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Erschienen in:
A Multicriteria Multistep Approach for Evaluating Supplier Quality in Large Data Sets Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

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

verfasst von : Xuefei Guan, El Mahjoub Rasselkorde, Waheed A. Abbasi, S. Kevin Zhou

Erschienen in: Quality and Reliability Management and Its Applications

Verlag: Springer London

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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.

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Vorheriges Kapitel Product Durability/Reliability Design and Validation Based on Test Data Analysis
Nächstes Kapitel Fusing Wavelet Features for Ocean Turbine Fault Detection
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Metadaten
Titel
Turbine Fatigue Reliability and Life Assessment Using Ultrasonic Inspection: Data Acquisition, Interpretation, and Probabilistic Modeling
verfasst von
Xuefei Guan
El Mahjoub Rasselkorde
Waheed A. Abbasi
S. Kevin Zhou
Copyright-Jahr
2016
Verlag
Springer London
Buch
Quality and Reliability Management and Its Applications

Print ISBN: 978-1-4471-6776-1

Electronic ISBN: 978-1-4471-6778-5

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-1-4471-6778-5_14

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