Soft-sensing of fouling in condenser based on fuzzy modeling
基于模糊建模的冷凝器污脏软测量

A novel approach based on fuzzy modeling for online soft-sensing of fouling in condenser is proposed.In the approach,terminal temperature difference is chosen to reflect fouling state,fuzzy modeling is applied to separate the influence imposed by fouling on terminal temperature difference.During fuzzy modeling,T-S model is employed to approximate off-design condition terminal temperature difference,a fuzzy clustering algorithm based on similarity assessing is proposed to determine the optimal structure of the model and real-coded genetic algorithm is adopted to optimize model parameters.All these techniques make the fuzzy model compact and accurate.Based on it,an experimental system is developed and the experiment on an actual condenser is carried out.The results show the approach measures the fouling correctly,and is more effective than thermal resistance method or heat transfer coefficient method under the condition of blocked tubes or excessive amount of air in condenser.