RETRACTED: Risk analysis of a flywheel battery gearbox based on optimized stochastic resonance model

Abstract

Flywheel battery is an important device for energy storage in a hybrid energy system. The gearbox not only affects the efficiency of the flywheel battery, but also the quality of the output electrical energy. Carrying out effective and feasible research on fault diagnosis of the flywheel battery gearbox can improve operational reliability and reduce operation and maintenance costs. Flywheel battery gearbox is often under variable speed working conditions, which makes it difficult to identify potential risk. In order to solve this problem, this study proposes an improved method of combining stochastic resonance method with calculation order analysis. This method aims to build an optimized bistable stochastic resonance model by adding second-order differential terms and wavelet analysis techniques to post-processing in the traditional stochastic resonance model. The results of simulation and experimental verification show that compared with the traditional stochastic resonance method, the proposed method has better noise utilization, significantly enhanced order amplitude and better recognition effect. Taking into account order amplitude, using optimized stochastic resonance increased it by 1.778.