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Steam turbine maintenance planning based on forecasting of life consumption processes and risk analysis
 
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Online publication date: 2022-05-20
 
 
Publication date: 2022-05-20
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2022;24(3):395-406
 
HIGHLIGHTS
  • Flexible operation significantly intensifies the wear of the turbine.
  • The forecast of life consumption processes development in turbine rotors is presented.
  • The rotor failure probability was estimated for various operating scenarios.
  • The optimal interval of preventive actions for turbine rotors is determined.
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ABSTRACT
Flexible operation of coal-fired power plants contributes to the intensification of the life consumption processes, which is a serious problem especially in the case of units with a long in-service time. In steam turbine rotors, the crack propagation rate and material wear caused by low-cycle fatigue increase. The aim of the research is an attempt to forecast the development of these processes and to estimate the probability of critical elements damage, such as the high-pressure and intermediate-pressure rotors. In the stress state analyses, the finite element method (FEM) is used, the Monte Carlo method and the second order reliability method (SORM) is apply to calculate the probability of failure. It is proposed to use risk analysis to plan preventive maintenance of the turbine. The optimal intervals for carrying out diagnostic tests and prophylactic repairs is determined for various operating scenarios and various failure scenarios. This enables a reduction of the costs while ensuring the safety of the turbine's operation.
 
CITATIONS (2):
1.
Risk-Based Operation and Maintenance Planning of Steam Turbine with the Long In-Service Time
Martyna Tomala, Andrzej Rusin
Energies
 
2.
Microstructure evolution and fracture mechanism of a Fe–Ni–Cr superalloy during various strain rates tensile deformation at elevated temperatures
Shuo Huang, Ruikang Sun, Lei Wang, Danyang Dong, Ran Duan, Xiu Song, Yang Liu
Journal of Materials Science
 
eISSN:2956-3860
ISSN:1507-2711
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