Equipment Fault Propagation Path Identification Based on Unstable Points Detection
Cheng Peng, Yuyao Ouyang, Weihua Gui, Zhaohui Tang, Changyun Li, Qing Chen
Abstract
To prevent industrial fault propagation, it is important to clarify the relationship between industrial system components and identify the fault propagation path efficiently and timely, aiming at the problems in fault propagation path identification, this article presents an equipment fault propagation analysis approach based on unstable points identification to solve such issues. First, the fault propagation diagram is created by analyzing the industrial complex system components. Furthermore, to address the issues of traditional interpretative structural modeling (ISM), the bilateral rotation interpretative structural modeling (BRISM) method is proposed to stratify the components and detect the unstable points. Finally, the fault propagation graph is analyzed using the PageRank algorithm to update the unstable points and edge weights between different nodes to identify the fault propagation paths. The results indicate that the proposed method can effectively identify fault propagation paths between components and can be applied to various industrial systems.