Application of neuro - fuzzy systems for fault diagnostics of rotating machinery / Maha Mahmoud Aly Lashin ; Supervised Sayed Mohamed Metwalli , Yasser Fathy Zeyada , Serag ElDein Morsy

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Maha Mahmoud Aly Lashin

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Language: Eng Publication details: Cairo : Maha Mahmoud Aly Lashin , 2005Description: 162P : ill ; 30cmOther title:

استخدام منظومات الشبكات العصبية الصناعية - المنطق الهايش فى تشخيص اعطال الماكينات الدوارة [Added title page title]

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Dissertation note: Thesis (PH.D.) - Cairo University - Faculty Of Engineering - Department Of Mechanical Design and Production Summary: Diagnosis of rotating machinery faults has become a highly specialized disciplineReliable diagnostic methodologies are needed to enable cost effective condition based maintenanceSeveral techniques are currently available to fault diagnosisThe most of those techniques depend on vibration analysisThe vibration spectra of many machines are of sufficient complexity that further signal processing is needed to elicit fault informationSome of these techniques can not determine the fault type quickly and accurately as requiredThus there is an essential need to use new techniques to achieve quick , easy , and highly reliable decisions

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Item type	Current library	Home library	Call number	Copy number	Status	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.13.Ph.D.2005.Ma.A. (Browse shelf(Opens below))		Not for loan	01010110044910000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.13.Ph.D.2005.Ma.A. (Browse shelf(Opens below))	44910.CD	Not for loan	01020110044910000

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Thesis (PH.D.) - Cairo University - Faculty Of Engineering - Department Of Mechanical Design and Production

Diagnosis of rotating machinery faults has become a highly specialized disciplineReliable diagnostic methodologies are needed to enable cost effective condition based maintenanceSeveral techniques are currently available to fault diagnosisThe most of those techniques depend on vibration analysisThe vibration spectra of many machines are of sufficient complexity that further signal processing is needed to elicit fault informationSome of these techniques can not determine the fault type quickly and accurately as requiredThus there is an essential need to use new techniques to achieve quick , easy , and highly reliable decisions

Issued also as CD

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