Remaining useful life prediction of silicone foam using matching pursuit and a particle filter

The silicone foam remaining useful life (RUL) predictions have been developed rapidly. However, few of them refer to the degradation model and failure mechanism of silicone foam, leading to unreliable prediction results. To overcome this shortcoming, a method based on the matching pursuit and particle filter (MP-PF) is proposed in this paper. To date, it has been difficult to describe the degradation of silicone foam material without obtaining the property damage parameters. We review the failure mechanism of silicone foams and describe the matching pursuit (MP) method which is applied to reveal the relative contribution of each failure mechanism and adaptively separate physical and chemical relaxation. Through simulation experiments, we illustrate the effectiveness of the proposed method. On this basis, the RUL of silicone foam is predicted by the particle filter (PF) method, which takes full account of the uncertainty of the product and test data. The experimental data shows that the predicted degradation trends for silicone foam match well with the experimental data. In addition, compared with the methods in the literature, the proposed MP-PF method has higher prediction accuracy and can be used to better characterize the degradation of silicon foam, which is of great significance for product design optimization.