干旱区生态环境知识资源中心(Arid): Applying ensemble neural networks to analyze industrial maintenance: Influence of Saharan dust transport on gas turbine axial compressor fouling

Arid

DOI	10.4114/intartif.vol24iss68pp53-71
	Applying ensemble neural networks to analyze industrial maintenance: Influence of Saharan dust transport on gas turbine axial compressor fouling
	Gonzalez-Calvo, D.; Aguilar, R. M.; Criado-Hernandez, C.; Gonzalez-Mendoza, L. A.
通讯作者	Gonzalez-Calvo, D (corresponding author), Univ La Laguna, Dept Comp & Syst Engn, San Cristobal la Laguna 38200, Tenerife, Spain.
来源期刊	INTELIGENCIA ARTIFICIAL-IBEROAMERICAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN	1137-3601
EISSN	1988-3064
出版年	2021
卷号	24 期号:68 页码:53-71
英文摘要	The planning of industrial maintenance associated with the production of electricity is vital, as it yields a current and future snapshot of an industrial component in order to optimize the human, technical and economic resources of the installation. This study focuses on the degradation due to fouling of a gas turbine in the Canary Islands, and analyzes fouling levels over time based on the operating regime and local meteorological variables. In particular, we study the relationship between degradation and the suspended dust that originates in the Sahara Desert. To this end, we use a computational procedure that relies on a set of artificial neural networks to build an ensemble, using a cross-validated committees approach, to yield the compressor efficiency. The use of trained models makes it possible to know in advance how the local fouling of an industrial rotating component will evolve, which is useful for maintenance planning.
英文关键词	Gas Turbine Compressor Fouling Neural Networks Ensemble Saharan dust Canary Islands
类型	Article
语种	英语
开放获取类型	gold
收录类别	ESCI
WOS记录号	WOS:000704324800005
WOS关键词	FAULT-DETECTION ; DIAGNOSIS ; SYSTEMS ; MODEL
WOS类目	Computer Science, Artificial Intelligence
WOS研究方向	Computer Science
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363603
作者单位	[Gonzalez-Calvo, D.; Aguilar, R. M.] Univ La Laguna, Dept Comp & Syst Engn, San Cristobal la Laguna 38200, Tenerife, Spain; [Criado-Hernandez, C.] Univ La Laguna, Dept Geog & Hist, San Cristobal la Laguna 38200, Tenerife, Spain; [Gonzalez-Mendoza, L. A.] Univ La Laguna, Dept Chem, San Cristobal la Laguna 38200, Tenerife, Spain
推荐引用方式 GB/T 7714	Gonzalez-Calvo, D.,Aguilar, R. M.,Criado-Hernandez, C.,et al. Applying ensemble neural networks to analyze industrial maintenance: Influence of Saharan dust transport on gas turbine axial compressor fouling[J],2021,24(68):53-71.
APA	Gonzalez-Calvo, D.,Aguilar, R. M.,Criado-Hernandez, C.,&Gonzalez-Mendoza, L. A..(2021).Applying ensemble neural networks to analyze industrial maintenance: Influence of Saharan dust transport on gas turbine axial compressor fouling.INTELIGENCIA ARTIFICIAL-IBEROAMERICAL JOURNAL OF ARTIFICIAL INTELLIGENCE,24(68),53-71.
MLA	Gonzalez-Calvo, D.,et al."Applying ensemble neural networks to analyze industrial maintenance: Influence of Saharan dust transport on gas turbine axial compressor fouling".INTELIGENCIA ARTIFICIAL-IBEROAMERICAL JOURNAL OF ARTIFICIAL INTELLIGENCE 24.68(2021):53-71.