Fault diagnosis in pv systems using optimized deep learning techniques / (Record no. 173292)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04427namaa22004211i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - أخر تعامل مع التسجيلة | |
| control field | 20250831132045.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250803s2024 ua a|||frm||| 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloguing agency | EG-GICUC |
| Language of cataloging | eng |
| Transcribing agency | EG-GICUC |
| Modifying agency | EG-GICUC |
| Description conventions | rda |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| Language code of summary or abstract | eng |
| -- | ara |
| 049 ## - Acquisition Source | |
| Acquisition Source | Deposit |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 623.043 |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
| Classification number | 623.043 |
| Edition number | 21 |
| 097 ## - Degree | |
| Degree | Ph.D |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Local Call Number | Cai01.13.08.Ph.D.2024.Gh.F |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Authority record control number or standard number | Ghada Shaban Mohamed Ahmed, |
| Preparation | preparation. |
| 245 10 - TITLE STATEMENT | |
| Title | Fault diagnosis in pv systems using optimized deep learning techniques / |
| Statement of responsibility, etc. | by Ghada Shaban Mohamed Ahmed ; Supervisors Prof. Dr. Hanan Kamal, Dr. Mohamed A. Moustafa Hassan. |
| 246 15 - VARYING FORM OF TITLE | |
| Title proper/short title | تشخيص الأعطال في أنظمة الطاقة الشمسية الضوئية باستخدام تقنيات التعلم العميق المحسنة |
| 264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 99 pages : |
| Other physical details | illustrations ; |
| Dimensions | 30 cm. + |
| Accompanying material | CD. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rda content |
| 337 ## - MEDIA TYPE | |
| Media type term | Unmediated |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Source | rdacarrier |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (Ph.D)-Cairo University, 2024. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography: pages 92-99. |
| 520 #3 - SUMMARY, ETC. | |
| Summary, etc. | The fast expansion of the solar photovoltaic (PV) sector over the past decade has contributed significantly to the significance of solar PV systems. Solar PV systems can be made more reliable, efficient, and safe by regularly monitoring the system and quickly identifying any faults. As a result, determining the kind of defect that happens in a solar PV system and its location are imperative. Once a fault has been identified and located, it must be fixed using the proper diagnosis technique. In this work, novel fault diagnosis and detection techniques were proposed. Deep Learning techniques were applied for correctly diagnosing the fault type achieving high accuracy of prediction. Specifically, supervised machine learning techniques such as KNN, LR, NB, and DT were applied. Back Propagation Neural Network (BPNN) was also applied for fault diagnosis. BPNN-PSO was introduced and applied for fault diagnosis showing high accuracy of prediction. Correction techniques for faults and maintenance of PV panels were presented to correct the diagnosed faults practically. |
| 520 #3 - SUMMARY, ETC. | |
| Summary, etc. | لقد ساهم التوسع السريع لقطاع الطاقة الشمسية الضوئية (PV) على مدار العقد الماضي بشكل كبير في أهمية أنظمة الطاقة الشمسية الضوئية. يمكن زيادة موثوقية وكفاءة وسلامة أنظمة الطاقة الشمسية الضوئية من خلال مراقبة النظام بانتظام وتحديد أي أعطال بسرعة. نتيجة لذلك، فإن تحديد نوع العطل الذي يحدث في نظام الطاقة الشمسية الضوئية وموقعه أمر بالغ الأهمية. بمجرد تحديد وتحديد العطل، يجب إصلاحه باستخدام تقنية التشخيص المناسبة. في هذا العمل، تم اقتراح تقنيات جديدة لتشخيص وتحديد الأعطال. تم تطبيق تقنيات التعلم العميق لتشخيص نوع العطل بشكل صحيح وتحقيق دقة عالية في التنبؤ. على وجه التحديد، تم تطبيق تقنيات التعلم الآلي الخاضعة للإشراف مثل KNN و LR و NB و DT. كما تم تطبيق شبكة عصبية ذات انتشار خلفي (BPNN) لتشخيص الأعطال. تم تقديم وتطبيق BPNN-PSO لتشخيص الأعطال مع إظهار دقة عالية في التنبؤ. تم تقديم تقنيات تصحيح الأعطال وصيانة الألواح الشمسية لتصحيح الأعطال التي تم تشخيصها عمليًا. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Issues CD | Issues also as CD. |
| 546 ## - LANGUAGE NOTE | |
| Text Language | Text in English and abstract in Arabic & English. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Electronics engineering |
| 653 #1 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Deep Learning |
| -- | PSO |
| -- | Naïve Bayes |
| -- | Back Propagation Neural Network |
| -- | Decision Tree |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Hanan Kamal |
| Relator term | thesis advisor. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mohamed A. Moustafa Hassan |
| Relator term | thesis advisor. |
| 900 ## - Thesis Information | |
| Grant date | 01-01-2024 |
| Supervisory body | Hanan Kamal |
| -- | Mohamed A. Moustafa Hassan |
| Discussion body | Essam El-Din M.Aboul Zahab |
| -- | Ahmad Mohamed Elgarhy |
| Universities | Cairo University |
| Faculties | Faculty of Engineering |
| Department | Department of Electronics and Communications Engineering |
| 905 ## - Cataloger and Reviser Names | |
| Cataloger Name | Shimaa |
| Reviser Names | Eman Ghareb |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Thesis |
| Edition | 21 |
| Suppress in OPAC | No |
| Source of classification or shelving scheme | Home library | Current library | Date acquired | Inventory number | Full call number | Barcode | Date last seen | Effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 03.08.2025 | 91847 | Cai01.13.08.Ph.D.2024.Gh.F | 01010110091847000 | 03.08.2025 | 03.08.2025 | Thesis |