干旱区生态环境知识资源中心(Arid): Aircraft turbines time-to-failures process modeling using RBF NN

Arid

DOI	10.1108/JQME-05-2018-0036
	Aircraft turbines time-to-failures process modeling using RBF NN
	Al-Garni, Ahmed Z.; Abdelrahman, Wael G.; Abdallah, Ayman M.
通讯作者	Al-Garni, AZ
来源期刊	JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING
ISSN	1355-2511
EISSN	1758-7832
出版年	2020
卷号	26 期号:2 页码:249-259
英文摘要	Purpose The purpose of this paper is to formulate a specialized artificial neural network algorithm utilizing radial basis function (RBF) for modeling of time to failure of aircraft engine turbines. Design/methodology/approach The model uses training failure data collected from operators of turboprop aircraft working in harsh desert conditions where sand erosion is a detrimental factor in reducing turbine life. Accordingly, the model is more suited to accurate prediction of life of critical components of such engines. The used RBF employs a closest neighbor type of classifier and the hidden unit's activation is based on the displacement between the early prototype and the input vector. Findings The results of the algorithm are compared to earlier work utilizing Weibull regression modeling, as well as Feed Forward Back Propagation NN. The results show that the failure rates estimated by RBF more closely match actual failure data than the estimations by both other models. The trained model showed reasonable accuracy in predicting future failure events. Moreover, the technique is shown to have comparatively higher efficiency even with reduced number of neurons in each layer of ANN. This significantly decreases computation time with minimum effect on the accuracy of results. Originality/value Using RBF technique significantly decreases the computational time with minimum effect on the accuracy of results.
英文关键词	Neural network Maintenance strategies Weibull analysis Failure rate function Quality maintenance
类型	Article
语种	英语
收录类别	ESCI
WOS记录号	WOS:000524879900005
WOS关键词	NEURAL-NETWORKS ; LIFE
WOS类目	Engineering, Industrial
WOS研究方向	Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/334304
作者单位	[Al-Garni, Ahmed Z.; Abdelrahman, Wael G.; Abdallah, Ayman M.] King Fahd Univ Petr & Minerals, Dept Aerosp Engn, Dhahran, Saudi Arabia
推荐引用方式 GB/T 7714	Al-Garni, Ahmed Z.,Abdelrahman, Wael G.,Abdallah, Ayman M.. Aircraft turbines time-to-failures process modeling using RBF NN[J],2020,26(2):249-259.
APA	Al-Garni, Ahmed Z.,Abdelrahman, Wael G.,&Abdallah, Ayman M..(2020).Aircraft turbines time-to-failures process modeling using RBF NN.JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING,26(2),249-259.
MLA	Al-Garni, Ahmed Z.,et al."Aircraft turbines time-to-failures process modeling using RBF NN".JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING 26.2(2020):249-259.