System and method for diagnosing line replaceable unit failure including measuring a hydraulic pressure and deriving a marginal distribution for each LRU

US10176070B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10176070-B2
Application numberUS-201514716556-A
CountryUS
Kind codeB2
Filing dateMay 19, 2015
Priority dateMay 19, 2015
Publication dateJan 8, 2019
Grant dateJan 8, 2019

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  1. Title

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  2. Abstract

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Abstract

Official abstract text for this publication.

A system and method of identifying part failures is provided. The system may comprise monitoring a sensor, detecting a failure mode, selecting a row from a lookup table corresponding to the failure mode, looking up a line replaceable unit (LRU) failure probability for the detected failure mode, and reporting the LRU failure probability for the detected failure mode.

First claim

Opening claim text (preview).

What is claimed is: 1. A method of identifying failures of line replaceable units (LRUs) in a brake system of an aircraft, comprising: measuring a hydraulic pressure level within the brake system using one or more sensors positioned at a measuring point within a hydraulic portion of the brake system; comparing the hydraulic pressure level to an expected pressure level at the measuring point to detect one or more failure modes in the brake system; selecting failure mode data corresponding to the one or more failure modes from a lookup table, wherein the failure mode data comprises a plurality of probabilities for failures of a selected set of the LRUs in the brake system and wherein the plurality of probabilities comprise at least one of reliability, safety and management data and expertise data; deriving a marginal distribution for each one of the selected set of LRUs, wherein the marginal distribution is derived by summing the probabilities corresponding to each one of the selected set of LRUs; and illuminating an indicator located within the aircraft to report an LRU failure probability for the detected one or more failure modes, wherein the brake system includes a brake control unit (BCU) connecting the one or more sensors and the indicator and wherein the lookup table is stored within a tangible, non-transitory memory within the BCU. 2. The method of claim 1 , wherein the one or more sensors includes a pressure sensor configured to monitor pressure at a discrete location of a hydraulic brake system. 3. The method of claim 1 , wherein the lookup table comprises at least one of a column or a row for each LRU from a plurality of LRUs.

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Classifications

  • where the computing system is an embedded system, i.e. a combination of hardware and software dedicated to perform a certain function in mobile devices, printers, automotive or aircraft systems (testing or monitoring of control systems or parts thereof G05B23/02) · CPC title

  • Performance evaluation by statistical analysis · CPC title

  • G05B23/024Primary

    Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks · CPC title

  • characterized by the response to fault detection · CPC title

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What does patent US10176070B2 cover?
A system and method of identifying part failures is provided. The system may comprise monitoring a sensor, detecting a failure mode, selecting a row from a lookup table corresponding to the failure mode, looking up a line replaceable unit (LRU) failure probability for the detected failure mode, and reporting the LRU failure probability for the detected failure mode.
Who is the assignee on this patent?
Goodrich Corp
What technology area does this patent fall under?
Primary CPC classification G06F11/3013. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 08 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).