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Modeling and analysis of cyclic inhomogeneous Markov processes: a wind turbine case study

A method is proposed to reconstruct a cyclic time-inhomogeneous Markov pro- cess from measured data. First, a time-inhomogeneous Markov model is fit to the data, taken here from measurements on a wind turbine. From the time-dependent transition matrices, the time-dependent Kramers-Moyal coefficients of the corresponding stochastic process are computed. Further applications of this method are discussed.

preprint2014arXivOpen access
Teresa ScholzVitor V. LopesPedro LindFrank Raischel
physics.data-an
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Open access4 authors1 topic
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Teresa ScholzVitor V. LopesPedro LindFrank Raischel

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