Statistical Model of Processing the Results of Technological Control at Testing Enamel Wire Insulation By High Voltage During The Production Process

dc.citation.epage21
dc.citation.issue2
dc.citation.journalTitleОбчислювальні проблеми електротехніки
dc.citation.spage14
dc.contributor.affiliationNational Technical University “Kharkiv Polytechnic Institute”
dc.contributor.authorГолик, Оксана
dc.contributor.authorЩебенюк, Леся
dc.contributor.authorКєссаєв, Олександр
dc.contributor.authorГонтар, Юлія
dc.contributor.authorЗиков, Микола
dc.contributor.authorШурупова, Аліна
dc.contributor.authorБілянін, Роман
dc.contributor.authorАнтонець, Тарас
dc.contributor.authorHolyk, Oksana
dc.contributor.authorShchebeniuk, Lesia
dc.contributor.authorKiessaiev, Oleksandr
dc.contributor.authorGontar, Yuliia
dc.contributor.authorZykov, Mykola
dc.contributor.authorShurupova, Alina
dc.contributor.authorBelyanin, Roman
dc.contributor.authorAntonets, Taras
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2025-03-06T07:20:21Z
dc.date.created2022-02-28
dc.date.issued2022-02-28
dc.description.abstractВикладено результати неруйнівного технологічного контролю кількості дефектів у ізоляції емальпроводу на основі поліефірімідного полімеру. Розглянуто застосування статистичного аналізу результатів вимірювання показників контролю за допомогою математичної моделі тренду для використання результатів у активному технологічному контролі. Запропоновано рекомендації щодо практичного використання параметрів функції тренду для контролю ймовірності знаходження кількох параметрів у встановлених межах. Основним параметром тренду є параметр кількості дефектів за встановлену технологічну межу (параметра потоку “відмов”) на коротких відрізках технологічного часу, наприклад, для кожної котушки проводу (кілька тисяч метрів проводу). Теоретично показано і вимірюваннями підтверджено можливість кількісного оцінювання тенденції зміни дефектності емальізоляції для проводу ПЕЕІДХ2-200 з двошаровою ізоляцією номінальним діаметром 0,63 мм впродовж неперервного технологічного циклу. Кількісна оцінка тенденції зміни дефектності емальізоляції дає змогу застосувати модель, основану на згортанні інформації про велику кількість контрольних параметрів. Допускається вихід одного параметра зі спектра взаємопов’язаних параметрів за встановлену технологічну межу, що забезпечує чутливість до зміни цієї межі. Наведено дані про чутливість цієї моделі до технологічних змін.
dc.description.abstractThe results of non-destructive technological control of the number of defects in the enamel wire insulation based on polyetherimide polymer are presented. The application of statistical analysis of the measurement results of control indicators with the help of a mathematical trend model for the use in active technological control is considered. Recommendations for the practical use of the trend function parameters to control the probability of finding several parameters within the established limits are proposed. The main parameter of the trend is the flow parameter of the number of defects exceeding the established technological limit (the failure flow parameter) in short periods of the technological time, for example, for each spool of wire (several thousand meters of wire). The ability to quantitatively assess the tendency of enamel insulation defects for the wire with two-layer insulation with a nominal diameter of 0.63 mm during a continuous technological cycle has been theoretically explained and confirmed by measurements. Quantitative assessment of the tendency of changing the enamel insulation defectiveness allows using a model based on collating the information on a significant number of control parameters. At the same time, one parameter of the spectrum of interrelated ones is allowed to exceed a set technological limit, which ensures sensitivity to changes in this limit. Data on the sensitivity of this model to technological changes are presented.
dc.format.extent14-21
dc.format.pages8
dc.identifier.citationStatistical Model of Processing the Results of Technological Control at Testing Enamel Wire Insulation By High Voltage During The Production Process / Oksana Holyk, Lesia Shchebeniuk, Oleksandr Kiessaiev, Yuliia Gontar, Mykola Zykov, Alina Shurupova, Roman Belyanin, Taras Antonets // Computational Problems of Electrical Engineering. — Lviv : Lviv Politechnic Publishing House, 2022. — Vol 12. — No 2. — P. 14–21.
dc.identifier.citationenStatistical Model of Processing the Results of Technological Control at Testing Enamel Wire Insulation By High Voltage During The Production Process / Oksana Holyk, Lesia Shchebeniuk, Oleksandr Kiessaiev, Yuliia Gontar, Mykola Zykov, Alina Shurupova, Roman Belyanin, Taras Antonets // Computational Problems of Electrical Engineering. — Lviv : Lviv Politechnic Publishing House, 2022. — Vol 12. — No 2. — P. 14–21.
dc.identifier.doidoi.org/10.23939/jcpee2022.02.014
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/63934
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofОбчислювальні проблеми електротехніки, 2 (12), 2022
dc.relation.ispartofComputational Problems of Electrical Engineering, 2 (12), 2022
dc.relation.references[1] O. Hubarevych, “Reliability and diagnostics of electrical equipment”. Syevyerodonets’k, Ukraine: SNU im. V. Dalya, 2016 (Ukrainian).
dc.relation.references[2] Zulfiqar Ali, S. Bala Bhaskar, “Basic statistical tools in research and data analysis”, Indian Journal of Anaesthesia, no. 60(9), pp. 662–669, Anaesthesia, India, 2016. DOI: 10.4103/0019-5049.190623.
dc.relation.references[3] Yu. Antonets, L. Shchebeniuk, and O. Grehko, “Technological monitoring of electrical resistance of pressed cable conductors in production conditions”, Electrical engineering & Electromechanics, no. 4, pp. 48–52, Kharkiv, Ukraine, 2019. DOI: 10.20998/2074-272X.2019.4.07.
dc.relation.references[4] C. Douglas, Montgomery. Introduction to Statistical Quality Control, Arizona State University, Tempe, USA, 2009, p. 117.
dc.relation.references[5] British standard BS 5099:2004. Electric cables – Voltage levels for spark testing.
dc.relation.references[6] CEI/IEC 62230:2006. Electric cables – Spark-test method.
dc.relation.references[7] NEMA Standards Publication WC 56-1986 (R2005). 3.0 kHz Insulation Continuity Proof Testing of Wire and Cable.
dc.relation.references[8] V. Zolotarjov, Yu. Antonets, S. Antones, O. Golik, and L. Shebenjuk, “Technological monitoring of defects in enameled wire with poliimid isolation”, Electrical engineering & Electromechanics, no. 4, pp. 55–60, Kharkiv, Ukraine, 2017 (Ukrainian).
dc.relation.references[9] O. Golik, et al., “A statistical model of monitoring of insulation breakdown voltage stability in the process of enameled wires production”, Electrical engineering & Electromechanics, no. 1, pp. 46–50, Kharkiv, Ukraine, 2019 (Ukrainian).
dc.relation.references[10] P. Vevtukh and O. Vakulenko, “Features of statistical data processing at insulation testing of enameled electric wires”, Scientific Journal of the Ternopil National Technical University, no. 1 (81), pp. 98−105, Ternopil, Ukraine, 2016.
dc.relation.references[11] V. Karpushenko, L. Shchebeniuk, Yu. Antonets, and O. Naumenko, Power cables of low and medium voltage. Designing, technology, quality. Kharkiv, Ukraine: Region-inform Publ., 2000 (Ukrainian).
dc.relation.references[12] L. Shchebeniuk and O. Golik. Mathematical methods in reliability of insulation on equipments. Kharkiv, Ukraine: Kharkiv Polytechnic Institute Publ., 2005 (Ukrainian).
dc.relation.references[13] Z. Song, H. He, and Y. Huang, “Study on On-Line Detection of Surface Defects of Flat Enameled Wire”, Electronic Science and Technology, no. 34(5), pp. 72–78, Xidian University, China, 2021. DOI: 10.16180/j.cnki.issn1007-7820.2021.05.013.
dc.relation.references[14] DSTU 2864-94. Reliability of equipment. Experimental evaluation and control of reliability. Basic provisions. K.: State Standard of Ukraine, 1995 (Ukrainian).
dc.relation.references[15] DSTU 3004-95. Reliability of equipment. Methods for assessing reliability indicators based on experimental data. K.: State Standard of Ukraine, 1995 (Ukrainian).
dc.relation.referencesen[1] O. Hubarevych, "Reliability and diagnostics of electrical equipment". Syevyerodonets’k, Ukraine: SNU im. V. Dalya, 2016 (Ukrainian).
dc.relation.referencesen[2] Zulfiqar Ali, S. Bala Bhaskar, "Basic statistical tools in research and data analysis", Indian Journal of Anaesthesia, no. 60(9), pp. 662–669, Anaesthesia, India, 2016. DOI: 10.4103/0019-5049.190623.
dc.relation.referencesen[3] Yu. Antonets, L. Shchebeniuk, and O. Grehko, "Technological monitoring of electrical resistance of pressed cable conductors in production conditions", Electrical engineering & Electromechanics, no. 4, pp. 48–52, Kharkiv, Ukraine, 2019. DOI: 10.20998/2074-272X.2019.4.07.
dc.relation.referencesen[4] C. Douglas, Montgomery. Introduction to Statistical Quality Control, Arizona State University, Tempe, USA, 2009, p. 117.
dc.relation.referencesen[5] British standard BS 5099:2004. Electric cables – Voltage levels for spark testing.
dc.relation.referencesen[6] CEI/IEC 62230:2006. Electric cables – Spark-test method.
dc.relation.referencesen[7] NEMA Standards Publication WC 56-1986 (R2005). 3.0 kHz Insulation Continuity Proof Testing of Wire and Cable.
dc.relation.referencesen[8] V. Zolotarjov, Yu. Antonets, S. Antones, O. Golik, and L. Shebenjuk, "Technological monitoring of defects in enameled wire with poliimid isolation", Electrical engineering & Electromechanics, no. 4, pp. 55–60, Kharkiv, Ukraine, 2017 (Ukrainian).
dc.relation.referencesen[9] O. Golik, et al., "A statistical model of monitoring of insulation breakdown voltage stability in the process of enameled wires production", Electrical engineering & Electromechanics, no. 1, pp. 46–50, Kharkiv, Ukraine, 2019 (Ukrainian).
dc.relation.referencesen[10] P. Vevtukh and O. Vakulenko, "Features of statistical data processing at insulation testing of enameled electric wires", Scientific Journal of the Ternopil National Technical University, no. 1 (81), pp. 98−105, Ternopil, Ukraine, 2016.
dc.relation.referencesen[11] V. Karpushenko, L. Shchebeniuk, Yu. Antonets, and O. Naumenko, Power cables of low and medium voltage. Designing, technology, quality. Kharkiv, Ukraine: Region-inform Publ., 2000 (Ukrainian).
dc.relation.referencesen[12] L. Shchebeniuk and O. Golik. Mathematical methods in reliability of insulation on equipments. Kharkiv, Ukraine: Kharkiv Polytechnic Institute Publ., 2005 (Ukrainian).
dc.relation.referencesen[13] Z. Song, H. He, and Y. Huang, "Study on On-Line Detection of Surface Defects of Flat Enameled Wire", Electronic Science and Technology, no. 34(5), pp. 72–78, Xidian University, China, 2021. DOI: 10.16180/j.cnki.issn1007-7820.2021.05.013.
dc.relation.referencesen[14] DSTU 2864-94. Reliability of equipment. Experimental evaluation and control of reliability. Basic provisions. K., State Standard of Ukraine, 1995 (Ukrainian).
dc.relation.referencesen[15] DSTU 3004-95. Reliability of equipment. Methods for assessing reliability indicators based on experimental data. K., State Standard of Ukraine, 1995 (Ukrainian).
dc.rights.holder© Національний університет “Львівська політехніка”, 2022
dc.subjectenamel wire
dc.subjectpolyimide insulation
dc.subjectdefectiveness
dc.subjecttechnological control
dc.subjectvoltage tests
dc.titleStatistical Model of Processing the Results of Technological Control at Testing Enamel Wire Insulation By High Voltage During The Production Process
dc.title.alternativeСтатистична модель оброблення результатів технологічного контролю при випробуваннях ізоляції емальпроводу високою напругою на прохід в умовах виробництва
dc.typeArticle

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