Title :
Statistical analysis of steam turbine faults
Author :
Yufeng, Ma ; Yibing, Liu ; Hongwen, An
Author_Institution :
Key Lab. of Condition Monitoring & Control for Power Plant Equip., North China Electr. Power Univ., Beijing, China
Abstract :
After the collecting and sorting of various types and sizes of steam turbine vibration fault cases in China, a steam turbine fault case database is established. On this base, a statistical method is used to analysis shaft vibration fault characteristics and fault modes of domestic steam turbines, and the results from discussing capacity of the units and the fault types are statistically analyzed. In this way, fault condition of domestic steam turbines is generally learned, which is of great significance for the development of the steam turbine industry.
Keywords :
database management systems; fault diagnosis; power engineering computing; statistical analysis; steam turbines; domestic steam turbines; shaft vibration fault characteristics; statistical analysis; steam turbine fault case database; steam turbine industry; steam turbine vibration fault; Blades; Databases; Fault diagnosis; Power systems; Shafts; Turbines; Vibrations; Database; Fault diagnosis; Steam turbine; Vibration;
Conference_Titel :
Mechatronics and Automation (ICMA), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8113-2
DOI :
10.1109/ICMA.2011.5986329