Abstract: A device for the simulation of spinning machines with a view to their optimum economic use and operation. Starting from material properties of a preproduct (1) determined by measurement, as well as from configuration and setting parameters (3) of such a spinning machine, material properties (2) of the intermediate or output products which are being produced, which properties can be determined by measurement, are predicted using a process model describing the behavior of the spinning machine, by a simulation device. The process model on which a method being based is presented by a neural network. The coefficients determining the actual behavior of this neural network area calculated from a set of sample data in a training phase. This sample data and/or from otherwise conclusively predicted properties of the behavior of such a spinning machine.

Abstract: The invention relates to a method and a device for detecting impurities (F) in a fiber stream (1) of mainly textile fibers, wherein the fiber stream and at least one reference quantity (15) are artificially visually sensed. To enable even impurities which are difficult to detect to be removed with improved efficiency, the reference quantity is to be adapted at least periodically.

Abstract: The invention relates to a method and an apparatus for recording causes of faults in products, in which the faults are recorded and counted. The recorded faults are represented according to selected parameters, so that a fault pattern is obtained. From this, a reference to the cause of the fault is produced.

Abstract: The system contains measurement elements (MK) associated with the workstations, and means (PC) for evaluating the signals supplied by the measurement elements (MK), characteristic parameters being obtained during the evaluation for the individual workstations and analyzed for significant deviations from the corresponding desired values. The desired values are formed from the behavior of a statistically comparable collective. At the beginning of each monitoring operation generalized start values are used for the individual desired values, which are converted during the course of the monitoring into more accurate, absolute values. These are updated continuously and form the core data for an automatic inference process. Consequently, the method of functioning of the system, which can be employed in particular in winding rooms for monitoring automatic spoolers, is automatic and objective, and the evaluation of the measurement results becomes independent of the interpretation of the operating personnel.

Abstract: Method for the simultaneous monitoring of yarn quality on a number of similar monitoring points of a textile machine, in which each monitoring point uses one measuring element together with the processors assigned to the measuring elements for processing the pulses supplied by the measuring elements, whereby the various data processing stages for the individual monitoring points run at different rates of repeat. Each group of several measuring elements is allocated to a common processor and the pulse procesing stages with the same rates of repeat are grouped into classes and the rate of running these classes is so controlled that with respect to the individual monitoring points, the relevant data processing stages are repeated approximately periodically.

Abstract: The length of fabric is scanned continuously directly at the weaving machine and any defective variations from the texture judged to be normal are determined and displayed. Scanning is performed by an electrical-optical scanning head traversing across the width of the cloth and in the evaluation of the signals of the scanning head those signals are preferentially treated which represent an excessive variation from a specified size or number, or which have a certain periodicity. The variations of the type mentioned are representative of warp stripes and weft bars and consequently are very serious cloth faults. These cloth faults can now by means of scanning be detected directly at the weaving machine sufficiently early for corrective action to be taken in the weaving process before large quantities of fabric are produced with these faults. Thereby the occurrence of fabric of inferior quality is at least considerably reduced.

Abstract: A method of cleaning yarns and evaluating yarn defects by means of digital technology is based on the fact that the physiological perception arising from observation of yarn defects, both as to cross section as well as in length, is approximately proportional to the logarithm of the physical expansion of such yarn defects, and also of the fact that yarn defects are statistically rare events. Signals corresponding to the yarn cross section or diameter are converted to and processed in the logarithmic scale. For purpose of analysis of these converted signals, a tolerance range and a system of tolerance zones arranged in both the transverse dimension and the longitudinal dimension is defined about the yarn. Different analysis criteria are applicable for those zones, and only those signals are analyzed which have directly exceeded or fallen short of at least one of the zone limits, with the result that the need for signal processing capacity is reduced.