Method for monitoring a technical plant, in particular a process plant, wherein historical data of a process step that has already been repeatedly executed on the technical plant can be retrieved and evaluated, wherein the process step has a plurality of temporal sub-steps, comprising: a) Acquisition of manipulated variables, measured variables, decision variables and measurable disturbance variables which can be tapped as historical data of the technical plant in the framework of completed passes of the process step; b) Learning the previously acquired data in at least one self-organising map, wherein nodes of the self-organising map represent individual temporal sub-steps during the pass of the process step; c) Determination of a tolerance range for the manipulated variables, measured variables, decision variables and measurable disturbance variables for each node of the at least one self-organising map; d) Performance of a new pass of the process step on the technical plant and acquisition of the current manipulated variables, measured variables, decision variables and measurable disturbance variables; e) Determining a pass of the repeatedly executed process step, which, considered across all temporal sub-steps, has the smallest Euclidean distance, weighted by means of a Dynamic Time Warping method, compared with the newly performed pass of the process step; f) Determining the node of the self-organising map, which has the smallest Euclidean distance with respect to the pass of the repeatedly executed process step, in order to obtain one or more nodes, corresponding to the respective temporal sub-step, of the self-organising map for each temporal sub-step of the newly performed process step; g) Comparison of the newly performed process step with the self-organising map, as to whether each temporal sub-step of the newly performed process step is within the tolerance range of the respective corresponding node. a) Acquisition of manipulated variables, measured variables, decision variables and measurable disturbance variables which can be tapped as historical data of the technical plant in the framework of completed passes of the process step; b) Learning the previously acquired data in at least one self-organising map, wherein nodes of the self-organising map represent individual temporal sub-steps during the pass of the process step; c) Determination of a tolerance range for the manipulated variables, measured variables, decision variables and measurable disturbance variables for each node of the at least one self-organising map; d) Performance of a new pass of the process step on the technical plant and acquisition of the current manipulated variables, measured variables, decision variables and measurable disturbance variables; e) Determining a pass of the repeatedly executed process step, which, considered across all temporal sub-steps, has the smallest Euclidean distance, weighted by means of a Dynamic Time Warping method, compared with the newly performed pass of the process step; f) Determining the node of the self-organising map, which has the smallest Euclidean distance with respect to the pass of the repeatedly executed process step, in order to obtain one or more nodes, corresponding to the respective temporal sub-step, of the self-organising map for each temporal sub-step of the newly performed process step; g) Comparison of the newly performed process step with the self-organising map, as to whether each temporal sub-step of the newly performed process step is within the tolerance range of the respective corresponding node. <EOS>