A milling device for milling an antenna structure out of the metal layer of a flexible product, while the product is being passed through a milling gap between a milling cutter and a die, using a light emitter to output a light strip that crosses through the milling gap in or transversely to a running direction of the product, wherein the light strip is dimensioned, and the milling cutter and the die are intended to be arranged, such that the milling cutter and the die shadow the light strip at the two longitudinal edges thereof, before a light receiver receives the light strip, and using the light receiver to output a signal that reproduces the width of the milling gap to a controller, and outputting an adjusting signal at least to an adjusting drive that influences the width of the milling gap between the milling cutter and the die.

A milling device for milling an antenna structure out of the metal layer of a flexible product, while the product is being passed through a milling gap between a milling cutter and a die, using a light emitter to output a light strip that crosses through the milling gap in or transversely to a running direction of the product, wherein the light strip is dimensioned, and the milling cutter and the die are intended to be arranged, such that the milling cutter and the die shadow the light strip at the two longitudinal edges thereof, before a light receiver receives the light strip, and using the light receiver to output a signal that reproduces the width of the milling gap to a controller, and outputting an adjusting signal at least to an adjusting drive that influences the width of the milling gap between the milling cutter and the die.

An object of the invention is to provide an abnormality detection device that can detect a processing abnormality of various types of software. The abnormality detection device according to the invention divides an output data series which is output by software into one or more clusters, determines that the output data included in any cluster is normal, and determines that the output data not included in any cluster is abnormal.

An object of the invention is to provide an abnormality detection device that can detect a processing abnormality of various types of software. The abnormality detection device according to the invention divides an output data series which is output by software into one or more clusters, determines that the output data included in any cluster is normal, and determines that the output data not included in any cluster is abnormal.