A Bayesian belief network-based architecture for multimodal biometric fusion is disclosed. The process is based on the type of randomness exhibited by well known tetromino stacking games. A second operational phase of the motor is identified if the second value does not exceed the first value by the first threshold value. Since clogging scarcely arises, it is possible to carry out efficient filtration without applying an elevated pressure as the filtration proceeds.