Gas turbine engine condition monitoring using statistical and neural network methods

Autor:	Valentin Arkov, V.C. Patel, Timofei Breikin, Visakan Kadirkamanathan, G.G. Kulikov
Rok vydání:	1996
Předmět:	Gas turbines Engineering Artificial neural network Dynamical systems theory business.industry Condition monitoring Pattern analysis Control engineering business Automotive engineering
Zdroj:	Scopus-Elsevier
DOI:	10.1049/ic:19961371
Popis:	This paper focuses on the two general approaches being investigated for condition monitoring systems: static pattern analysis approach and the dynamical systems approach. In each, statistical and neural network methods are used. The dynamical systems approach lends itself to model-based condition monitoring systems. The performances of the different methods for the monitoring of the complex aircraft gas turbine engine is described, based on real engine data.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cad525ad676e3f74f4f353c0a68f504d https://doi.org/10.1049/ic:19961371 Zobrazit plný text záznamu