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 Title: |
US7103509:
System and method for predicting component failures in large systems
[ Derwent Title ]
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| Country: |
US United States of America
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| Inventor: |
Shah, Rasiklal Punjalal; Latham, NY, United States of America
Rajiv, Vrinda; Schenectady, NY, United States of America
Osborn, Mark David; Schenectady, NY, United States of America
Asati, Mahesh Kumar; Bangalore, India
Bonissone, Piero Patrone; Schenectady, NY, United States of America
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| Assignee: |
General Electric Company, Niskayuna, NY, United States of America
other patents from GENERAL ELECTRIC COMPANY (218550) (approx. 30,796)
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| Published / Filed: |
2006-09-05
/ 2004-11-23
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| Application Number: |
US2004000995981
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| IPC Code: |
Advanced:
G06F 15/00;
Core:
more...
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| ECLA Code: |
G01D1/00; G01D3/08;
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| U.S. Class: |
702/185;
702/085;
700/052;
706/010;
706/016;
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| Field of Search: |
Non/00e
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| Priority Number: |
| 2004-11-23 |
US2004000995981 |
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| Abstract: |
A method for predicting a time to failure of a component in a system is presented. The method comprises obtaining a set of data measurements related to the component. The set of data measurements are representative of a plurality of parameters including a plurality of leading parameters. The method comprises generating a prediction model based upon the leading parameters considered in combination. The prediction model is then used to predict the time to failure of the component based on a set of real-time measurements, wherein the plurality of parameters are processed to predict the time to failure for the component. Finally, a confidence level for the predicted time to failure is determined based upon the plurality of parameters.
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| Attorney, Agent or Firm: |
Fletcher Yoder ;
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| Primary / Asst. Examiners: |
Tsai, Carol S. W.;
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| INPADOC Legal Status: |
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| Family: |
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First Claim:
Show all 27 claims |
1. A method for predicting a time to failure of a component in a system, the method comprising: obtaining a set of data measurements related to the component, wherein the set of data measurements are representative of a plurality of parameters, including a plurality of leading parameters; generating a prediction model based upon the leading parameters considered in combination, wherein generating the prediction model comprises processing the set of data measurements based on a set of rules related to the plurality of parameters and one or more failure modes related to the component; using the prediction model to predict the time to failure of the component based on a set of real-time data measurements, wherein the plurality of parameters are processed to predict the time to failure for the component; and determining a confidence level for the predicted time to failure based upon the plurality of parameters.
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| Background / Summary: |
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| Drawing Descriptions: |
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| Description: |
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| Forward References: |
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