Particle Filter with Operational-Scalable Takagi-Sugeno Fuzzy Degradation Model for Filter-Clogging Prognosis

In this paper, filter clogging is used as an aerospace integrated vehicle health management case study to demonstrate the proposed prognostic approach. The focus of this paper is on a scalable data-driven degradation model and how it can improve the remaining useful life prediction performance in condition monitoring of a filter component. Instead of overall fitting of the data, a degradation pattern (a parameterized Takagi–Sugeno fuzzy model) is learned from experimental data collected under a range of operating conditions in the proposed approach. The parameter allows the model to scale to fit different degradation profiles, and hence a more accurate model. In real-time condition monitoring, the degradation and model parameter are simultaneously estimated online based on noisy measurement updates using a particle filter. The estimation results show close tracking of the degradation state and good convergence of the model parameter to its real value. The remaining useful life prediction results show low ...