Abstract

Detection of faults during production of knitted fabric is crucial for improved quality and productivity. The yarn input tension is an important parameter that can he used for this purpose. This paper presents and discusses a computer-based monitoring system which was developed for the detection of faults and malfunctions during the production of weft knitted fabric, using the yarn input tension. In particular, it presents the method used to unveil the appearance of faults, based on two different approaches: comparison with a previously acquired waveform and a particular pattern matching technique average magnitude cross-difference.

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