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. 
Teresa Scholz, Vitor V. Lopes, Pedro Lind, Frank Raischel
physics.data-an