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公开(公告)号：US10963797B2
公开(公告)日：2021-03-30
申请号：US15428543
申请日：2017-02-09
Applicant: Caterpillar Inc.
Inventor： Bhavin J. Vyas , Ankitkumar P. Dhorajiya , Vishnu G. Selvaraj , William D. Hankins
Abstract: A system for remote monitoring of a machine is provided. The system includes a data store to store machine data associated with an operation of the machine. The system includes an analyzer comprising a plurality of analytics engines to analyze the machine data. The analyzer selects one or more analytics engines based at least on one of machine data and a type of the machine. The analyzer is further configured to analyze machine data using the selected one or more analytics engines and to determine a plurality of exceptions. The system includes a rules engine to process at least two of the plurality of exceptions and determine a smart exception, wherein the smart exception is a hierarchical combination of the at least two of the plurality of exceptions. The system includes an interface to display a notification to a user in the event of a smart exception.
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公开(公告)号：US20180225578A1
公开(公告)日：2018-08-09
申请号：US15428543
申请日：2017-02-09
Applicant: Caterpillar Inc.
Inventor： Bhavin J. Vyas , Ankitkumar P. Dhorajiya , Vishnu G. Selvaraj , William D. Hankins
Abstract: A system for remote monitoring of a machine is provided. The system includes a data store to store machine data associated with an operation of the machine. The system includes an analyzer comprising a plurality of analytics engines to analyze the machine data. The analyzer selects one or more analytics engines based at least on one of machine data and a type of the machine. The analyzer is further configured to analyze machine data using the selected one or more analytics engines and to determine a plurality of exceptions. The system includes a rules engine to process at least two of the plurality of exceptions and determine a smart exception, wherein the smart exception is a hierarchical combination of the at least two of the plurality of exceptions. The system includes an interface to display a notification to a user in the event of a smart exception.
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公开(公告)号：US10210676B2
公开(公告)日：2019-02-19
申请号：US15197281
申请日：2016-06-29
Applicant: Caterpillar Inc.
Inventor： Dale E. Milton , Ankitkumar P. Dhorajiya
Abstract: A method, system, and apparatus to determine a malfunction or an abnormal pressure condition in a hydraulic system over a time period are provided. The method, system, and apparatus include monitoring hydraulic accumulator charge time, hydraulic accumulator discharge time, and hydraulic pump pressure over the time period, and determining whether the monitored hydraulic accumulator charge time, hydraulic accumulator discharge time, and hydraulic pump pressure are within respective predetermined ranges. A maintenance notification is output responsive to at least one of the monitored hydraulic accumulator charge time, hydraulic accumulator discharge time, and hydraulic pump pressure being outside the respective predetermined ranges during the time period.
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公开(公告)号：US20170038281A1
公开(公告)日：2017-02-09
申请号：US15332752
申请日：2016-10-24
Applicant: Caterpillar Inc.
Inventor： Ankitkumar P. Dhorajiya , William D. Hankins , Vishnu Gaurav Selvaraj , Kavitharani Ramamoorthy , John Mathew , Balaraju Bende
IPC: G01M99/00
CPC classification number: G06Q10/20
Abstract: A method of predicting life of a component of a machine is provided. The method includes receiving input data associated with the machine from a data repository. The input data include data associated with machine events and repairs. The method further includes analyzing the input data. Analyzing the input data includes determining a time difference between the machine event and the repair associated with the machine event, a repair reoccurrence, and the repair and a repair of an associated component. Analyzing the input data includes mapping the data associated with the machine event and repair based on the time difference, determining a weightage of a parameter for the machine events and the repairs based on the mapping, and computing a confidence rate of the machine event and the repair based on the weightage. The method further includes generating maintenance data of the component based on the confidence rate.
Abstract translation: 提供了一种预测机器部件寿命的方法。 该方法包括从数据存储库接收与机器相关联的输入数据。 输入数据包括与机器事件和维修相关的数据。 该方法还包括分析输入数据。 分析输入数据包括确定机器事件和与机器事件相关联的修复之间的时间差，修复再发生以及相关组件的修复和修复。 分析输入数据包括基于时间差映射与机器事件相关联的数据和修复，基于映射确定机器事件的参数的权重和修复，以及计算机器事件和 基于重量的修理。 该方法还包括基于置信率产生组件的维护数据。
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