1. A method for teaching an anomaly detecting mechanism in a system comprising observable elements, at least one of which has a periodic time-dependent behaviour, the anomaly detecting mechanism comprising a computerized learning mechanism having an input space for defining input data consisting of input data components; the method comprising the following steps: assembling indicators indicating the behaviour of the observable elements and arranging the assembled indicators such that each observable element's indicators are assigned to the same input data component; teaching the learning mechanism such that the input data of the learning mechanism comprises the input data components which are based on the assembled indicators; and placing points which approximate the input data in the input space; incorporating a presentation of time into at least one input data component; wherein the presentation of time is periodic, continuous and unambiguous within the period of the at least one element with periodic time-dependent behaviour.