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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Monterey, California. Naval Postgraduate School
2013
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Online Access: | http://hdl.handle.net/10945/27142 |
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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 |
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en_US |
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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 |
work_keys_str_mv |
AT lokensgardrolfm amomentplottingmethodforcharacterizingaircraftfatiguedatapopulationdistributions AT lokensgardrolfm momentplottingmethodforcharacterizingaircraftfatiguedatapopulationdistributions |
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