The Boeing Company

Greg Jackson

Darren Puigh

Omid B Nakhjavani

Changzhou Wang

Franz David Betz

Jun Yuan

James Schimert

Andrey Aleksandrovich Zaikin

Sean Patrick Warlick

Steven C Runo

Omid B Nakhajavani

Ryan K Coleman

A diagnostic system for a closed fluid system is provided. The closed fluid system includes a first fluid subsystem and a second fluid subsystem connected using a valve or valve/actuator. The diagnostic system includes a first sensor disposed in the first fluid subsystem, a second sensor disposed in the second fluid subsystem and a computer. The computer receives first time-ordered fluid level measurements and second time-ordered fluid level measurements from respectively the first sensor and the second sensor and performs a comparison of first fluid level of the first fluid subsystem and second fluid level of the second fluid subsystem. The computer produces a notification indicating a predicted transfer of hydraulic fluid when the first time-ordered fluid level measurements and the second time-ordered fluid level measurements have at least a threshold divergence and outputs the notification for display to a user.

Diagnostic system for a closed fluid system

A method for performing an operation on a flight sensor parameter includes receiving instructions indicating a description of a flight sensor parameter and an operation to be performed on the flight sensor parameter. The method includes generating executable code based on the instructions indicating the description and the operation. The method includes, after generating the executable code, associating the executable code with flight sensor data from one or more sensors. The flight sensor parameter includes a variable of the flight sensor data. The method further includes executing the executable code at a processor using the flight sensor data as an input to generate an output that indicates results of the operation.

System and method for performing operations on flight sensor data

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.

Fault prediction in hydraulic systems

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Seattle, WA, United States of America

Greg Jackson