Semi-closed control or fully closed control is selected as a control system for a joint using a motor configured to drive a joint of a robot arm via a reduction gear, an input-side encoder, and an output-side encoder, the semi-closed control being control in which an output of the input-side encoder is used, the fully closed control being control in which an output of the output-side encoder is used. A test run is performed plural times in which the robot arm is caused to perform a specific operation while semi-closed control is being performed on the joint, and semi-closed control or fully closed control is selected using outputs of the output-side encoder obtained in the test runs or in accordance with the content of a task that the robot arm is to be caused to perform.

A multi-engine power system is described that includes a load requiring a total amount of electrical power, a first engine configured to provide a first portion of the total amount of electrical power to be provided to the load, and a second engine configured to provide a second portion of the total amount of electrical power to be provided to the load. The system further includes a controller configured to determine the total amount of electrical power to be provided to the load, estimate a respective service time associated with each of the first and second engines, and control each of the first and second engines to provide the total amount of electrical power to the load and to coordinate the respective service times associated with the first and second engines.

According to a first aspect, the subject matter disclosed herein relates to a decision aid method for maintenance operations of aircraft equipment, the aircraft including a maintenance system arranged to make a record of equipment failure messages and of equipment failure warning messages emitted during a flight, the method comprising extracting at least one combination of failure messages corresponding to failure messages recorded by the maintenance system during a flight and a set of previous flights; determining, as a function of the at least one extracted combination, a probability of occurrence of at least one warning message possibly accompanied by one or more failure messages.

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.

A method of making a pressure bulkhead assembly of an aircraft includes determining an optimized position of splice angles such that splice surfaces of the splice angles will form a circumferential splice surface of the pressure bulkhead assembly with an optimized shape. The method further includes performing a virtual fit between the plurality of splice angles, at the optimized position, and an aft pressure bulkhead. The method also includes determining splice-angle-hole positions of splice-angle holes to be drilled in each one of the splice angles such that the splice-angle holes will correspond to aft-pressure-bulkhead holes, pre-drilled in the aft pressure bulkhead. The method further includes drilling the splice-angle holes in each one of the splice angles at the splice-angle-hole positions. The method also includes joining each one of the splice angles with the aft pressure bulkhead such that the splice surfaces form the circumferential splice surface with the optimized shape.

A method for making a pressure bulkhead assembly of an aircraft includes determining first locations and first orientations of a plurality of first holes, pre-drilled in an aft pressure bulkhead. The method also includes determining a first surface profile of a first interface surface of the aft pressure bulkhead and determining a second surface profile of a second interface surface of each one of a plurality of splice angles. The method also includes determining second locations and second orientations of a plurality of second holes to be drilled in each one of the plurality of splice angles corresponding to the plurality of first holes in the aft pressure bulkhead and drilling the plurality of second holes in each one of the plurality of splice angles at the second locations and second orientations.

A computer-implemented method. The method comprising: (a) obtaining a plurality of unique identifiers, each unique identifier being associated with a respective characterising code, each characterising code being indicative of character of an example of a same physical system; (b) accessing a database of characterising codes, and retrieving each respective characterising code; (c) determining a degree of similarity between each retrieved characterising code; and (d) providing, as an output, the determined degrees of similarity.

A computer-implemented method. The method comprising: (a) obtaining a candidate characterising code, the candidate characterising code being indicative of character of an example of a physical system; (b) accessing a database of extant characterising codes, the extant characterising codes being indicative of character of other examples of the physical system; (c) determining a degree of similarity between the candidate characterising code, and at least one of the extant characterising code; and (e) providing, as an output, the results of the comparison.

An attachment for an end effector. The attachment may include a clamp and a foot adhesively bonded to an edge of the clamp and having a set of interlocking features that form a mechanical interlock with the clamp.

The present invention discloses a method for fault diagnosis of the sensors and actuators of an aero-engine based on LFT, and belongs to the field of fault diagnosis of aero-engines. The method comprises: establishing an aero-engine state space model using a combination of a small perturbation method and a linear fitting method; establishing an affine parameter-dependent linear-parameter-varying (LPV) model of the aero-engine based on the model; converting the LPV model of the aero-engine having perturbation signals and sensor and actuator fault signals into a linear fractional transformation (LFT) structure to obtain an synthesis framework of an LPV fault estimator; solving a set of linear matrix inequalities (LMIs) to obtain the solution conditions of the fault estimator; and designing the fault estimator in combination with the LFT structure to realize fault diagnosis of the sensors and actuators of an aero-engine.