System and method for equipment life estimation

a technology of equipment life estimation and system, applied in the field of life estimation, can solve the problems of difficult to come by understanding the underlying physics that govern remaining life, difficult to predict remaining life, and extremely costly developmen

Active Publication Date: 2008-06-12
GENERAL ELECTRIC CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0006]An embodiment of the invention includes a method to predict equipment life. The method includes making available a set of input parameters, and defining a model of a health of the equipment as a function of the set of input parameters. The method continues with receiving at least one signal representative of a respective one of an actual sensor output relating to an actual operation attribute margin of the equipment, predicting a remaining useful equipment life based upon a sequence of outputs of the model of the health of the equipment, and generating a signal corresponding to the remaining useful equipment life.
[0007]Another embodiment of the invention includes a prediction system for predicting life of equipmen...

Problems solved by technology

Predicting remaining life is not straightforward because, ordinarily, remaining life is dependent upon future usage conditions, such as load and speed, for example.
In addition, an understanding of the underlying physics that govern remaining life is hard to come by in particular for complex machinery where numerous fault modes can potentially be the driver for remaining life.
Because such models are extremely costly to develop, they are limited to a few important parts of a subsystem, but are rarely applied...

Method used

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Embodiment Construction

[0016]An embodiment of the invention will provide a subsystem level prognostics process over an entire subsystem without needing to assess the model of damage propagation mechanics at the materials level. In an embodiment, the process will operate in an absence of complete run to end of equipment useful life time series data.

[0017]An embodiment of the invention will utilize a hybrid model-based and data-driven approach to address particular challenges of a low-sampling rate of operational data available and to capitalize on thermodynamic engine models. An embodiment will take advantage of fault signature instances obtained by the model while observing partial fault trajectories in real data. An embodiment will transform engine observations into a space in which end-of-life margins can be defined. The equivalent of inverse damage propagation lines are then fit to the transformed observations, which allows remaining useful life to be estimated. In an embodiment, different sources of u...

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Abstract

A method to predict equipment life is disclosed. The method includes making available a set of input parameters, and defining a model of a health of the equipment as a function of the set of input parameters. The method continues with receiving at least one signal representative of a respective one of an actual sensor output relating to an actual operation attribute margin of the equipment, predicting a remaining useful equipment life based upon a sequence of outputs of the model of the health of the equipment, and generating a signal corresponding to the remaining useful equipment life.

Description

BACKGROUND OF THE INVENTION[0001]The present disclosure relates generally to life estimation, and particularly to equipment subsystem life estimation.[0002]Estimating a remaining useful life, also herein referred to as a remaining life, of a subsystem is known in the art as prognostics. Remaining life estimates provide valuable information for operation of modern complex equipment. Remaining life estimates provide decision making aids that allow operators to change operational characteristics (such as load), which in turn may prolong a life of the subsystem. Remaining life estimates also allow planners to account for upcoming maintenance and set in motion a logistics process that supports a smooth transition from faulted to fully functioning equipment. Predicting remaining life is not straightforward because, ordinarily, remaining life is dependent upon future usage conditions, such as load and speed, for example. In addition, an understanding of the underlying physics that govern r...

Claims

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Application Information

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IPC IPC(8): G06F15/00
CPCG05B19/4184G05B2219/32369G05B2219/32235G05B2219/32234Y02P90/02
Inventor GOEBEL, KAI FRANKBONISSONE, PIERO PATRONEYAN, WEIZHONGEKLUND, NEIL HOLGER WHITEXUE, FENGQIU, HAI
Owner GENERAL ELECTRIC CO
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