PENDING
Please predict whether this patent is acceptable.PATENT ABSTRACT: Improved identification of a process anomaly in a technical facility includes training a self-organizing map using the historical process data as good states of the facility. The good states are used to determine a temporal sequence or a path of node hits and the tolerances of neuron hits. Threshold values are determined and stored for a Euclidean distance for the good states. The Euclidean distance of a current state vector to the neuron hit is checked as to whether the threshold value has been exceeded. The path determined is used to determine the neuron to be hit as long as the threshold value was not already exceeded in the check on the relevant neuron. A symptom vector from the current state vector and either the neuron hit or the neuron that is to be hit is determined.