• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of quality, statistics, & reliability >Multicriteria FMECA Based Decision-Making for Aluminium Wire Process Rolling Mill through COPRAS-G
【24h】

Multicriteria FMECA Based Decision-Making for Aluminium Wire Process Rolling Mill through COPRAS-G

机译：基于多准则FMECA的COPRAS-G铝线工艺轧机决策

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper presents a multifactor decision-making approach based on "grey-complex proportional assessment (COPRAS-G) method" in a view to overcome the limitations of Failure Mode Effect and Criticality Analysis (FMECA). In this model, the scores against each failure mode are expressed in grey number instead of crisp values to evaluate the criticalities of the failure modes without uncertainty. The suggested study is carried out to identify the weights of major failure causes for bearings, gears, and shafts of aluminium wire rolling mill plant. The primary findings of the paper are that sudden impact on the rolls seems to be most critical failure cause and loss of power seems to be least critical failure cause. It is suggested to modify the current control practices with proper maintenance strategy based on achieved maintainability criticality index (MCI) for different failure causes. The outcome of study will be helpful in deriving optimized maintenance plan to maximize the performance of process industry.
机译：本文提出了一种基于“灰色复杂比例评估（COPRAS-G）方法”的多因素决策方法，以克服失效模式影响和临界分析（FMECA）的局限性。在此模型中，每种故障模式的得分均以灰色数字表示，而不是用清晰的值表示，从而可以毫无不确定性地评估故障模式的关键程度。建议的研究旨在确定铝线轧机厂轴承，齿轮和轴的主要故障原因的权重。该论文的主要发现是，突然对辊产生冲击是最关键的故障原因，而断电似乎是最不重要的故障原因。建议根据已实现的不同故障原因的可维护性关键指标（MCI），通过适当的维护策略来修改当前的控制方法。研究结果将有助于得出优化的维护计划，以最大化过程工业的性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号