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Knowledge based system to interpret the weight regularity of the yarn in spinning technologies

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dc.contributor.author HANGANU, L. C.
dc.contributor.author TUDOSE- SANDU-VILLE, Fl.
dc.contributor.author MURĂRAŞU, E.
dc.date.accessioned 2019-08-16T15:56:51Z
dc.date.available 2019-08-16T15:56:51Z
dc.date.issued 2003
dc.identifier.citation HANGANU, L. C., TUDOSE- SANDU-VILLE, Fl., MURĂRAŞU, E. Knowledge based system to interpret the weight regularity of the yarn in spinning technologies. In: Meridian Ingineresc. 2003, nr. 4, pp. 66-68. ISSN 1683-853X. en_US
dc.identifier.issn 1683-853X
dc.identifier.uri http://repository.utm.md/handle/5014/4215
dc.description.abstract In this paper there are analyzed some aspects concerning a knowledge based system to detect some defects on the yarn. At present the defect detection on the yarn is based on Fourier's analysis, but other kinds of analysis can be used. An overview of the working of the software is as follows: first, a signal stemming from the weight regularity sensor is received by the software; second, the user must define the yarn manufacturing process, and if necessary, the test conditions (speed of the yarn in the sensor, unknown manufacturing process, etc.); then, the software detects the defects on the weight regularity signal and suggests their possible causes. en_US
dc.description.abstract Lucrarea îşi propune să prezinte un sistem expert pentru a detecta o serie de defecte ale firelor textile care pot să apară în timpul procesului tehnologic de filare. În prezent detectarea defectelor firelor textile se bazează pe analiza Fourier, dar pot fi folosite şi alte modalităţi de analiză. În principiu schema logică utilizată în detectarea regularităţii greutăţii specifice firelor textile ţine cont în primul rând de semnalul preluat cu ajutorul unui senzor de pe firul analizat, iar în al doilea rând, de procesul tehnologic de fabricaţie şi condiţiile de testare. ro
dc.description.abstract L’objectif principal de cet article est de présenter un système expert pour la détection des differents défauts des fils textiles qui surgirent pendant le procès technologique de fabrication. Actuellement la détection des défauts des fils textiles est basée sur l’analyse Fourier, mais c’est possible d’utiliser des autres méthodes d’analyse. En principe, le schème logique utilisé dans la détection de la uniformité du poids des fils textiles est construit premièrement sur le signal assumé à un sensor sur le fil analysé, et en même temps est influencé par les conditions expérimentales et le procès technologique. fr
dc.description.abstract В работе приведен метод эксперт для определения серии дефектов в текстильных нитях, которые могут появляться в процессе закручивания. В настоящее время определение дефектов текстильных нитей основывается на анализе Фурье, но могут быть использованы и другие формы анализа. В принципе логическая схема, применяемая при определении регулярности удельного веса текстильных нитей принимает во внимание, в первую очередь, сигнал, полученный от датчика с анализируемой нити, а во вторых, от технологического процесса производства и условий тестирования. ru
dc.language.iso en en_US
dc.publisher Editura U.T.M. en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject textile yarns en_US
dc.subject Fourier's analysis en_US
dc.subject spinning en_US
dc.subject fire textile en_US
dc.subject filare en_US
dc.subject analiza Fourier en_US
dc.title Knowledge based system to interpret the weight regularity of the yarn in spinning technologies en_US
dc.title.alternative Sistem expert pentru determinarea regularităţii greutăţii specifice a firelor textile en_US
dc.title.alternative Un système expert pour analyser la uniformité du poids des fils textiles en_US
dc.title.alternative Система эксперт для определения регулярности удельного веса текстильных нитей en_US
dc.type Article en_US


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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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