Multisubspace Elastic Network for Multimode Quality-Related Process Monitoring

In this article, a novel multimode quality-related process monitoring method called multisubspace elastic network (MSEN) is proposed. To make mode partition more precisely, this article develops a novel clustering algorithm based on the neighborhood information and subtractive clustering algorithm. In each single mode, unlike conventional process monitoring models that only focus on whether the fault occurs, a novel elastic network based quality-related process monitoring model is established to judge whether the fault is quality related or not. In addition, to select the most suitable monitoring model for online data, the k-nearest neighbor rule and the voting strategy are applied. Once the fault is detected, the contribution plot method is used in both quality-related and quality-unrelated subspace for fault diagnosis. Finally, the proposed MSEN method is tested under the continuous stirred tank reactor to verify its superiority and advantage.