Uso de modelos ocultos de markov para modelar proceso de supresión de efectos nódicos en celdas de reducción electrolítica de aluminio primario

hidden markov models (hmm) are used in the current work to model the anode effect process in electrolytic potcells for aluminum reduction of the p-19s type, which operates at an average current of 160ka and a nominal voltage of 4.3vdc. based on a sequence of observations over the voltage behavior, and the fluctuation of the alumina concentration (al2o3) in the electrolytic bath, the hmm designed here is used to determine the most likely sequence of states of the superstructure that supports the anodes and of the breaking/feeding subsystem which could cause that observations sequence. furthermore, the probability of occurrence of that states sequence and the most likely next state the system will take are calculated by using the viterbi？s algorithm