In an example, a method for identifying associated events in an aircraft is described. The method includes obtaining sensor data, obtaining fault code data, generating a set of events, where each event occurs over a time interval over which either (i) the sensor data indicates an anomalous measurement or (ii) a fault code associated with a particular aircraft subsystem of the aircraft was signaled, calculating a value of statistical dependence between the set, based on the value exceeding a threshold, constructing a network representing the set as a sequence of related events and further representing a temporal order in which the sequence occurred, indexing, in a summary table stored in memory and separate from the sensor data and the fault code data, the sequence and the value, and controlling a display device to display the summary table and a visual representation of the network.

A method for an automated aircraft landing analysis including: receiving one or more aircraft landing performance parameters for one or more landing phases; determining a landing performance deviation for each of the one or more landing phases in response to the one or more aircraft landing performance parameters; identifying at least one of a system fault, a failure, and a pilot error that could have led to the landing performance deviations for each of the one or more landing phases; developing a fault tree for the landing performance deviations for each of the one or more landing phases; identifying measurable parameters, calculable parameters, inferable parameters, or observable parameters within the fault tree; converting the fault tree into a high level reasoning model using a standard inference methodology; performing a root cause analysis; identifying a root cause of the landing performance deviation; and displaying the root cause of landing performance deviation.

A device may receive one or more images that depict one or more shapes associated with a first object that includes a portal. The device may identify, based on the one or more images, one or more characteristics of the one or more shapes. The device may determine, based on the one or more characteristics of the one or more shapes, one or more attributes of the portal. The device may determine, based on the one or more attributes of the portal, positioning information to be used to position a second object relative to the portal of the first object. The device may output, based on the positioning information, one or more control signals associated with positioning the second object relative to the portal.

An advisory system of a vessel that monitors variables of a vessel system inclusive of systems and subsystems that are used to operate the vessel. The advisory system may use machine-learning to learn from an operator (i) whether or not two variables are related to one another, and (ii) likelihood that a variable will reach a threshold, and, optionally, time until reaching the threshold. The system may receive operator feedback (i) to indicate whether the two variables are related to one another, and (ii) whether a behavior of the variable is normal or not normal. Thereafter, if a determination that the same two variables are related to one another and behaving in a similar manner, provide notification to the operator of the behavior. In response to determining that the variable is behaving (e.g., trending) in a similar manner that is not normal, providing a notification to the operator.

A control system for a gas turbine engine is disclosed. In embodiments, control system includes a controller and a high speed recorder. The controller obtains a sensor value from a sensor connected to the gas turbine engine and publishes a tag that includes the type of event, the sensor value, and a timestamp. The high speed recorder checks the tag for an overspeed event. If an overspeed event is detected, the high speed recorder records values provided by the tag.

A remaining tire tread depth management system includes a remaining tire tread depth measurement device configured to measure a remaining tread depth of at least one of aircraft tires mounted on an aircraft, a tire wear amount estimation device configured to estimate a wear amount of all of the aircraft tires mounted on the aircraft including the aircraft tires, and a tire management server configured to estimate a remaining tread depth and a number of available flight times of all of the aircraft tires in accordance with measurement data output from the remaining tire tread depth measurement device and estimation data output from the tire wear amount estimation device.

A method for monitoring an aircraft engine vane wheel (22), which includes: acquiring at least one time signal relative to moments when the vane wheel blades (23) pass in front of a sensor (21); determining a common flight phase of the aircraft; for each flight in a series of flights of the aircraft, correlating at least part of each time signal with a predetermined flight phase; and for each blade (23), each flight, and each predetermined flight phase, measuring the mean position (24C), the so-called balance position, of the top of the blade. The invention also relates to a device for implementing such a method. One advantage of the invention is providing a diagnosis of the blades using a small number of sensors and low computing power.

A method and apparatus for building an assembly fixture for holding a fuselage assembly. A number of cradle fixtures may be driven across a floor to an assembly area. The number of cradle fixtures may be configured to form the assembly fixture.

A method and apparatus for adjusting an adjustable retaining structure. The adjustable retaining structure may be rotated, passively, about a spherical interface as a panel applies a load to the adjustable retaining structure.

A fault detection circuit includes a system controller and a fault detection controller. The system controller includes at least one memory device to control at least one electrical system. The fault detection controller communicates with the system controller to detect at least one fault of the system controller and to control operation of the system controller based on comparison between a frequency of detected faults corresponding to the system controller and at least one frequency threshold value.