Risk assessment model of mining equipment failure based on fuzzy logic

作者：

Highlights：

• Fuzzy sets theory and risk priority number are two proposed methods for risk failure assessment.

• The risk indicators: severity, occurrence and detectability are analyzed.

• Fuzzy logic system provides significant advantages in assessing the risk level.

• Results present the risk as influential factor on mining equipment maintenance.

摘要

•Fuzzy sets theory and risk priority number are two proposed methods for risk failure assessment.•The risk indicators: severity, occurrence and detectability are analyzed.•Fuzzy logic system provides significant advantages in assessing the risk level.•Results present the risk as influential factor on mining equipment maintenance.

论文关键词：Risk assessment,Fuzzy logic,Min–max composition,Mining equipment

论文评审过程：Available online 9 July 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.06.042