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65 lines
2.4 KiB
Python
65 lines
2.4 KiB
Python
"""
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WAFO
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====
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WAFO is a toolbox Python routines for statistical analysis and simulation of
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random waves and random loads.
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WAFO is freely redistributable software, see WAFO licence, cf. the
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GNU General Public License (GPL) and contain tools for:
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Fatigue Analysis
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----------------
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-Fatigue life prediction for random loads
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-Theoretical density of rainflow cycles
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Sea modelling
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-------------
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-Simulation of linear and non-linear Gaussian waves
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-Estimation of seamodels (spectrums)
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-Joint wave height, wave steepness, wave period distributions
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Statistics
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------------
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-Extreme value analysis
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-Kernel density estimation
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-Hidden markov models
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WAFO consists of several subpackages and classes with short descriptions given
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below.
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Classes:
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TimeSeries - Data analysis of time series. Example: extraction of
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turning points, estimation of spectrum and covariance function.
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Estimation transformation used in transformed Gaussian model.
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CovData - Computation of spectral functions, linear
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and non-linear time series simulation.
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SpecData - Computation of spectral moments and covariance functions, linear
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and non-linear time series simulation.
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Ex: common spectra implemented, directional spectra,
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bandwidth measures, exact distributions for wave characteristics.
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CyclePairs - Cycle counting, discretization, and crossings, calculation of
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damage. Simulation of discrete Markov chains, switching Markov
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chains, harmonic oscillator. Ex: Rainflow cycles and matrix,
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discretization of loads. Damage of a rainflow count or
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matrix, damage matrix, S-N plot.
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Subpackages:
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TRANSFORM - Modelling with linear or transformed Gaussian waves. Ex:
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STATS - Statistical tools and extreme-value distributions.
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Ex: generation of random numbers, estimation of parameters,
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evaluation of pdf and cdf
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KDETOOLS - Kernel-density estimation.
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MISC - Miscellaneous routines.
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DOCS - Documentation of toolbox, definitions. An overview is given
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in the routine wafomenu.
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DATA - Measurements from marine applications.
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WAFO homepage: <http://www.maths.lth.se/matstat/wafo/>
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On the WAFO home page you will find:
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- The WAFO Tutorial
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- New versions of WAFO to download.
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- Reported bugs.
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- List of publications related to WAFO.
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"""
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