Fault prediction in hydraulic systems

Patent metadata

Field	Value
Publication number	US-2020003237-A1
Application number	US-201816023514-A
Country	US
Kind code	A1
Filing date	Jun 29, 2018
Priority date	Jun 29, 2018
Publication date	Jan 2, 2020
Grant date	—

Abstract

Fault prediction improvements are provided herein via pruning a dataset by selecting a subset of the dataset for use as a pruned dataset, wherein the pruned dataset includes pressure data for a hydraulic system correlated in time with command signals for a plurality of deployment events of the hydraulic system, and in response to determining that a given pressure value for a given deployment event in the pruned dataset satisfies a low pressure threshold and that a change in pressure values over time during the given deployment event satisfies a pressure slope threshold, generating a service message for the hydraulic system that indicates that the hydraulic system is in a prefault state.

First claim

What is claimed is:

1 . A method, comprising:
pruning a dataset by selecting a subset of the dataset for use as a sanitized dataset, wherein the pruned dataset includes pressure data for a hydraulic system correlated in time with command signals for a plurality of deployment events of the hydraulic system; and in response to determining that a given pressure value for a given deployment event in the pruned dataset satisfies a low pressure threshold and that a change in pressure values over time during the given deployment event satisfies a pressure slope threshold, generating a service message for the hydraulic system.

2 . The method of claim 1 , wherein pruning the dataset comprises selecting the subset of the dataset based on at least one of:
wherein the plurality of deployment events selected last for at least a predetermined amount of time; wherein the plurality of deployment events selected include a deployment condition; and wherein the pressure data during the plurality of deployment events selected satisfy a valid-pressure threshold.

3 . The method of claim 2 , wherein pruning the dataset further comprises selecting the plurality of deployment events based on a difference between a maximum pressure value in a particular deployment event and a minimum value in the particular deployment event satisfying a range threshold.

4 . The method of claim 2 , wherein the deployment condition includes at least one of:
a given altitude at which the deployment events occur; and a given temperature at which the deployment events occurs.

5 . The method of claim 1 , wherein the change in pressure values over time during the given deployment event is correlated to a low pressure spike occurring at a start of the given deployment event.

6 . The method of claim 1 , wherein determining that the given deployment event satisfies the pressure slope threshold further comprises:
determining that a first change in pressure values over time during a first deployment event satisfies a first pressure slope threshold; and determining that a second change in pressure values over time during a second deployment event satisfies a second pressure slope threshold; wherein the second deployment occurs subsequent to the first deployment; and wherein the second pressure slope threshold is greater than the first pressure slope threshold.

7 . The method of claim 1 , wherein the hydraulic system operates landing gear of an aircraft.

8 . A non-transitory computer-readable storage device including processor executable instructions that enable a processor to perform operations comprising:
pruning a dataset by selecting a subset of the dataset for use as a pruned dataset, wherein the pruned dataset includes pressure data for a hydraulic system correlated in time with command signals for a plurality of deployment events of the hydraulic system; and in response to determining that a given pressure value for a given deployment event in the pruned dataset satisfies a low pressure threshold and that a change in pressure values over time during the given deployment event satisfies a pressure slope threshold, generating a service message for the hydraulic system.

9 . The non-transitory computer-readable storage device of claim 8 , wherein pruning the dataset comprises selecting the subset of the dataset based on at least one of:
wherein the plurality of deployment events selected last for at least a predetermined amount of time; wherein the plurality of deployment events selected include a deployment condition; and wherein the pressure data during the plurality of deployment events selected satisfy a valid-pressure threshold.

10 . The non-transitory computer-readable storage device of claim 9 , wherein pruning the dataset further comprises selecting the plurality of deployment events based on a difference between a maximum pressure value in a particular deployment event and a minimum value in the particular deployment event satisfying a range threshold.

11 . The non-transitory computer-readable storage device of claim 9 , wherein the deployment condition includes at least one of:
a given altitude at which the deployment events occur; and a given temperature at which the deployment events occurs.

12 . The non-transitory computer-readable storage device of claim 8 , wherein the change in pressure values over time during the given deployment event is correlated to a low pressure spike occurring at a start of the given deployment event.

13 . The non-transitory computer-readable storage device of claim 8 , wherein determining that the given deployment event satisfies the pressure slope threshold further comprises:
determining that a first change in pressure values over time during a first deployment event satisfies a first pressure slope threshold; and determining that a second change in pressure values over time during a second deployment event satisfies a second pressure slope threshold; wherein the second deployment occurs subsequent to the first deployment; and wherein the second pressure slope threshold is greater than the first pressure slope threshold.

14 . The non-transitory computer-readable storage device of claim 8 , wherein the hydraulic system operates landing gear of an aircraft.

15 . A system, comprising:
a processor; and a memory, the memory including instructions that, when executed by the processor, enable the processor to:
prune a dataset by selecting a subset of the dataset for use as a pruned dataset, wherein the pruned dataset includes pressure data for a hydraulic system correlated in time with command signals for a plurality of deployment events of the hydraulic system; and
in response to determining that a given pressure value for a given deployment event in the pruned dataset satisfies a low pressure threshold and that a change in pressure values over time during the given deployment event satisfies a pressure slope threshold, generate a service message for the hydraulic system.

16 . The system of claim 15 , wherein pruning the dataset comprises selecting the subset of the dataset based on at least one of:
wherein the plurality of deployment events selected last for at least a predetermined amount of time; wherein the plurality of deployment events selected include a deployment condition; and wherein the pressure data during the plurality of deployment events selected satisfy a valid-pressure threshold.

17 . The system of claim 16 , wherein pruning the dataset further comprises selecting the plurality of deployment events based on a difference between a maximum pressure value in a particular deployment event and a minimum value in the particular deployment event satisfying a range threshold.

18 . The system of claim 16 , wherein the deployment condition includes at least one of:
a given altitude at which the deployment events occur; and a given temperature at which the deployment events occurs.

19 . The system of claim 15 , wherein the change in pressure values over time during the given deployment event is correlated to a low pressure spike occurring at a start of the given deployment event.

20 . The system of claim 15 , wherein determining that the given deployment event satisfies the pressure slope threshold further comprises:
determining that a first change in pressure values over time during a first deployment event satisfies a first pressure slope threshold; and determining that a second change in pressure values over time during a second deployment

Assignees

• Boeing Co

Inventors

• Nakhajavani Omid B
• Jackson Greg

Classifications

• B64C25/28 Primary

  with indicating or warning devices · CPC title

• B64C25/22

  fluid · CPC title

• F15B21/02

  Servomotor systems with program control derived from a store or timing device; Control devices therefor · CPC title

• F15B19/005 Primary

  Fault detection or monitoring · CPC title

• F15B2211/865

  Prevention of failures · CPC title