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基于优化的FMEA和DHHFLTS的离子电池组装过程中的潜在故障模式的风险分析方法

Jinkun Dai¹, Jihong Pang²

¹College of New Energy Equipment, Zhejiang College of Security Technology, Wenzhou, 325000, China.

Scientific reports

|August 3, 2025

概括

本研究介绍了离子电池的优化故障模式和影响分析 (FMEA). 这种新方法通过使用先进的语言和聚合技术,提高了风险分析准确性和运营安全性.

科学领域:

材料科学材料科学材料科学
工程工程师工程师工程师
风险管理风险管理

背景情况:

离子电池对于现代技术至关重要,需要提高安全性和质量.
传统的风险分析方法可能缺乏准确性来捕捉电池制造中的复杂不确定性.

研究的目的:

为离子电池风险评估开发改进的故障模式和影响分析 (FMEA).
提高电池生产风险排名的准确性和客观性.

主要方法:

使用双层层次犹不决的模糊语言术语集 (DHHFLTS) 来进行细微的评估.
雇员相似度 (SM) 和水填充理论 (WFT) 用于基于共识的重量确定.
应用组合妥协解决方案 (CoCoSo) 和多目标聚合技术 (MOAT) 用于风险分析和验证.

主要成果:

拟议的SM-WFT方法提供了一个比分散式方法更合适的方法来计算FMEA中的重量.
CoCoSo 方法有效地将相同的风险排名降到最低,改善差异化.
MOAT为验证新的风险分析技术提供了一个强大的框架.

结论:

新的FMEA方法在分析离子电池组装中的潜在故障模式方面证明了实用性和客观性.
这种方法有助于提高电池制造业的产品质量和运营安全.

关键词:

这就是CoCoCoSoSo的意思.双层次结构犹不决模糊的语言术语集语言术语集多目标聚合技术多目标聚合技术潜在的故障模式风险分析风险分析这就是SM-WFT.

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