The invention relates to a method for monitoring at least one aircraft engine, said method including an acquisition (100) according to the first and second sets of measurements of respectively endogenous and exogenous variables. The method also includes: a normalization (200) of the measurements of the first set relative to the measurements of the second set, a generation (300) of a current model representative of the evolution of the behavior of the engine based on the normalized measurements, a detection (400) of potential abnormality in the behavior of the engine based on a comparison of the current model with a reference model, a generation (500) of a maintenance message, a transmission (600) of said ground message,
the acquisition, normalization, generation of a current model, the detection and generation of a maintenance message being made on board the aircraft.

This disclosure describes at least embodiments of an aircraft monitoring system for an electric or hybrid airplane. The aircraft monitoring system can be constructed to enable the electric or hybrid aircraft to pass certification requirements relating to a safety risk analysis. The aircraft monitoring system can have different subsystems for monitoring and alerting of failures of a component, such as a battery pack, a motor controller, and/or a motors. The failures that pose a greater safety risk may be monitored and indicated by one or more subsystems without use of programmable components.

One example includes a system control architecture that includes local control systems to provide respective condition signals associated with situational awareness conditions of an associated system architecture. A central system controller receives the condition signals, generates a control scheme for control of operational aspects of the associated system architecture based on the condition signals, and generates control signals based on the control scheme. The control scheme defines contributions of each of the local control systems to a control authority of each of the operational aspects. Operational components provide mechanical control of each of the operational aspects of the associated system architecture in response to the respective control signals to implement the control scheme. A control authority interface system provides an indication to a user of the respective contributions of the control authority of each of the respective local control systems to the operational aspects of the associated system architecture.

A test system for testing a control unit of a system includes a management server which is configured to provide predefined test instructions, a monitoring system, and a number of output units. The monitoring system is configured to convert test instructions provided by the management server into operating instructions for setting a test configuration on a control unit of a system using predefined assignment logic. The monitoring system is also configured to divide operating instructions for setting the test configuration into partial instructions for setting a partial configuration on the control unit and to temporally and/or logically classify the partial instructions. Respective output units of the number of output units are configured to output the partial instructions transmitted by the monitoring system.

A method of operating a communication adapter of a gas turbine engine of an aircraft includes receiving a plurality of time series data at the communication adapter from an engine control of the gas turbine engine. The method also includes recording a plurality of internal sensor data of an internal sensor system of the communication adapter. The method further includes correlating the time series data with the internal sensor data based on an alignment in time to form an enhanced data set and transmitting the enhanced data set from the communication adapter to an offboard system.

In an information processing method of an embodiment, a computer is configured to divide observation data into training data and test data, select non-target data from the training data, select a parameter combination from a parameter set corresponding to the non-target data, classify the non-target data as clusters in a feature space of the parameter combination under clustering setting conditions, generate, for each of the clusters, a model trained to output target data included in the training data when the non-target data of the clusters is input, and reselect the parameter combination or change the clustering setting conditions such that a difference between the target data output from the model and the target data of the test data decreases.

Systems and methods for manufacturing aircraft are disclosed. For example, a method for repetitively manufacturing aircraft comprises fractionally pulsing a constituent part down an assembly line by periodically advancing the constituent part down the assembly line by less than a length of the constituent part. The periodic advancing may include advancing the aircraft component by a pulse length that is less than the length of the aircraft component, stopping movement of the aircraft component for a duration and performing work on the aircraft component, and then advancing the aircraft component by the pulse length again. In another example, a method comprises determining a fractional pulse length to fractionally pulse one or more constituent parts of an aircraft based on one or more of a minimum workstation length of one or more assembly line workstations and a minimum section length of one or more work processes to be performed.

A wireless engine monitoring system for an aircraft engine includes a housing and wireless transceiver that receives engine data, including engine data relating to environmental engine emissions. A processor processes the engine data and generates an alarm report when the environmental engine emissions exceed a threshold.

An architecture for monitoring at least one aircraft. The architecture comprises an avionics system configured to generate avionics data during use of the aircraft; a mobile electronic device including an analysis unit configured to convert at least one maintenance operation into operational data; and an alerter configured to display at least one item of monitoring information; and a cloud computing infrastructure. The analysis unit and the alerter are configured to implement a local operating mode and an operating mode connected to the cloud computing infrastructure.

A method for monitoring a vehicle-borne probe includes receiving, by a first edge device in communication with the probe, sensed data related to a characteristic of a heating element of the probe, analyzing, by a first application of the first edge device, the sensed data to generate a first data output, receiving, by a coordinator in communication with the first edge device, the first data output, and incorporating the first data output into a data package, receiving, by a cloud infrastructure in communication with the coordinator, the data package via a data gateway, and analyzing, by one of the cloud infrastructure and a ground station, the data package to estimate a remaining useful life and a failure of the probe.