Fault detection for batch process based on dissimilarity index

The methods for batch processes monitoring based on multivariate techniques always have two assumptions. One is that batches must have equal duration. The other one is the normal distribution of batch process data. However, those are not always satisfied in practice. In order to overcome those problems, a novel monitoring method based on the dissimilarity index for batch processes is proposed without any assumptions on the lengths of batches and distribution of process data. The proposed method is applied to a simulation fed-batch penicillin production. The application results show that this method is effective.