A method for identifying a fault of a component (2a, 2b, 4a - 4h) of a technical system having a diagnostic device, the technical system comprising a plurality of components (2a, 2b, 4a - 4h), wherein the plurality of components (2a, 2b, 4a - 4h) includes one or more groups of components (2a, 2b, 4a - 4h) of a same type, the method comprising: - receiving event data of the plurality of components (2a, 2b, 4a - 4h) over a predetermined observation period, wherein the predetermined observation period comprises a plurality of time intervals of predetermined length, and the event data of each of the plurality of components (2a, 2b, 4a - 4h) comprises a number of detected errors of a component (2a, 2b, 4a - 4h) per time interval over the predetermined observation period, - performing at least one regression analysis of event data of a group of components (2a, 2b, 4a - 4h) of the same type, the event data of each component (2a, 2b, 4a - 4h) of the group of components (2a, 2b, 4a - 4h) being determined under same environmental conditions, - determining residual values of event data of at least one component (2a, 2b, 4a - 4h) of the group of components (2a, 2b, 4a - 4h), and - identifying a fault of the at least one component (2a, 2b, 4a - 4h) of the group of components (2a, 2b, 4a - 4h) depending on the determined residual values. the technical system comprising a plurality of components (2a, 2b, 4a - 4h), wherein the plurality of components (2a, 2b, 4a - 4h) includes one or more groups of components (2a, 2b, 4a - 4h) of a same type, the method comprising: - receiving event data of the plurality of components (2a, 2b, 4a - 4h) over a predetermined observation period, wherein the predetermined observation period comprises a plurality of time intervals of predetermined length, and the event data of each of the plurality of components (2a, 2b, 4a - 4h) comprises a number of detected errors of a component (2a, 2b, 4a - 4h) per time interval over the predetermined observation period, - performing at least one regression analysis of event data of a group of components (2a, 2b, 4a - 4h) of the same type, the event data of each component (2a, 2b, 4a - 4h) of the group of components (2a, 2b, 4a - 4h) being determined under same environmental conditions, - determining residual values of event data of at least one component (2a, 2b, 4a - 4h) of the group of components (2a, 2b, 4a - 4h), and - identifying a fault of the at least one component (2a, 2b, 4a - 4h) of the group of components (2a, 2b, 4a - 4h) depending on the determined residual values. - receiving event data of the plurality of components (2a, 2b, 4a - 4h) over a predetermined observation period, wherein the predetermined observation period comprises a plurality of time intervals of predetermined length, and the event data of each of the plurality of components (2a, 2b, 4a - 4h) comprises a number of detected errors of a component (2a, 2b, 4a - 4h) per time interval over the predetermined observation period, - performing at least one regression analysis of event data of a group of components (2a, 2b, 4a - 4h) of the same type, the event data of each component (2a, 2b, 4a - 4h) of the group of components (2a, 2b, 4a - 4h) being determined under same environmental conditions, - determining residual values of event data of at least one component (2a, 2b, 4a - 4h) of the group of components (2a, 2b, 4a - 4h), and - identifying a fault of the at least one component (2a, 2b, 4a - 4h) of the group of components (2a, 2b, 4a - 4h) depending on the determined residual values.