告)日：2005-10-20
申请号：US11106041
申请日：2005-04-14
申请人： John Agapiou , Eric Steinhilper , Jeffrey Alden , Aloysius Anagonye , Pulak Bandyopadhyay , Fangming Gu , Patrick Hilber
发明人： John Agapiou , Eric Steinhilper , Jeffrey Alden , Aloysius Anagonye , Pulak Bandyopadhyay , Fangming Gu , Patrick Hilber
IPC分类号： G05B19/418 , G06F19/00
CPC分类号： G05B19/41875 , G05B2219/32194 , G05B2219/32223 , Y02P90/22 , Y02P90/26
摘要： A multistage machining process includes a plurality of stations. Workpiece feature quality is predicted based on decomposition of the machining process into sources of variation, reticulation of the machining process into machining stations and error models that account for significant contributions to feature quality including from categorical sources of variation.
摘要翻译： 多级加工工艺包括多个工位。 基于将加工过程分解为变化源，将加工过程加工成加工台的误差模型和对特征质量的重大贡献（包括分类变异来源）的误差模型，可以预测工件特征质量。
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公开(公告)号：US09740993B2
公开(公告)日：2017-08-22
申请号：US12630866
申请日：2009-12-04
CPC分类号： G06Q10/06 , G06F11/079 , G06Q10/0639 , G06Q10/20 , G07C5/0808
摘要： A method of detecting anomalies in the service repairs data of equipment. A failure mode-symptom correlation matrix correlates failure modes to symptoms. Diagnostic trouble codes are collected for an actual repair for the equipment. The diagnostic trouble codes are provided to a diagnostic reasoner for identifying failure modes. Diagnostic assessment is applied by the diagnostic reasoner for determining the recommended repairs to perform on the equipment in response to identifying the failure modes. Each of the recommended repairs is compared with the actual repair used to repair the equipment. A mismatch is identified in response to any recommended repair not matching the actual repair. Reports are generated for displaying all of the identified mismatches. The reports are analyzed for determining repair codes having an increase in a number of anomalies. Service centers are alerted of a correct repair for the identified failure mode.
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19.发明授权公开(公告)号：US08751097B2
公开(公告)日：2014-06-10
申请号：US13104629
申请日：2011-05-10
申请人： Soumen De , Pattada A. Kallappa , Pulak Bandyopadhyay , Siddhartha Mukhopadhyay , Somnath Sengupta , Alok Kanti Deb
发明人： Soumen De , Pattada A. Kallappa , Pulak Bandyopadhyay , Siddhartha Mukhopadhyay , Somnath Sengupta , Alok Kanti Deb
CPC分类号： G05B17/02 , G05B21/02 , G05B23/0254
摘要： A method and system for using Equivalent Time Sampling to improve the effective sampling rate of sensor data, and using the improved-resolution data for diagnosis and control. Data samples from existing sensors are provided, where the sampling rate of the existing sensors is not sufficient to accurately characterize the parameters being measured. High-resolution data sets are reconstructed using Equivalent Time Sampling. High-resolution input data sets are used in a system model to simulate the performance of the system being measured. Results from the system model, and high-resolution output data sets from Equivalent Time Sampling, are provided to an estimator, which provides accurate estimation of measured quantities and estimation of quantities not measured. Output from the estimator is used for fault diagnosis and control of the system being measured.
摘要翻译： 一种使用等效时间采样来提高传感器数据有效采样率的方法和系统，并使用改进的分辨率数据进行诊断和控制。 提供来自现有传感器的数据样本，其中现有传感器的采样率不足以准确地表征所测量的参数。 使用等效时间采样重建高分辨率数据集。 在系统模型中使用高分辨率输入数据集来模拟被测系统的性能。 来自系统模型的结果和等效时间采样的高分辨率输出数据集提供给估计器，该估计器提供测量量的准确估计和未测量的量的估计。 估计器的输出用于正在测量的系统的故障诊断和控制。
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公开(公告)号：US08645019B2
公开(公告)日：2014-02-04
申请号：US12964230
申请日：2010-12-09
CPC分类号： G05B23/0278
摘要： A method and system for comparing and merging fault models which are derived from different data sources. Two or more fault models are first represented as bipartite weighted graphs, which define correlations between failure modes and symptoms. The nodes of the graphs are compared to find failure modes and symptoms which are the same even though the specific terminology may be different. A graph matching method is then used to compare the graphs and determine which failure mode and symptom correlations are common between them. Finally, smoothing techniques and domain expert knowledge are used to merge and update the fault models, producing an integrated fault model which can be used by onboard vehicle systems, service facilities, and others.
摘要翻译： 用于比较和合并来自不同数据源的故障模型的方法和系统。 首先将两个或更多个故障模型表示为二分加权图，其定义故障模式和症状之间的相关性。 将图的节点进行比较以找出相同的故障模式和症状，即使特定的术语可能不同。 然后使用图匹配方法来比较图，并确定它们之间的故障模式和症状相关性。 最后，使用平滑技术和领域专家知识来合并和更新故障模型，生成可由车载系统，服务设施等使用的集成故障模型。
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