The Boeing Company

Paul Allen Kesler

Robert Daniel Kalinowski

Kevin M Arrow

John Lyle Vian

Scott Randall Greene

William E Wojczyk, Jr

Dan L Hagrman

Bob Kalinowski

A system aggregates data related to a non-conformance system in an aircraft and allocates resources to repairing the non-conformance condition. The system includes a service bus that receives and distributes the non-conformance condition and an optimizer tool that generates repair alternatives. The optimizer tool allows dynamic reconfiguration of rules to activate and deactivate or change a weight of individual rules in a rule set.

Aircraft non-periodic maintenance scheduling system

The advantageous embodiments provide an apparatus for identifying anomalies on an object comprising a sensor system and an analysis process. The sensor system is configured to detect a presence of the object, identify a speed of travel for the object, and determine a scan rate for the object using the speed of travel to generate scan results. The analysis process is configured to analyze the scan results and determine whether a number of maintenance anomalies are detected on the object using the scan results.

Automated postflight troubleshooting sensor array

The advantageous embodiments provide a method for identifying anomalies on an object. The advantageous embodiments detect a presence of the object in a control area using a sensor system. In response to detecting the presence of the object in the control area, the object is identified using the sensor system. Scan priorities are identified for the object using the sensor system. The object is scanned while the object is within the control area to form scan results. The scan results are analyzed and a determination is made as to whether a number of maintenance anomalies are detected on the object using the scan results.

Automated postflight troubleshooting

Described herein is an apparatus that includes a disruption severity module and flight recommendation module. The disruption severity module calculates a disruption severity index value associated with an unscheduled maintenance event of an aircraft. The disruption severity index value is calculated based on a plurality of flight operation factors affected by the unscheduled maintenance event. The flight recommendation module recommends one of resolving the unscheduled maintenance event of the aircraft before a subsequent flight of the aircraft or flying the aircraft without resolving the unscheduled maintenance event of the aircraft based on the disruption severity index value.

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Arlington, VA, United States of America

Paul Allen Kesler