Conceptual Representation and Measurement Model of Ball Mill Fill Level Based on Cloud Model
Yan Gao-we · Proceedings of the CSEE · 2014
Aiming at the existence of uncertainty factors like randomness in the process of measuring fill level(FL) of ball mill by analyzing acoustic signals, cloud model system was utilized to represent the FL concepts, meanwhile, the uncertainty reasoning model was built to measure FL of ball mill. The features were extracted from the preprocessed data. Then the backward cloud generator was employed to generate the basic FL concepts and build the antecedent clouds by synthesizing the basic FL concepts. Simultaneously, the consequent clouds were built by FL values. Thus the cloud reasoning rule base was established. At last, FL soft measurement of ball mill was realized by cloud model reasoning. The comparative experiments have proved that this model is feasible and practical.