American Airlines, Inc.

Mei Zhang

Steven James Oakley

Jose Antonio Ramirez-Hernandez

Ou Bai

Su-Hsia Yang

Supreet Reddy Mandala

Louis Matthew Pfeifer

Nancy Lee Lillo

Ning Xu

Tuell Coleman Green

Shau-Shiang Sunny Ja

June Ma

Sameer Anand

Pengcheng Zhang

Arunprakash Dhanabal

Hadi W Purnomo

Alejandro Edgardo Scalise

Tze-Yun Lin

Noonu Joseph Alummoottil

Hadi Pumomo

Linda Norfleet

Jerilynn Daykin

Tim Towns

Roger Louis Slakey

A system according to which a network of physical sensors are configured to detect and track the performance of aircraft engines. The physical sensors are placed in specific locations to detect an exhaust gas temperature, vibration, speed, oil pressure, and fuel flow for each aircraft engine. The performance of each aircraft engine is then viewed in combination with oil consumption associated with that aircraft engine and the routine maintenance program associated with that aircraft engine to route the aircraft and move the aircraft, in accordance with the routing, to a specific location. The sensors efficiently track the performance and physical condition of the engines. Moreover, a listing of identified 'at-risk' engines is displayed on a screen of a GUI in a manner that allows for easy navigation and display. Data point(s) that triggered the identification of each “at-risk” engine are easily accessible and viewable.

Method and system of predicting maintenance events using machine learning model(s) and a training data set

A system according to which a network of physical sensors are configured to detect and track the performance of aircraft engines. The physical sensors are placed in specific locations to detect an exhaust gas temperature, vibration, speed, oil pressure, and fuel flow for each aircraft engine. The performance of each aircraft engine is then viewed in combination with oil consumption associated with that aircraft engine and the routine maintenance program associated with that aircraft engine to route the aircraft and move the aircraft, in accordance with the routing, to a specific location. The sensors efficiently track the performance and physical condition of the engines. Moreover, a listing of identified 'at-risk' engines is displayed on a screen of a GUI in a manner that allows for easy navigation and display. Data point(s) that triggered the identification of each 'at-risk' engine are easily accessible and viewable.

Predictive sensor system for aircraft engines with graphical user interface

A system and method for managing maintenance items within a transportation system according to which a workload assignment is generated. The transportation system includes an aircraft fleet and the method includes presenting a window on a graphical user interface and receiving a request to complete a maintenance item via the window. The window includes a number of selection boxes, drop-down menus, and text boxes configured to receive the request to complete the maintenance item.

System and method for managing maintenance items within a transportation system

A system and method for optimally managing aircraft assets according to which a maintenance activity, costs, and aircraft asset deposition are addressed. In one embodiment, the aircraft assets are aircraft and/or engines.

System and method for optimally managing aircraft assets

A system and method according to which a recommended quantity of spare engine components is generated. In several exemplary embodiments, the components support aircraft maintenance and flight operations and are designed to be repaired periodically. In an exemplary embodiment, the recommended quantity is a number of available spare engine components that supports the aircraft maintenance operations but avoids excess spare engine components in inventory.

Spare component ownership planning system and method

A system and method for aircraft maintenance planning according to which an optimized bill of work is generated for a line maintenance station at which one or more airplanes are parked or are expected to be parked.

Optimized bill of work for aircraft maintenance based on task prioritization and time slot proximity analysis

A system and method for inventory management is provided. An indication of a removal of a first resource at a first location is received, and a risk value associated with the first resource at the location is calculated. A determination is made if the risk value is less than a predetermined threshold, and a request to transfer a second resource from a second location to the first location is generated.

System and method for inventory management and distribution

Growing community of inventors

Lewisville, TX, United States of America

Mei Zhang