Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.4028/www.scientific.net/AMM.225.505 |
Application of Back Propagation Neural Network Algorithms on Modeling Failure of B-737 Bleed Air System Valves in Desert Conditions | |
Abdelrahman, Wael G.1; Al-Garni, Ahmed Z.1; Al-Wadiee, Waheed2 | |
通讯作者 | Abdelrahman, Wael G. |
会议名称 | AEROTECH 4 - Conference on Recent Advances in Aerospace Technologies |
会议日期 | NOV 21-22, 2012 |
会议地点 | Kuala Lumpur, MALAYSIA |
英文摘要 | Accurate life prediction of aircraft engine components is very critical because it has a direct impact on aircraft safety and on operators' profits. The engine bleed air system valves have considerably high failure rates when the engines are operated in desert conditions because of sand particles erosion and blockage. In this work, an Artificial Neural Network (ANN) model for the prediction of failure rate of the most important of these valves in Boeing 737 engines is developed and validated. A previously developed feed-forward back-propagation algorithm is implemented to train the ANN. The effects of changing the number of neurons in the input layer, the number of neurons in the hidden layer, the rate of learning, and the momentum constant are investigated. The model results are validated using comparisons with actual valves failure data from a local operator in Saudi Arabia, as well as comparisons with classical Weibull model results. |
英文关键词 | reliability neural network back propagation algorithms engine valves desert conditions |
来源出版物 | AEROTECH IV: RECENT ADVANCES IN AEROSPACE TECHNOLOGIES |
ISSN | 1660-9336 |
出版年 | 2012 |
卷号 | 225 |
页码 | 505-+ |
ISBN | 978-3-03785-506-5 |
出版者 | TRANS TECH PUBLICATIONS LTD |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Saudi Arabia |
收录类别 | CPCI-S |
WOS记录号 | WOS:000316578100082 |
WOS类目 | Engineering, Aerospace |
WOS研究方向 | Engineering |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/301020 |
作者单位 | 1.King Fahd Univ Petr & Minerals, Dept Aerosp Engn, Dhahran 31261, Saudi Arabia; 2.Aviat Dept, Saudi Aramco, Dhahran, Saudi Arabia |
推荐引用方式 GB/T 7714 | Abdelrahman, Wael G.,Al-Garni, Ahmed Z.,Al-Wadiee, Waheed. Application of Back Propagation Neural Network Algorithms on Modeling Failure of B-737 Bleed Air System Valves in Desert Conditions[C]:TRANS TECH PUBLICATIONS LTD,2012:505-+. |
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