Abstract: A first parameter is detected on a fast moving strip or yarn with a wave field, and a first signal indicating potentially present contaminants or impurities is generated. This first parameter preferably detects reflection properties that can be detected on the surface of the product. A further parameter is detected on the strip or yarn in a field, and a second signal is generated which also indicates contaminants or impurities. This second parameter preferably detects properties such as mass or diameter of the yarn or strip. Evaluations of the first signal and the second signal that occur at the same location on the product are considered together, and labeled to indicate the specific type of impurity or contaminant that they represent. Using empirical analysis, evaluation specifications can be selected to identify a group of impurities which are most likely to include a specific impurity of interest, e.g. non-vegetable contaminants.

Abstract: A first parameter is detected on a fast moving strip or yarn with a wave field, and a first signal indicating potentially present contaminants or impurities is generated. This first parameter preferably detects reflection properties that can be detected on the surface of the product. A further parameter is detected on the strip or yarn in a field, and a second signal is generated which also indicates contaminants or impurities. This second parameter preferably detects properties such as mass or diameter of the yarn or strip. Evaluations of the first signal and the second signal that occur at the same location on the product are considered together, and labeled to indicate the specific type of impurity or contaminant that they represent. Using empirical analysis, evaluation specifications can be selected to identify a group of impurities which are most likely to include a specific impurity of interest, e.g. non-vegetable contaminants.

Abstract: The invention relates to the field of control of textile machinery which enables optimal control of fiber processing machinery to achieve a target operating point. The method optimizes the processing of fibers by determining a machinery model which simulates a fiber processing machine and introduces to the model different parameters related to the machinery and the input fibers to create optimized settings for the parameters of the machinery and the input fibers for the desired output. These optimal settings are introduced to the machinery and the inputted fibers to process the fibers to achieve the desired output.

Abstract: A number of individual samples from a batch of textile material are tested in the form of a test series. During each test series, at least one type of data obtained for each individual sample is stored digitally, and after n individual samples have been tested this data is displayed in the form of a collective chart containing n suitably arranged individual curves. This type of display does away with the use of a chart recorder with its known disadvantages and enables a printer to be used. Also, since the data can be displayed in the form of a collective chart, pauses between individual measurements, which would otherwise occur due to the relatively low printing speed of the printer, and which would greatly reduce the output of the test installation, do not occur.