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公开(公告)号：US20160104391A1
公开(公告)日：2016-04-14
申请号：US14972118
申请日：2015-12-17
Applicant: Caterpillar Inc.
Inventor： Nathan J. Wieland , Benjamin J. Hodel , Eric W. Cler , Aaron R. Shatters , Jeffrey K. Berry
CPC classification number: G09B19/003 , G09B5/02 , G09B19/24
Abstract: A method for generating a training plan for an operator of a machine to perform an operation is provided. The method includes receiving data associated with one or more functional parameters of the machine. The functional parameters include at least one of an operation parameter, an operator attribute parameter, and an environmental parameter. The method includes identifying a value of each of the functional parameters based on the data. Further, the method includes determining, in real-time, the training plan based on the identification of the functional parameters. The method includes communicating the instruction to the operator for performing the operation on the machine based on the training plan. The method includes monitoring the operation for being in conformance with the training plan. The method includes generating an alarm, when the operation performed by the operator deviates from the instructions of the training plan.
Abstract translation: 提供了一种用于为机器的操作者生成用于执行操作的训练计划的方法。 该方法包括接收与机器的一个或多个功能参数相关联的数据。 功能参数包括操作参数，操作者属性参数和环境参数中的至少一个。 该方法包括基于该数据识别每个功能参数的值。 此外，该方法包括基于功能参数的识别来实时地确定训练计划。 该方法包括基于训练计划将该指令传送给操作者以执行机器上的操作。 该方法包括监视符合培训计划的操作。 该方法包括当操作者执行的操作偏离训练计划的指令时产生报警。
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公开(公告)号：US10288530B2
公开(公告)日：2019-05-14
申请号：US14727022
申请日：2015-06-01
Applicant: Caterpillar Inc.
Inventor： Jeffry N. Sundermeyer , Benjamin Hodel , Nathan J. Wieland , Jim A. Nygaard
Abstract: A method for providing improved composite work cycle damage estimates includes constructing a damage rate basis matrix, performing a D-optimal row selection calculation on the damage rate basis matrix, selecting, based on the D-optimal row selection calculation, a finite number of strain measurement device locations on the machine, extracting a target percentile damage rate for each of the one or more strain measurement devices, and using the extracted damage rates to solve for the unknown coefficients and verify the weightings assigned to the machine operations.
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Patent Agency Ranking
3.发明申请METHOD FOR ALIGNING COMPOSITE WORK CYCLE SEVERITY DISTRIBUTIONS TO SEVERITY RESPONSES 审中-公开将复杂工作周期的严重程度分配给严重反应的方法公开(公告)号：US20160349152A1
公开(公告)日：2016-12-01
申请号：US14726720
申请日：2015-06-01
Applicant: Caterpillar Inc.
Inventor： Jeffry N. Sundermeyer , Benjamin Hodel , Nathan J. Wieland , Jim A. Nygaard
IPC: G01M99/00
CPC classification number: G01M99/008 , G01M99/00 , G06Q10/06 , G06Q10/20
Abstract: A method for aligning composite work cycle seventies to target percentile severity responses includes selecting a set of machines to be monitored for severity, applying an operation classification corresponding to one or more machine operations performed by each machine in the set of machines, applying a severity indexing system to the set of machines, constructing a distribution of severity responses associated with an operation classification, receiving data from one or more performed damage simulations or tests and mapping a selected range of test event seventies for the operation classification to corresponding target actual seventies for the operation based upon performance of the operation by the machine.
Abstract translation: 将复合工作周期七十年份对准目标百分位数严重性响应的方法包括选择一组待监控的严重性的机器，应用与机器组中的每个机器执行的一个或多个机器操作对应的操作分类，应用严重性索引 系统到一组机器，构建与操作分类相关联的严重性响应的分布，从一个或多个执行的损伤模拟或测试接收数据，并将所选择的测试活动的七十个范围作为操作分类映射到相应的目标实际七十年代 基于机器的操作性能进行操作。
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公开(公告)号：US20160349151A1
公开(公告)日：2016-12-01
申请号：US14727022
申请日：2015-06-01
Applicant: Caterpillar Inc.
Inventor： Jeffry N. Sundermeyer , Benjamin Hodel , Nathan J. Wieland , Jim A. Nygaard
CPC classification number: G01M99/005
Abstract: A method for providing improved composite work cycle damage estimates includes constructing a damage rate basis matrix, performing a D-optimal row selection calculation on the damage rate basis matrix, selecting, based on the D-optimal row selection calculation, a finite number of strain measurement device locations on the machine, extracting a target percentile damage rate for each of the one or more strain measurement devices, and using the extracted damage rates to solve for the unknown coefficients and verify the weightings assigned to the machine operations.
Abstract translation: 提供改进的复合工作周期损伤估计的方法包括构建损伤率基础矩阵，对损伤率基础矩阵执行D最优行选择计算，基于D最优行选择计算选择有限数量的应变 在机器上的测量装置位置，提取一个或多个应变测量装置中的每个应变测量装置的目标百分位数损伤率，并使用提取的损伤率来求解未知系数并验证分配给机器操作的权重。
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公开(公告)号：US20160098637A1
公开(公告)日：2016-04-07
申请号：US14505779
申请日：2014-10-03
Applicant: Caterpillar Inc.
Inventor： Benjamin Hodel , Nathan J. Wieland
CPC classification number: G05B23/0221 , G06N20/00
Abstract: Systems and methods for aggregating classifications of predictive operations of a machine may include one or more sensors in communication with a processor. Such systems and methods may be implemented to receive on-board machine time series data, process the data, segment the processed data, resolve the segmented data, and characterize the segmented data. Additionally, such systems and methods may be implemented to determine profile percentage breakdowns of a machine, performance reports, and productivity reports, and inform composite work cycles.
Abstract translation: 用于聚合机器的预测操作的分类的系统和方法可以包括与处理器通信的一个或多个传感器。 可以实现这样的系统和方法来接收机载时间序列数据，处理数据，分割处理的数据，解析分段数据，以及表征分段数据。 此外，可以实现这样的系统和方法以确定机器的简档百分比故障，性能报告和生产率报告，并通知复合工作周期。
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公开(公告)号：US12124231B2
公开(公告)日：2024-10-22
申请号：US17538324
申请日：2021-11-30
Applicant: Caterpillar Inc.
Inventor： Yanchai Zhang , Wenming Zhao , Chunhui Pan , Daojie Zhang , Xuefei Hu , Shiferaw Damtie Beyene , Nathan J. Wieland , John Dewey Gates , Nimesh Akalanka Jayakody
CPC classification number: G05B13/042 , G05B13/0265 , G05B23/024 , G05B23/0283
Abstract: An electronic control module (ECM) on-board a machine executes a reduced-order model configured to generate virtual sensor data associated with a machine component based on sensor data measured by actual sensors. The ECM can also execute a machine learning model configured to generate offset data for the sensor data and/or the virtual sensor data, based on operating conditions, an age of the machine component, and/or other factors that the reduced-order model may not consider. The sensor data and/or the virtual sensor data, adjusted based on the offset data, can indicate whether the machine component has failed or is predicted to fail at a future point in time, and/or a remaining usable life of the machine component.
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公开(公告)号：US20230168641A1
公开(公告)日：2023-06-01
申请号：US17538324
申请日：2021-11-30
Applicant: Caterpillar Inc.
Inventor： Yanchai Zhang , Wenming Zhao , Chunhui Pan , Daojie Zhang , Xuefei Hu , Shiferaw Damtie Beyene , Nathan J. Wieland , John Dewey Gates , Nimesh Akalanka Jayakody
CPC classification number: G05B13/042 , G05B13/0265
Abstract: An electronic control module (ECM) on-board a machine executes a reduced-order model configured to generate virtual sensor data associated with a machine component based on sensor data measured by actual sensors. The ECM can also execute a machine learning model configured to generate offset data for the sensor data and/or the virtual sensor data, based on operating conditions, an age of the machine component, and/or other factors that the reduced-order model may not consider. The sensor data and/or the virtual sensor data, adjusted based on the offset data, can indicate whether the machine component has failed or is predicted to fail at a future point in time, and/or a remaining usable life of the machine component.
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