MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01799cam a2200313 a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
EG-GiCUC |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
170604s2016 ua e f m 000 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
EG-GiCUC |
| Language of cataloging |
eng |
| Transcribing agency |
EG-GiCUC |
| 041 0# - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 049 ## - LOCAL HOLDINGS (OCLC) |
|---|
| Holding library |
Deposite |
| 097 ## - Thesis Degree |
|---|
| Thesis Level |
M.Sc |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
|---|
| Classification number |
Cai01.13.11.M.Sc.2016.An.A |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Anwr Mohammed Albaghdadi |
| 245 13 - TITLE STATEMENT |
|---|
| Title |
An artificial neural network model for gas turbine performance prediction / |
| Statement of responsibility, etc. |
Anwr Mohammed Albaghdadi ; Supervised M. G. Khalafallah , Abdelnaby Mohamed |
| 246 15 - VARYING FORM OF TITLE |
|---|
| Title proper/short title |
التنبؤ باداء التوربينات الغازية باستخدام نموذج الشبكات العصبيه الاصطناعيه |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cairo : |
| Name of publisher, distributor, etc. |
Anwr Mohammed Albaghdadi , |
| Date of publication, distribution, etc. |
2016 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
91 P. : |
| Other physical details |
plans ; |
| Dimensions |
30cm |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mechanical Power Engineering |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
The present thesis introduces a study for the application of ANN modeling to investigate the performance prediction of a gas-turbine power-generation unit. A wide range of operating data (over two years) of a small gas turbine (20 MW) is used for training, investigating and evaluating the ANN model. ANN shows good predict ability results that would add an interesting advantage to the maintenance team efforts. Moreover, the model could be used as a guide for operators to estimate different failure possibilities that could happened to various parts of the gas turbine engine |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
|---|
| Additional physical form available note |
Issued also as CD |
| 653 #4 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Artificial neural network |
| 653 #4 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Gas turbine |
| 653 #4 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Predict |
| 700 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Abdelnaby Mohamed Abdelfattah, |
| Relator term |
|
| 700 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mohamed Galal Eldin Khalafallah , |
| Relator term |
|
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| Cataloger |
Nazla |
| Reviser |
Revisor |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| Cataloger |
Samia |
| Reviser |
Cataloger |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Thesis |
