Abstract: A storage device is disclosed and is characterized in that the data to be stored therein can be automatically and repeatedly stored in the device and/or in that additional information dependent on the data to be stored therein can be generated and stored in addition to the data to be stored and/or in that the data to be stored can be consecutively read under different conditions. Thus, the data originally stored in the storage device can be rapidly and easily reconstructed.

Abstract: A method of monitoring and/or controlling machining plans having time-dependent machining parameters includes measuring desired time-dependent machining parameters as a measured curve, generating time-independent numerical values from the measured machining parameters, and entering the time-independent numerical values into a classifier distinguishing between normal states of the machining plant and abnormal states of the machining plant. Training vectors regarded as abnormal can be filtered out from training vectors available by determining a distance of each training vector from every other training vector with a selected measure of distance for filtering of the abnormal training vectors, the training vectors having components made of time-independent numerical values, and the classifier can be trained with training vectors.