Abstract
The quality and productivity demands inevitably cause the production systems to adapt to the changing requirements. This adaptation is based on two factors, first the use of on-line sensors with information centralization, and second the automatic processing of this information. Then the decision-making must be automated.
In this chapter, we will look at sensor principles whereby yarn characteristics or production parameters can be measured. Then we shall take a closer look at processing the obtained signals and discuss the difficulty in interpreting these analyses. Finally, we will present a software to analyse and interpret weight regularity.
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References
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© 1995 Springer Science+Business Media Dordrecht
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Durand, B., Bouget, L., Bouget, S. (1995). Measurement Automation and Diagnosis in Spinning. In: Acar, M. (eds) Mechatronic Design in Textile Engineering. NATO ASI Series, vol 279. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0225-4_9
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DOI: https://doi.org/10.1007/978-94-011-0225-4_9
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-4101-0
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