The Boeing Company

Stanley C Ofsthun

Timothy Joseph Wilmering

Seema Chopra

Rohit Kumar

Nazrul Bayen

Gurpreet Singh

Kevin L Swearingen

John G Wilson

Joseph R Herrmann

Kenneth D Bunch

Donald L Gartner

Man-Kit Au

Scott Hathaway

Belma A Johnson

A method is provided for use in maintenance of a vehicle. The method includes an onboard computer including an onboard reasoner diagnosing a failure mode onboard the vehicle using an onboard diagnostic model. The onboard reasoner further determines a service recommendation of a service action to address the failure mode. The method also includes an off-board computer including an off-board copy of the onboard reasoner receiving a measure of fix effectivity of the service action as performed to address the failure mode. The off-board copy diagnoses the failure mode or an alternate failure mode, from the measure of fix effectivity of the service action, and using an off-board copy of the onboard diagnostic model. Responsive to diagnosis of the alternate failure mode, the off-board copy determines a maintenance recommendation of a maintenance action to address the alternate failure mode, and generating a maintenance message including the maintenance recommendation.

Repeated diagnostic reasoner use throughout service and maintenance of a vehicle

A method is provided for maintaining an onboard reasoner for diagnosing failures on an aircraft that includes aircraft systems configured to report faults to the onboard reasoner. The method includes accessing diagnostic data received from an onboard computer of the aircraft that includes the onboard reasoner. An off-board reasoner builds an off-board diagnostic causal model that describes causal relationships between the failed tests and the diagnosed failure modes. The off-board diagnostic causal model is compared to the diagnostic data. Based thereon, a discrepancy is identified between the graph of the off-board diagnostic causal model, and the other graph of the onboard diagnostic causal model, to determine a new causal relationship relative to the known causal relationships. The onboard diagnostic causal model is updated to further describe the new causal relationship, including producing an updated model, and uploading the updated model to the onboard computer.

Closed-loop diagnostic model maturation for complex systems

A method is provided for diagnosing a failure on an aircraft that includes aircraft systems configured to report faults to an onboard reasoner. The method includes receiving a fault report at an onboard computer of the aircraft from an aircraft system of the aircraft systems, the fault report indicating failed tests reported by the aircraft system. The onboard reasoner accesses an onboard diagnostic causal model represented by a graph describing known causal relationships between possible failed tests reported by the respective ones of the aircraft systems, and possible failure modes of the respective ones of the aircraft systems. The onboard reasoner diagnoses a failure mode of the aircraft system or another of the aircraft systems, from the failed tests, and using a graph-theoretic algorithm and the onboard diagnostic causal model. A maintenance action is determined for the failure mode, and a maintenance message is generated including the maintenance action.

Onboard diagnosis and correlation of failure data to maintenance actions

A real time health management analytical system and method that enables a plurality of plug-in tools and extension tools to be interfaced with a central database, and for enabling information to be published to the database from each of the client tools, as well as data to be read from the database by each of the client tools. The system makes use of an engineering model views module that provides a syntactic and semantic interface between the client tools and the central database so that health management data communicated to the client tools is presented in accordance with a specific view required by each specific client tool. An integrated support information model (ISIM) module is interposed between the data base and the engineering model views module, and forms a specification (e.g., an ontology) for all health domain information available for use by the client tools.

Support model integration system and method

Growing community of inventors

O'Fallon, MO, United States of America

Stanley C Ofsthun