MARC details
| 000 -LEADER |
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| fixed length control field |
02213nam a2200241 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
vtls000077807 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251114204603.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
140425t2012 my a f m 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0007376(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
|---|
| Level of rules in bibliographic description |
201905151117 |
| Level of effort used to assign nonsubject heading access points |
fawwaz |
| Level of effort used to assign subject headings |
201905151117 |
| Level of effort used to assign classification |
fawwaz |
| Level of effort used to assign subject headings |
201905151053 |
| Level of effort used to assign classification |
fawwaz |
| Level of effort used to assign subject headings |
201404291000 |
| Level of effort used to assign classification |
Fida |
| -- |
201404251548 |
| -- |
training4 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
TL574.S7 F37 2012 rs Bc. |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Farah Wahida Yusof |
| 245 10 - TITLE STATEMENT |
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| Title |
Modeling magneto rheological damper using artificial neural network method / |
| Statement of responsibility, etc. |
Farah Wahida Yusof |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
Kuantan, Pahang : |
| Name of publisher, distributor, etc. |
UMP, |
| Date of publication, distribution, etc. |
2012 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvi, 46 p. : |
| Other physical details |
ill. (some col.) ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Project paper ( Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2012 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Bibilography : p. 43-44 |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
The purpose of this study is to model magneto rheological (MR) damper using the artificial neural network (ANN) method. There are two ways of modeling the MR damper, but throughout this study the non-parametric model is being use. The method chosen is ANN method. The model of MR damper was simulated in Simulink® MATLAB. Firstly, the block diagram to simulate the MR damper was designed. Instead of designing the block diagram, the ANN coding was also being designed. Next, the simulation was run to obtain the damping force predicted by ANN method. The values of learning rates and weights were being tuned to obtain the desired result from ANN method. The result from ANN method was compared with the result collected from the actual experiment. As it is a model, so the exact value of damping force is impossible to obtain. The difference between the actual damping force and the damping force obtain by ANN method will be calculated by plotted the error. RMSE was used to visualize the error. However, at the end of this project period, the smallest value of RMSE was 3.320945. This RMSE value still large if compared to other previous research on ANN method use to model MR damper. The best model should have the minimum RMSE value around 0.018. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Damping (Mechanics) |