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Turbine Fatigue Reliability and Life Assessment Using Ultrasonic Inspection: Data Acquisition, Interpretation, and Probabilistic Modeling

In: Quality and Reliability Management and Its Applications

Author

Listed:
  • Xuefei Guan

    (Siemens Corporation, Corporate Technology)

  • El Mahjoub Rasselkorde

    (Siemens Energy, Inc)

  • Waheed A. Abbasi

    (Siemens Energy, Inc)

  • S. Kevin Zhou

    (Siemens Corporation, Corporate Technology)

Abstract

A general method and procedure of fatigue reliability and life assessment of steam turbines using ultrasonic inspections is presented in this chapter. The basic structure of an automated ultrasonic inspection system using in turbine surface engineering is briefly introduced. Using the inspection information, a probabilistic model is developed to quantify uncertainties from flaw sizing and model parameters. The uncertainty from flaw sizing is described using a probability of detection model which is based on a classical log-linear model coupling the actual flaw size with the ultrasonic inspection reported size. The uncertainty from model parameters is characterized using Bayesian parameter estimation from fatigue testing data. A steam turbine rotor example with realistic ultrasonic inspection data is presented to demonstrate the overall method. Calculations and interpretations of assessment results based on risk recommendations for industrial applications are also discussed.

Suggested Citation

  • Xuefei Guan & El Mahjoub Rasselkorde & Waheed A. Abbasi & S. Kevin Zhou, 2016. "Turbine Fatigue Reliability and Life Assessment Using Ultrasonic Inspection: Data Acquisition, Interpretation, and Probabilistic Modeling," Springer Series in Reliability Engineering, in: Hoang Pham (ed.), Quality and Reliability Management and Its Applications, pages 415-434, Springer.
    • Handle: RePEc:spr:ssrchp:978-1-4471-6778-5_14
    DOI: 10.1007/978-1-4471-6778-5_14
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