An improved risk prioritization method for propulsion system based on heterogeneous information and PageRank algorithm
作者：
Highlights：
• Heterogeneous risk assessment is processed without transformation.
• The weight of risk factors is obtained by the heterogeneous entropy-BWM method.
• The interactions between failure modes and influence attenuation are analyzed.
• The classical PageRank algorithm is extended for risk prioritization.
• A case study of FMEA for shipboard medium voltage DC power systems is presented.
摘要
•Heterogeneous risk assessment is processed without transformation.•The weight of risk factors is obtained by the heterogeneous entropy-BWM method.•The interactions between failure modes and influence attenuation are analyzed.•The classical PageRank algorithm is extended for risk prioritization.•A case study of FMEA for shipboard medium voltage DC power systems is presented.
论文关键词：Multi-criteria group decision-making (MCGDM),Failure mode and effect analysis (FMEA),Heterogeneous information,Medium-voltage DC propulsion system
论文评审过程：Received 4 May 2022, Revised 2 August 2022, Accepted 5 September 2022, Available online 12 September 2022, Version of Record 18 September 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118798
