Abstract: A method includes storing technical models in a network-accessible model repository. Each technical model is labeled with descriptive metadata and comprises one or more model views labeled with functional metadata. A request is received from a stakeholder device, the request specifying descriptive attributes and functional attributes applied to an associated stakeholder. Technical model(s) are retrieved based on the descriptive metadata labelling the retrieved technical models being determined to satisfy the descriptive attributes included in the request. For each retrieved technical model, one or more model views are compiled based on the functional metadata labelling the compiled model view being determined to satisfy the functional attributes included in the request.

Abstract: A computing device, method and computer program product are provided in order to develop a system model. In a method, a simulation model is designed that is configured to digitally simulate a corresponding portion of a system. The method also includes associating a simulation assessment module with the simulation model. The simulation assessment module is configured to verify one or more signals propagating within the simulation model. In an instance in which the simulation assessment module has verified the one or more signals, the method includes performing a unit test upon the simulation model to confirm proper operation of the simulation model. In an instance in which the unit test is successful, the method includes integrating a plurality of simulation models to form the system model.

Abstract: Methods of determining a recommended cruise altitude for a flight plan of an aircraft, flight management systems that perform the methods, and/or aircraft that include the flight management systems are disclosed herein. The methods are computer-implemented methods and include receiving flight plan information regarding the flight plan with a flight management system of the aircraft and electronically determining the recommended cruise altitude for the aircraft utilizing the flight management system and based, at least in part, on the flight plan information and a cruise altitude regulation database that regulates cruise altitude within the flight plan of the aircraft. The flight management system includes a logic unit programmed to perform the methods and a display unit configured to display the recommended cruise altitude for the aircraft to a crew member of the aircraft. The aircraft include a fuselage, a wing, an engine, and the flight management system.

Abstract: A method for automatic generation of integrated test procedures using system test procedures includes generating a system test case for each system model of a plurality of system models. The method also includes automatically generating an integrated test harness including a group of interacting system models of the plurality of system models. An output signal from one or more of the interacting system models is an input signal to one or more other interacting system models. The method additionally includes automatically generating an integrated test case for each system model in the integrated test harness and automatically running the integrated test case using an integrated test procedure. The method further includes generating an integrated test procedure coverage report in response to running the integrated test case.

Abstract: A method includes storing technical models in a network-accessible model repository. Each technical model is labeled with descriptive metadata and comprises one or more model views labeled with functional metadata. A request is received from a stakeholder device, the request specifying descriptive attributes and functional attributes applied to an associated stakeholder. Technical model(s) are retrieved based on the descriptive metadata labelling the retrieved technical models being determined to satisfy the descriptive attributes included in the request. For each retrieved technical model, one or more model views are compiled based on the functional metadata labelling the compiled model view being determined to satisfy the functional attributes included in the request.

Abstract: A computing device, method and computer program product are provided in order to develop a system model. In a method, a simulation model is designed that is configured to digitally simulate a corresponding portion of a system. The method also includes associating a simulation assessment module with the simulation model. The simulation assessment module is configured to verify one or more signals propagating within the simulation model. In an instance in which the simulation assessment module has verified the one or more signals, the method includes performing a unit test upon the simulation model to confirm proper operation of the simulation model. In an instance in which the unit test is successful, the method includes integrating a plurality of simulation models to form the system model.

Abstract: A method, node, and computer-readable medium are provided to convert a proprietary model to a tool-agnostic surrogate model using a functional mockup interface (FMI) standard. A proprietary model is received as a functional-mockup unit (FMU) An automated dataset generation is performed on the FMU to create input/output datasets based on design of experiments and input requirements. Steady-state operational-points are determined. The tool-agnostic surrogate model is generated based on the input/output datasets and the steady-state operational-points. The tool-agnostic surrogate model is output as an output FMU model that is free of licensing requirements of a license for the proprietary model. The tool-agnostic surrogate model may be a steady-state surrogate model, a dynamic surrogate model, or a combination thereof.

Abstract: A method for air separation module management includes determining an amount of nitrogen-enriched-air to be supplied to each fuel tank of a plurality of fuel tanks of an aircraft. The method also includes evaluating a status and usage of each air separation module of a plurality of air separation modules onboard the aircraft. The method additionally includes determining an optimal distribution of workload among the plurality of air separation modules based on the amount of the nitrogen-enriched-air to be supplied to each fuel tank and the status and usage of each air separation module. The method further includes regulating a valve associated with each air separation module or a group of air separation modules based on the optimal distribution of workload to each air separation module.

Abstract: A device for pilot evaluation during aircraft operation includes a memory, an interface, and one or more processors. The memory is configured to store at least one computational model of at least one human sensory system. The interface is configured to receive sensor data and aircraft state data of an aircraft. The sensor data includes pilot activity data and motion data. The one or more processors are configured to process the motion data and the pilot activity data based on the at least one computational model to predict a pilot estimated aircraft state. The one or more processors are configured to determine an estimated error based on a comparison of the pilot estimated aircraft state and a detected aircraft state. The aircraft state data indicates the detected aircraft state. The one or more processors are configured to selectively activate a notification based, at least in part, on the estimated error.

Abstract: A device for pilot training includes a memory, an interface, and one or more processors. The memory is configured to store at least one computational model of at least one human sensory system. The interface is configured to receive sensor data and aircraft state data from a flight simulator. The sensor data includes pilot activity data and motion data. The motion data is indicative of detected motion of a simulated aircraft of the flight simulator. The processor(s) are configured to process the motion data and the pilot activity data based on the at least one computational model to predict a pilot estimated aircraft state. The processor(s) are configured to determine an estimated error based on a comparison of the pilot estimated aircraft state and a detected aircraft state. The aircraft state data indicates the detected aircraft state. The processor(s) are configured to provide the estimated error to a second device.