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公开(公告)号:US10607426B2
公开(公告)日:2020-03-31
申请号:US15790388
申请日:2017-10-23
Applicant: UNITED TECHNOLOGIES CORPORATION
Inventor: Thomas A. Frewen , Hala Mostafa , Ozgur Erdinc , Draguna Vrabie , Mei Chen
Abstract: Systems and methods for the configuration of service policies for aircraft fleets and gas turbine engines are disclosed. One or more engine performance profiles may be generated based on historical engine performance data. The historical engine performance data may be retrieved based on one or more engine service parameters. A fleet performance profile may be generated based on the engine performance profiles. The engine service parameters may be varied to generate a configured engine performance profile. A configured fleet performance profile may be generated based on the configured engine performance profile.
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公开(公告)号:US20190172191A1
公开(公告)日:2019-06-06
申请号:US16210800
申请日:2018-12-05
Applicant: United Technologies Corporation
Inventor: Alan Matthew Finn , Jose Miguel Pasini , Edgar A. Bernal , Ozgur Erdinc , Ziyou Xiong , Gene B. Donskoy , Sergio S. Frutuoso , Joseph A. Sylvestro , Richard W. Osborne, III , Olusegun T. Oshin , William L. Rall
Abstract: A process for automated component inspection includes the steps of calibrating an imaging device mounted on a table; calibrating a coordinate measuring machine mounted on the table, the coordinate measuring machine comprising a fixture coupled to an arm of the coordinate measuring machine; coupling a component to the fixture; acquiring an image of said component with said imaging device; registering a baseline dimensioned image to the component image; applying the baseline dimensioned image to a damage detection algorithm; and determining component damage by the damage detection algorithm.
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公开(公告)号:US11333578B2
公开(公告)日:2022-05-17
申请号:US15927531
申请日:2018-03-21
Applicant: UNITED TECHNOLOGIES CORPORATION
Inventor: Thomas A. Frewen , Ozgur Erdinc , Hala Mostafa , Mei Chen , Draguna Vrabie
Abstract: A method and system of providing customizable service for an asset. The method including generating a predictive model for each asset of a fleet, each predictive model based on an operational profile for the asset and including a probability density function associated with the operational durability of the asset, establishing a maintenance strategy associated with the asset, and combining each of the predictive models to generate a compound fleet performance model, the fleet performance model including a combined probability density function. The method also includes collecting actual asset performance and maintenance data to generate actual asset metrics, determining a fleet performance profile based on the actual asset metrics indicative of a health assessment of the fleet, comparing the predicted fleet performance with the actual fleet performance, and ascertaining actionable choices for managing the assets based on a deviation of the predicted and actual fleet performance.
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公开(公告)号:US10928362B2
公开(公告)日:2021-02-23
申请号:US15971270
申请日:2018-05-04
Applicant: United Technologies Corporation
Inventor: Alan Matthew Finn , Amit Surana , Matthew O. Williams , Edgar A. Bernal , Ozgur Erdinc
Abstract: A method for nondestructive inspection of a component, the method includes determining a first pulse-echo scan from a first side of a component; determining a second pulse-echo scan from a second side of the component; determining a through-transmission scan based on the first pulse-echo scan, the second pulse-echo scan, and a model of the component, the model comprises a rigid internal structure of the component; and classifying the component based on comparing the through-transmission scan to a “gold” model.
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公开(公告)号:US20190339165A1
公开(公告)日:2019-11-07
申请号:US15971194
申请日:2018-05-04
Applicant: United Technologies Corporation
Inventor: Alan Matthew Finn , Ziyou Xiong , Richard W. Osborne, III , Ozgur Erdinc
Abstract: A system for component inspection comprising at least one sensor configured to capture sensor data of the component; and a processor coupled to the at least one sensor, the processor comprising at least one model configured to separate the sensor data into a normal category and an abnormal category.
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公开(公告)号:US11410298B2
公开(公告)日:2022-08-09
申请号:US16210800
申请日:2018-12-05
Applicant: United Technologies Corporation
Inventor: Alan Matthew Finn , Jose Miguel Pasini , Edgar A. Bernal , Ozgur Erdinc , Ziyou Xiong , Gene B. Donskoy , Sergio S. Frutuoso , Joseph A. Sylvestro , Richard W. Osborne, III , Olusegun T. Oshin , William L. Rall
Abstract: A process for automated component inspection includes the steps of calibrating an imaging device mounted on a table; calibrating a coordinate measuring machine mounted on the table, the coordinate measuring machine comprising a fixture coupled to an arm of the coordinate measuring machine; coupling a component to the fixture; acquiring an image of said component with said imaging device; registering a baseline dimensioned image to the component image; applying the baseline dimensioned image to a damage detection algorithm; and determining component damage by the damage detection algorithm.
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公开(公告)号:US10943320B2
公开(公告)日:2021-03-09
申请号:US15970944
申请日:2018-05-04
Applicant: United Technologies Corporation
Inventor: Alan Matthew Finn , Jose Miguel Pasini , Richard W. Osborne, III , Edgar A. Bernal , Ozgur Erdinc , Olusegun Oshin , Ziyou Xiong , Catalin G. Fotache , Gene B. Donskoy , Sergio S. Frutuoso , Joseph A. Sylvestro
Abstract: A method for robotic inspection of a part, includes the steps of: supporting the part with a robot mechanism; obtaining part-related sensor input with a sensor positioned to inspect the part supported by the robot mechanism; and controlling movement of the robot mechanism relative to the sensor, wherein the controlling is done by a feedback control unit which receives the sensor input, and the feedback control unit is configured to control the robot mechanism based upon the sensor input.
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公开(公告)号:US20190342499A1
公开(公告)日:2019-11-07
申请号:US15971214
申请日:2018-05-04
Applicant: United Technologies Corporation
Inventor: Ziyou Xiong , Alan Matthew Finn , Richard W. Osborne, III , Jose Miguel Pasini , Edgar A. Bernal , Ozgur Erdinc
Abstract: A multi-camera system for a component inspection comprising a table having a table top or, alternatively, another sufficiently rigid surface; a first camera having a narrow field-of-view lens; a second camera having a wide field-of-view lens linked to said first camera, wherein said first camera and said second camera are configured to move identical distances along a common axis relative to said table top or surface; and a pre-defined pattern defined on said table top or surface.
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公开(公告)号:US20180107203A1
公开(公告)日:2018-04-19
申请号:US15297319
申请日:2016-10-19
Applicant: United Technologies Corporation
Inventor: Gregory S. Hagen , Yiqing Lin , Ozgur Erdinc , Michael J. Giering , Alexander I. Khibnik
CPC classification number: G05B23/0289 , F01D21/003 , F01D25/16 , F01D25/18 , F05D2220/32 , F16H57/0405 , F16N29/00 , G01N33/2835 , G01N33/2858 , G05B13/0265 , G05B23/0205 , G06N20/00
Abstract: A system and method for debris particle detection with adaptive learning are provided. The method includes receiving oil debris monitoring (ODM) sensor data from an oil debris monitor sensor and fleet data from a database, detecting a feature in the ODM sensor data, generating an anomaly detection signal based on detecting an anomaly by comparing the feature in the ODM sensor data to a limit defined by system information stored in the fleet data, selecting a maintenance action request based on the anomaly detection signal, and adjusting one or more of the feature, the anomaly, the limit, and the maintenance action request by applying an adaptive learning algorithm that uses the ODM sensor data, fleet data, and feedback from field maintenance of one or more engines that evolves over time.
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公开(公告)号:US11268881B2
公开(公告)日:2022-03-08
申请号:US15971194
申请日:2018-05-04
Applicant: United Technologies Corporation
Inventor: Alan Matthew Finn , Ziyou Xiong , Richard W. Osborne, III , Ozgur Erdinc
Abstract: A system for component inspection comprising at least one sensor configured to capture sensor data of the component; and a processor coupled to the at least one sensor, the processor comprising at least one model configured to separate the sensor data into a normal category and an abnormal category.
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