Abstract:
Systems and methods for correlating and tagging asset-related data streams, such as multiple streams of aviation-related data, are provided. More particularly, systems and methods can be used to provide one or more portions of asset-related data as input text to a natural language processing engine to identify one or more data entities within the asset-related data streams. One or more processing rules can be generated for applying information in the form of tagging keywords and/or data entity relationships to the data entities. The one or more processing rules can be stored as part of a statistical model for evaluating subsequent portions of asset-related data and providing analyzed data and generated tags/relationships for display to a user.
Abstract:
System and method of identifying a fault in an aircraft having at least one monitored system, including receiving operational data for the at least one monitored system during at least a portion of a flight, receiving user input data from a user input corresponding to the operation of the at least one monitored system, and identifying an actual fault condition, by a controller, when the user input data is determined to be symptomatic of the identified possible fault condition.
Abstract:
Systems and methods for formatting aviation data for improved aircraft fault detection, diagnosis, and maintenance are provided. One example method includes determining a plurality of available parameters associated with an aircraft. The method includes matching the plurality of available parameters against a plurality of desired parameters to identify a plurality of matched parameters that are both desired and available. The plurality of matched parameters are useful to perform fault diagnosis and prognosis for the aircraft. The method includes determining a priority level for each of the plurality of matched parameters. The method includes creating a standardized maintenance-optimized data frame configuration based at least in part on the plurality of matched parameters and the priority level for each of the plurality of matched parameters.
Abstract:
An airline operations system, controller and method reschedules flights affected by a disruption that precludes a planned schedule for the flights. The method includes obtaining data related to a scheduled origination and a scheduled destination for each of a set of passengers scheduled on the flights, generating a passenger connection network of connections between the scheduled origination and the scheduled destination for a subset of the set of passengers, applying at least one criterion to the passenger connection network and rescheduling at least one connecting flight based on the criteria. The system and controller solves a network flow problem to reschedule a subset of connecting flights to have a delayed projected departure time. Resulting output can include the set of delayed flights along with modified projected departure times, a set of flight cancellations and a set of passengers with missed connections.
Abstract:
An airline operations system, controller and method reschedules flights affected by a disruption that precludes a planned schedule for the flights. The method includes obtaining data related to a scheduled origination and a scheduled destination for each of a set of passengers scheduled on the flights, generating a passenger connection network of connections between the scheduled origination and the scheduled destination for a subset of the set of passengers, applying at least one criterion to the passenger connection network and rescheduling at least one connecting flight based on the criteria. The system and controller solves a network flow problem to reschedule a subset of connecting flights to have a delayed projected departure time. Resulting output can include the set of delayed flights along with modified projected departure times, a set of flight cancellations and a set of passengers with missed connections.
Abstract:
An airline operations system, controller and method reschedules flights affected by a disruption that precludes a planned schedule for the flights. The method includes obtaining data related to a scheduled origination and a scheduled destination for each of a set of passengers scheduled on the flights, generating a passenger connection network of connections between the scheduled origination and the scheduled destination for a subset of the set of passengers, applying at least one criterion to the passenger connection network and rescheduling at least one connecting flight based on the criteria. The system and controller solves a network flow problem to reschedule a subset of connecting flights to have a delayed projected departure time. Resulting output can include the set of delayed flights along with modified projected departure times, a set of flight cancellations and a set of passengers with missed connections.
Abstract:
A method of predicting a fault in an air-conditioning pack of an aircraft is disclosed. The air-conditioning pack includes one or more sensors outputting data related to air-conditioning pack temperature, air-conditioning pack pressure, or air-conditioning pack valve or actuator positions. The method includes transmitting data from at least one of the sensors operably coupled to the air-conditioning pack, comparing the transmitted data to a predetermined threshold, and predicting a fault in the air-conditioning pack based thereon.
Abstract:
Methods of determining an overall performance of air-conditioning system(s) are disclosed. The methods include transmitting data from a sensor operably coupled to at least one air-conditioning pack, comparing the transmitted data, determining an overall performance of the air-conditioning system(s) based on the comparing, and providing an indication of the determined overall performance of the air-conditioning system(s).
Abstract:
A method of predicting a fault in a cabin temperature control system of an air-conditioning system of an aircraft is disclosed. The method includes transmitting data related to a temperature, pressure, valve position, or actuator position of the cabin temperature control system, comparing the transmitted data to a reference value, and predicting a fault in the cabin temperature control system based on the comparing.