Premium
A THEORETICAL SOLUTION FOR THE ESTIMATION OF “RAINFLOW” RANGES FROM POWER SPECTRAL DENSITY DATA
Author(s) -
Bishop N. W. M.,
Sherratt Frank
Publication year - 1990
Publication title -
fatigue and fracture of engineering materials and structures
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.887
H-Index - 84
eISSN - 1460-2695
pISSN - 8756-758X
DOI - 10.1111/j.1460-2695.1990.tb00604.x
Subject(s) - spectral density , range (aeronautics) , statistical physics , markov chain , set (abstract data type) , mathematics , data set , markov process , probability density function , power (physics) , algorithm , statistics , computer science , physics , engineering , quantum mechanics , programming language , aerospace engineering
— This report outlines a theoretical solution for the estimation of rainflow range density functions using statistics computed directly from power spectral density data. The rainflow range mechanism is broken down into a set of events which can be analyzed using Markov process theory. The dependence between extremes in this instance is modelled using an approximation of the joint distribution of peaks and troughs first proposed by Kowalewski.