Enhancing infant incubator controller performance by replacing pid control with fuzzy logic control / Khaled Abdallah Mashaly ; Supervised Amr A. Sharawi , Moustafa M. A. Farghaly

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Khaled Abdallah Abdellatif Mashaly

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TextLanguage: English Publication details: Cairo : Khaled Abdallah Abdellatif Mashaly , 2017Description: 85 P. : charts , facsimiles ; 30cmOther title:

تحسين أداء نظام التحكم الخاص بحضانات الأطفال عن طريق إستخدام نظام المنطق الضبابى [Added title page title]

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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering Summary: The mortality rate of premature infants has reached 3.1% in Egypt. The main reason for that is associated with infant incubator problems. In this study we calibrated 46 infant incubators, and evaluated the performance of these incubators according to the IEC 601 standard parameters. It was found that 25.4% of the incubators failed in the temperature oscillation test, which is the highest percentage among the parameters included in the calibration. I then replaced the incubator control system with the fuzzy logic control system. Comparing the results before and after applying fuzzy logic control, there was a 13% improvement in the performance of the infant incubators

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Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.03.M.Sc.2017.Kh.E (Browse shelf(Opens below))		Not for loan		01010110073813000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.03.M.Sc.2017.Kh.E (Browse shelf(Opens below))	73813.CD	Not for loan		01020110073813000

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Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering

The mortality rate of premature infants has reached 3.1% in Egypt. The main reason for that is associated with infant incubator problems. In this study we calibrated 46 infant incubators, and evaluated the performance of these incubators according to the IEC 601 standard parameters. It was found that 25.4% of the incubators failed in the temperature oscillation test, which is the highest percentage among the parameters included in the calibration. I then replaced the incubator control system with the fuzzy logic control system. Comparing the results before and after applying fuzzy logic control, there was a 13% improvement in the performance of the infant incubators

Issued also as CD

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