Design of Risk Prediction Assessment for Ship-Integrated Electric Propulsion System

A design of risk prediction assessment is proposed to improve the safety and economy of ship-integrated electric propulsion system(SIEPS). Firstly, the article puts forward a multihidden Markov model (MHMM)-Viterbi algorithm to predict fault state probabilities of each component in the continuous time points in the future. Secondly, according to the influence of dynamic ocean condition, the fault states of the components of SIEPS are predicted by using the MHMM-Viterbi algorithm. Thirdly, the risk assessment system of network topology of SIEPS is designed, and power flow analysis under the abnormal condition is repeatedly calculated by using the Monte Carlo simulation. Finally, the article takes a SIEPS as an example and the risk prediction assessment results is given.