Gas turbine engine fault detection using Markov simulation technique

Autor:	Peter J. Fleming, Tim Breikin, V.Y. Arkov, G.G. Kulikov
Rok vydání:	1998
Předmět:	Engineering Computer simulation Markov chain Stochastic process business.industry Monte Carlo method Condition monitoring Turbojet business Markov model Automotive engineering Fault detection and isolation Simulation
Zdroj:	International Conference on Simulation (1998).
DOI:	10.1049/cp:19980617
Popis:	In this paper, an application of a Markov model based fault detection method for condition monitoring of a gas turbine engine is considered. The engine Markov model is built using real data obtained from an engine test-bed. The obtained model is applied for real-time gas turbine engine simulation. The comparison of the Markov model performance with other nonlinear engine models is presented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ce5e4a43728b517913e1a098969a3ba2 https://doi.org/10.1049/cp:19980617 Zobrazit plný text záznamu