Carl Zeiss Industrielle Messtechnik Gmbh

Oliver Rüger

Daniel Görsch

Miroslawa Lukawska

Özgür Emir

Nadine Albrecht

A method evaluates a sample of measurement data from measuring multiple workpieces by at least one coordinate measuring machine. A system of statistical distributions describes a frequency of measurement data values. The distributions are distinguishable based on skewness and kurtosis. The method includes defining a set of statistical distributions that are able to describe a frequency of measurement data values in the entire value interval from the system of statistical distributions for a value interval of the measurement data, which is a specified value interval or a value interval of the measurement data actually arising in the sample. The method includes ascertaining the skewness and the kurtosis from the sample of measurement data corresponding to a first statistical distribution. The method includes checking, using the ascertained moment values, whether the defined set contains a statistical distribution that has the ascertained skewness and kurtosis, and producing a corresponding test result.

Coordinate measuring machine measurement and analysis of multiple workpieces

A method for evaluating measurement data from a measurement of a plurality of workpieces includes obtaining a set of measurement data. Each workpiece has an associated set of measurement data. The set of measurement data corresponds to measurement points of the workpieces. The set of measurement data has, for each measurement point of the workpieces, at least one measured coordinate and/or, for each measured coordinate, a divergence from a comparison coordinate. The method includes determining a measure of the correlation of the measured coordinates and/or of the divergences is determined for a plurality of the sets of measurement data, in each case in relation to a pair of measurement points that consists of two measurement points of the workpieces.

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Dresden, Germany

Oliver Rüger