关键词: 电路系统, 电解质电容, 预测, 剩余寿命

Abstract: In the electrical system, whether the electrolytic capacitors suffer failure influences the health of the circuits enormously. This paper proposes to apply an improved Particle Filter（PF） which is optimized by using the Particle Swarm Optimization algorithm（PSO） to estimate the state and prognostic the Remaining Useful Life（RUL） of the electrolytic capacitors. The algorithm uses the electrolytic capacitors degradation datasets from NASA to establish a model combined the exponential model and the polynomial model, and PSO is applied to optimize the step of sequential important resampling in PF and improve particle impoverishment. The improved prognostic method can predict RUL of the electrolytic capacitor more accurately.

Key words: electrical system, electrolytic capacitor, prognostic, remaining useful life