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11.发明申请公开(公告)号：US20180030850A1
公开(公告)日：2018-02-01
申请号：US15219335
申请日：2016-07-26
Applicant: UNITED TECHNOLOGIES CORPORATION
Inventor： Gregory S. Hagen
CPC classification number: F01D21/003 , F02C3/04 , F02C7/06 , F05D2220/32 , F05D2240/35 , F05D2260/98 , F16N29/04 , F16N2250/32 , G01M15/14 , G01N33/2858
Abstract: A debris monitoring system has a first sensor configured to generate a first signal indicating a presence of a metallic particle in a lubrication system. A second sensor is configured to generate a second signal indicating the presence of a metallic particle in the lubrication system. A signal processor is configured to determine a presence of a metallic particle in a fluid passage based on a comparison of at least the first signal and the second signal; the second signal being used to verify accuracy of the first signal. A gas turbine engine and a method for monitoring a fluid passage for debris are also disclosed.
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公开(公告)号：US20180023414A1
公开(公告)日：2018-01-25
申请号：US15218307
申请日：2016-07-25
Applicant: United Technologies Corporation
Inventor： Gregory S. Hagen , Yiqing Lin , Alexander I. Khibnik , Meggan Harris , Ozgur Erdinc , Michael J. Giering
CPC classification number: F01D21/003 , F02C7/06 , F05D2220/32 , F05D2260/98 , F16N29/04 , F16N2250/32 , G01N33/2858 , G01N33/2888
Abstract: A method of detecting debris within a lubricant stream, the method includes generating data indicative of debris and sensor system functionality within a lubricant stream with a sensor system. The data is communicated to a controller. Features calculated from the data are indicative of a debris within the lubricant stream. The calculated features are compiled over time during operation. The compiled features are classified. An oil debris monitoring system for a turbine engine is also disclosed.
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公开(公告)号：US10775269B2
公开(公告)日：2020-09-15
申请号：US15427989
申请日：2017-02-08
Applicant: UNITED TECHNOLOGIES CORPORATION
Inventor： Daniel L. Gysling , Gregory S. Hagen
Abstract: A system and method for blade health inspection is provided. The system may include a health monitoring processor, an excitation actuator, and a health monitoring sensor. The excitation actuator may pulse a force against an engine blade to cause non-integral vibratory excitations in engine blades. The health monitoring sensor may measure the vibratory excitations. The health monitoring processor may analyze the vibratory excitations to determine the health of the engine blade.
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Patent Agency Ranking
14.发明授权公开(公告)号：US10648361B2
公开(公告)日：2020-05-12
申请号：US15219335
申请日：2016-07-26
Applicant: UNITED TECHNOLOGIES CORPORATION
Inventor： Gregory S. Hagen
Abstract: A debris monitoring system has a first sensor configured to generate a first signal indicating a presence of a metallic particle in a lubrication system. A second sensor is configured to generate a second signal indicating the presence of a metallic particle in the lubrication system. A signal processor is configured to determine a presence of a metallic particle in a fluid passage based on a comparison of at least the first signal and the second signal; the second signal being used to verify accuracy of the first signal. A gas turbine engine and a method for monitoring a fluid passage for debris are also disclosed.
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15.发明授权公开(公告)号：US10400624B2
公开(公告)日：2019-09-03
申请号：US15590694
申请日：2017-05-09
Applicant: UNITED TECHNOLOGIES CORPORATION
Inventor： Gregory S. Hagen , Linda I. Rivera , Alexander I. Khibnik
Abstract: A system for identifying timeframes for borescope inspections for a gas turbine engine, having: monitoring systems monitor engine conditions, derive engine condition information and communicate such information to processors; feature interpreter module electronically communicates (i) with processors to process engine condition information, and (ii) feature interpreter information to processors, such information defines a probability of a FOD event; accumulator module electronically communicates (i) with processors to processes feature interpreter information, stored information since a last borescope inspection, and (ii) accumulator information to processors, such information defines an accumulated probability of a FOD event; and predictor and inspection planner module electronically communicates (i) with processors to processes accumulator information and stored information defines a threshold limits for a probability of a FOD event, and (ii) predictor and inspection planner information to processors, such information identifies a timeframe for a next borescope inspections predicted to occur before a FOD event.
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16.发明申请公开(公告)号：US20180328221A1
公开(公告)日：2018-11-15
申请号：US15590694
申请日：2017-05-09
Applicant: UNITED TECHNOLOGIES CORPORATION
Inventor： Gregory S. Hagen , Linda I. Rivera , Alexander I. Khibnik
CPC classification number: F01D21/003 , F05D2260/80 , F05D2260/82 , F05D2270/305 , F05D2270/311 , F05D2270/312 , F05D2270/313 , F05D2270/333 , F05D2270/71 , F05D2270/8041 , G01M15/14
Abstract: A system for identifying timeframes for borescope inspections for a gas turbine engine, having: monitoring systems monitor engine conditions, derive engine condition information and communicate such information to processors; feature interpreter module electronically communicates (i) with processors to process engine condition information, and (ii) feature interpreter information to processors, such information defines a probability of a FOD event; accumulator module electronically communicates (i) with processors to processes feature interpreter information, stored information since a last borescope inspection, and (ii) accumulator information to processors, such information defines an accumulated probability of a FOD event; and predictor and inspection planner module electronically communicates (i) with processors to processes accumulator information and stored information defines a threshold limits for a probability of a FOD event, and (ii) predictor and inspection planner information to processors, such information identifies a timeframe for a next borescope inspections predicted to occur before a FOD event.
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公开(公告)号：US20180224353A1
公开(公告)日：2018-08-09
申请号：US15427989
申请日：2017-02-08
Applicant: UNITED TECHNOLOGIES CORPORATION
Inventor： Daniel L. Gysling , Gregory S. Hagen
Abstract: A system and method for blade health monitoring is provided. The system and method may improve health diagnostic capabilities for engine blades, thus reducing the risk of blade failure during engine operation, increasing the useful life of each engine blade, and allowing for more accurate maintenance and/or inspection schedules of engine blades. The system may include a health monitoring processor, an excitation actuator, and a health monitoring sensor. The excitation actuator may pulse a force against an engine blade to cause non-integral vibratory excitations in engine blades. The health monitoring sensor may measure the vibratory excitations. The health monitoring processor may analyze the vibratory excitations to determine the health of the engine blade.
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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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