Development of Compressor Blade Prognostics and Health Management for Large Gas Turbine Engine

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Jul 14, 2017
Luke Park Donghyeon Hwang Samsik Nam

Abstract

DOOSAN has been developed large gas turbine since 2014 as a national project in Korea. Recent researches showed that one of major risk item in gas turbine development is compressor rotor blade failure. There are several events of compressor rotor blade failure which have occurred over the last few years, in some cases causing catastrophic damage to the entire compressor. In response to these issues, DOOSAN started to develop compressor monitoring system to prevent failures and diagnose blades to assess the structural integrity of each blades. This paper presents the ideas and plans how DOOSAN will develop the system with latest sensors. Additionally, validation methods will be presented using sub-scaled test rig in 2018 and real scale engine test in 2019, respectively.

Abstract 36 | PDF Downloads 39

##plugins.themes.bootstrap3.article.details##

Keywords

PHM

References
General Electric (2012). Advanced Sensors and Monitoring & Diagnostic(M&D) for Gas Turbines: Technical Paper.
Iker Garcia, Joseba Zubia, Josu Beloki, Igor Ayesta, & Gotzon Aldabaldetreku. (2016). Tip timing measurements for Structural Health Monitoring in a low-pressure turbine using three optical sensors. 8th European Workshop On Structural Health Monitoring 2016, 5-8 July (5), Spain
David Kwapisz, Michael Hafner, & Ravi Rajamani. (2012). Application of Microwave Sensing to Blade Health Monitoring. European Conference of the Prognostics and Health Management Society 2012
Witek, L Arkadiusz Bednarz, Feliks Stachowicz, Nikita Kazarinov, & Ivan Smirnov. (2015). Crack propagation analysis of compressor blade subjected to resonant vibrations. XLIII International Summer SchoolConference APM 2015 (477), Poland
Section
Regular Session Papers