Pb-Zn smelting process fault isolation based on singular value decomposition

Because Pb-Zn smelting process is accompanied with fast changes and remarkable sophisticated characteristics, it is hard to on-line monitor it and diagnose its fault. The objective of fault isolation is to determine the fault types based on the abnormal surveillance variables. However the fault isolation can not be effectively carried out because of the specificity of Pb-Zn smelting process that different faults may cause the same surveillance variables to be abnormal. To solve this problem, singular value decomposition (SVD)-based 2-step fault isolation approach is proposed to achieve effective fault isolation in Pb-Zn smelting process by further analyzing the relationships between fault types and abnormal variables. The feasibility of the proposed method is testified by experiments.