An Improved Bootstrap-Monte Carlo Method Used to Reliability Evaluation of the Flywheel Energy Storage Device

Abstract

The components of flywheel energy storage device are complicated, and its reliability evaluation is a difficult problem in industry research. This paper proposes an improved Monte Carlo method based on Bootstrap to solve this problem. Firstly, the system model based on fault tree was constructed. Secondly, the Bootstrap method was used to expand the failure data samples, and the least square method was used to estimate the parameters, and the cumulative failure distribution function of the two-parameter Weibull distribution of each event was obtained as the original input of simulation. Finally, Monte Carlo method is used to sample the failure data, and N times of simulation is carried out to obtain the reliability index of the system. Taking the field data as the standard, the results obtained by the proposed method are compared with those obtained by the traditional Monte Carlo method to verify the effectiveness of the proposed method, which provides an effective scheme for the reliability evaluation and fault diagnosis of flywheel energy storage.