Title :
Health risk assessment and prognosis of gas turbine blades by simulation and statistical methods
Author :
Goel, N. ; Kumar, A. ; Narasimhan, V. ; Nayak, A. ; Srivastava, A.
Author_Institution :
Tecsis Corp., Ottawa, ON
Abstract :
Algorithmic approaches for failure risk assessment, anomaly detection and life prognosis of gas turbine blade are discussed. Modeling of blade tip clearance and Monte Carlo simulation considering creep, vibration and other damaging effects lead to two probabilistic distributions with blade tip clearance data. Failure risk can be determined during blade life usage based on blade tip tolerance limits. Statistical treatments considering percentile ranking of sample mean and regression analysis of blade tip clearance data for anomaly detection and usage life analysis respectively are also discussed.
Keywords :
Monte Carlo methods; blades; creep; failure (mechanical); gas turbines; regression analysis; remaining life assessment; risk management; vibrations; Monte Carlo simulation; anomaly detection; blade tip clearance; blade tip tolerance limits; creep; failure risk assessment; gas turbine blades; health risk assessment; life prognosis; regression analysis; sample mean; statistical methods; vibration; Blades; Creep; Engines; Maintenance; Oxidation; Risk management; Statistical analysis; Temperature; Thermal stresses; Turbines;
Conference_Titel :
Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4244-1642-4
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2008.4564705
