Abstract: A method for the at least partially automated diagnosis of aircraft gas turbine engines includes the steps of: 1) detecting actual parameter values of an aircraft gas turbine engine for several operational segments 2) determining deviations, of these actual parameter values from theoretical parameter values; and 3) determining damage pattern probabilities based on a similarity of at least one determined deviation, particularly based on a change between determined deviations, to deviation patterns of different known damage patterns.

Abstract: The present invention relates to a method for the at least partially automated diagnosis of aircraft gas turbine engines having the steps of: 1) detecting (S10) actual parameter values (NH, EGT) of an aircraft gas turbine engine for several operational segments (z1, z2, . . . ); 2) determining (S20) deviations (?NH, ?EGT), of these actual parameter values from theoretical parameter values; and 3) determining (S40) damage pattern probabilities (P(HPC), P(LPC)) based on a similarity of at least one determined deviation, particularly based on a change (?) between determined deviations (?), to deviation patterns (?NH, ?EGT) of different known damage patterns.

Abstract: A method and apparatus for coating a workpiece is disclosed. A material is applied to the workpiece by thermal spray coating. The spraying process is monitored on-line by detecting properties of the particles in the spray jet and supplying them as actual values, where the actual values are compared directly with target values, or characteristic quantities derived from the actual values are compared with the target values and, when a deviation is found between the actual values or characteristic quantities and the pre-specified target values, the process parameters for thermal spray coating are automatically adjusted by a regulator on the basis of a neuronal network.