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Inverse PageRank-Based Fault Propagation Analysis of Production Lines under Multiple Uncertain Performance Indicators  ( EI收录)  

文献类型:期刊文献

英文题名:Inverse PageRank-Based Fault Propagation Analysis of Production Lines under Multiple Uncertain Performance Indicators

作者:Huang, Shoujin[1]; Huang, Binda[2]; Jiang, Bin[1]; Lu, Ningyun[1]; Ma, Yajie[1]; Li, Ronghua[3]; Du, Wei[4]; Cao, Jie[2]

机构:[1] College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China; [2] AVIC, Jincheng Nanjing Engineering Institute of Aircraft Systems, Nanjing, 211100, China; [3] School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China; [4] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China

年份:2024

卷号:58

期号:4

起止页码:300

外文期刊名:IFAC-PapersOnLine

收录:EI(收录号:20243616988445)

语种:英文

外文关键词:Risk assessment

摘要:In production lines, quality defects and safety incidents often originate from the propagation of faults resulting from the coupling of multiple factors. After fault propagation, multiple performance indicators on coupling devices are influenced, such as reduction of workpiece quantity, and decrease of processing time. However, the variation of indicators cannot definitively confirm the occurrence of fault propagation, it only provides uncertain information. This credibly uncertain information from various indicators can be conflict, leading to difficulties in analyzing fault propagation issues. To this end, an inverse PageRank-based method is developed for fault propagation analysis under multiple uncertain performance indicators. To fuse multiple uncertain indicators, the Dempster-Shafer evidence theory is adopted. Note that a piece of equipment is harmful if the failure generated from it can spread to other important equipment, which is in line with the idea of inverse PageRank. To assess the fault propagation risks, the inverse PageRank algorithm is used resorting to the fusion information. Subsequently, the fault propagation path can be identified by means of the obtained propagation risks. Finally, the method is validated on a real impeller production line. ? 2024 The Authors. This is an open access article under the CC BY-NC-ND license.

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