Partial coverage inspection of corroded engineering components using extreme value analysis
Author(s) -
Daniel Benstock,
Frederic Cegla
Publication year - 2016
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.4940656
Subject(s) - extreme value theory , extrapolation , component (thermodynamics) , computer science , block (permutation group theory) , partition (number theory) , limiting , reliability engineering , algorithm , data mining , mathematical optimization , mathematics , engineering , statistics , mechanical engineering , geometry , physics , combinatorics , thermodynamics
Ultrasonic thickness C-scans provide information about wall thickness of a component over the entire inspected area. They are performed to determine the condition of a component. However, this is time consuming, expensive and can be unfeasible where access to a component is restricted. The pressure to maximize inspection resources and minimize inspection costs has led to both the development of new sensing technologies and inspection strategies. Partial coverage inspection aims to tackle this challenge by using data from an ultrasonic thickness C-scan of a small fraction of a component’s area to extrapolate to the condition of the entire component. Extreme value analysis is a particular tool used in partial coverage inspection. Typical implementations of extreme value analysis partition a thickness map into a number of equally sized blocks and extract the minimum thickness from each block. Extreme value theory provides a limiting form for the probability distribution of this set of minimum thicknesses, fr...
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