A moment plotting method for characterizing aircraft fatigue data population distributions

A method was developed where, by statistically analyzing samples of aircraft fatigue data from a population, the population's probability distribution function is determined. The method uses plots of a sample's coefficient of variation, and measures of skewness and kurtosis, superimposed o...

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Main Author: Lokensgard, Rolf M.
Other Authors: Lindsey, Gerald H.
Language:en_US
Published: Monterey, California. Naval Postgraduate School 2013
Online Access:http://hdl.handle.net/10945/27142
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-271422014-11-27T16:16:41Z A moment plotting method for characterizing aircraft fatigue data population distributions Lokensgard, Rolf M. Lindsey, Gerald H. NA NA Engineering Science A method was developed where, by statistically analyzing samples of aircraft fatigue data from a population, the population's probability distribution function is determined. The method uses plots of a sample's coefficient of variation, and measures of skewness and kurtosis, superimposed on templates of curves created from the moment functions of Normal, Lognormal, Weibull and Exponential distributions. The moment functions are derived for each distribution. The plotting technique is combined with a comparison of goodness of fit statistics to form the complete distribution selection method. The method is first tested on random numbers generated from known distributions to see if the correct distributions are selected; then the method is applied to helicopter loads data, fatigue life characterization test data, and counting accelerometer data 2013-01-23T22:09:43Z 2013-01-23T22:09:43Z 1993-09 Thesis http://hdl.handle.net/10945/27142 ocn640589792 en_US Monterey, California. Naval Postgraduate School
collection NDLTD
language en_US
sources NDLTD
description A method was developed where, by statistically analyzing samples of aircraft fatigue data from a population, the population's probability distribution function is determined. The method uses plots of a sample's coefficient of variation, and measures of skewness and kurtosis, superimposed on templates of curves created from the moment functions of Normal, Lognormal, Weibull and Exponential distributions. The moment functions are derived for each distribution. The plotting technique is combined with a comparison of goodness of fit statistics to form the complete distribution selection method. The method is first tested on random numbers generated from known distributions to see if the correct distributions are selected; then the method is applied to helicopter loads data, fatigue life characterization test data, and counting accelerometer data
author2 Lindsey, Gerald H.
author_facet Lindsey, Gerald H.
Lokensgard, Rolf M.
author Lokensgard, Rolf M.
spellingShingle Lokensgard, Rolf M.
A moment plotting method for characterizing aircraft fatigue data population distributions
author_sort Lokensgard, Rolf M.
title A moment plotting method for characterizing aircraft fatigue data population distributions
title_short A moment plotting method for characterizing aircraft fatigue data population distributions
title_full A moment plotting method for characterizing aircraft fatigue data population distributions
title_fullStr A moment plotting method for characterizing aircraft fatigue data population distributions
title_full_unstemmed A moment plotting method for characterizing aircraft fatigue data population distributions
title_sort moment plotting method for characterizing aircraft fatigue data population distributions
publisher Monterey, California. Naval Postgraduate School
publishDate 2013
url http://hdl.handle.net/10945/27142
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