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公开(公告)号：US20240312350A1
公开(公告)日：2024-09-19
申请号：US18329901
申请日：2023-06-06
Applicant: General Electric Company
Inventor： Sadhana Gopalakrishnan , Vivek Gandhi , Jayanth Sekar
IPC: G08G5/00
CPC classification number: G08G5/003 , G08G5/0017
Abstract: A method of forecasting operation data of an aircraft includes receiving, by a computer system, historical flight data of the aircraft, the historical flight data including historical departure and arrival airports, and historical period of flight occurrence, calculating a transition probability matrix based on the historical flight data, determining, based on the transition probability, using a hidden Markov model (HMM), forecasted arrival airports, and time of arrival of the aircraft to the arrival airports to build a forecasted sequence of future routes, receiving, past aircraft sensor parameters, calculating, using a bootstrapping procedure based on the past aircraft sensor parameters and the forecasted sequence of future routes, forecast future aircraft operational data, and determining, based on the forecast future aircraft operational data, a maintenance schedule of one or more systems of the aircraft to prevent failure of the one or more system.
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公开(公告)号：US11067592B2
公开(公告)日：2021-07-20
申请号：US15809747
申请日：2017-11-10
Applicant: General Electric Company
Inventor： William Edwin Hurst , Mei Gao , Vivek Gandhi , Donald Horn , Gregory Jon Chiaramonte , Katherine Tharp Nowicki , Steven Richard Levin , Michael William Bailey , Ronald Plybon , Mustafa Tekin Dokucu , Aditya Kumar
Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to perform prognostic health monitoring of a turbine engine. An example apparatus includes a health quantifier calculator to execute a computer-generated model to generate first sensor data of a turbine engine, the first sensor data based on simulating a sensor monitoring the turbine engine using asset monitoring information, a parameter tracker to execute a tracking filter using the first sensor data and second sensor data to generate third sensor data corresponding to the turbine engine, the second sensor data based on obtaining sensor data from a sensor monitoring the turbine engine, the third sensor data based on comparing the first sensor data to the second sensor data, the health quantifier calculator to execute the computer-generated model using the third sensor data to generate an asset health quantifier of the turbine engine; and a report generator to generate a report including the asset health quantifier and a workscope recommendation based on the asset health quantifier when the asset health quantifier satisfies a threshold.
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公开(公告)号：US20190146000A1
公开(公告)日：2019-05-16
申请号：US15809747
申请日：2017-11-10
Applicant: General Electric Company
Inventor： William Edwin Hurst , Mei Gao , Vivek Gandhi , Donald Horn , Gregory Jon Chiaramonte , Katherine Tharp Nowicki , Steven Richard Levin , Michael William Bailey , Ronald Plybon , Mustafa Tekin Dokucu , Aditya Kumar
Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to perform prognostic health monitoring of a turbine engine. An example apparatus includes a health quantifier calculator to execute a computer-generated model to generate first sensor data of a turbine engine, the first sensor data based on simulating a sensor monitoring the turbine engine using asset monitoring information, a parameter tracker to execute a tracking filter using the first sensor data and second sensor data to generate third sensor data corresponding to the turbine engine, the second sensor data based on obtaining sensor data from a sensor monitoring the turbine engine, the third sensor data based on comparing the first sensor data to the second sensor data, the health quantifier calculator to execute the computer-generated model using the third sensor data to generate an asset health quantifier of the turbine engine; and a report generator to generate a report including the asset health quantifier and a workscope recommendation based on the asset health quantifier when the asset health quantifier satisfies a threshold.
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