Non-linear programming for filter management in a fluid power system with uncertainty

In this study, non-linear programming for filter management in a fluid power system is developed for the assessment of filter allocation and replacement strategies in a fluid power system (FPS). The developed model can effectively tackle uncertainties existing as interval values and fuzzy sets, through introducing independent control variables and L- R fuzzy numbers into the interval non-linear programming (INP) framework. Moreover, in the …