基于GRA-FMEA的鱼雷引信失效风险评估方法

汪博; 徐鹏; 武志博

doi:10.7643/ issn.1672-9242.2026.05.002

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装备环境工程 ›› 2026, Vol. 23 ›› Issue (5) : 7-16. DOI: 10.7643/ issn.1672-9242.2026.05.002

武器装备

基于GRA-FMEA的鱼雷引信失效风险评估方法

汪博¹, 徐鹏², 武志博³

作者信息 +

Failure Risk Assessment Method for Torpedo Fuses Based on GRA-FMEA

WANG Bo¹, XU Peng², WU Zhibo³

Author information +

文章历史 +

摘要

针对引信失效风险评估问题,传统评估方法存在无法全面评估、无法提前识别潜在风险、优化效果不佳的问题与不足,引入了FMEA方法评估引信失效风险,并针对典型水中兵器鱼雷的引信失效具体情况及FMEA方法的局限性,提出了基于灰色关联度分析的改进FMEA方法。该GRA-FMEA方法定义了自然环境、战场状况、设计制造、使用维护4项一级评估指标、共10项二级评估指标,构建了相应的评估体系。通过对鱼雷引信失效的实例分析,表明所提出的方法具有可行性、优越性,适用于对鱼雷等水中兵器引信失效风险进行评估与量化。

Abstract

Traditional risk assessment methods for fuse failures suffer from shortcomings such as incomplete assessment, inability to identify potential risks in advance, and suboptimal optimization effects. The FMEA method was introduced to assess fuse failure risks. In response to the specific failure scenarios of typical underwater weapons torpedoes and the limitations of the FMEA method, an improved FMEA method based on grey correlation analysis (GRA) was proposed. The GRA-FMEA method defined 4 first-level assessment indicators (natural environment, battlefield conditions, design and manufacturing, and use and maintenance) and 10 second-level assessment indicators. A corresponding assessment system was constructed. Through case analysis of torpedo fuse failures, the proposed method demonstrates feasibility and superiority, making it suitable for assessing and quantifying fuse failure risks in underwater weapons such as torpedoes.

导出引用

汪博, 徐鹏, 武志博. 基于GRA-FMEA的鱼雷引信失效风险评估方法[J]. 装备环境工程. 2026, 23(5): 7-16 https://doi.org/10.7643/ issn.1672-9242.2026.05.002

WANG Bo, XU Peng, WU Zhibo. Failure Risk Assessment Method for Torpedo Fuses Based on GRA-FMEA[J]. Equipment Environmental Engineering. 2026, 23(5): 7-16 https://doi.org/10.7643/ issn.1672-9242.2026.05.002

中图分类号： TJ43

参考文献

[1] 毛钰, 吉春生, 沈士辉. 潜射远程水下武器作战需求[J]. 四川兵工学报, 2012(8): 44-46.
MAO Y, JI C S, SHEN S H.Operational Requirements of Submarine-Launched Long-Range Underwater Weapons[J]. Journal of Sichuan Ordnance, 2012(8): 44-46.
[2] 聂卫东, 王岚, 马玲. 水下网络中心战环境下鱼雷战术概念研究[J]. 鱼雷技术, 2015(5): 384-387.
NIE W D, WANG L, MA L.Conceptual Study on Tactics of Torpedo in Underwater Network Centric Warfare[J]. Torpedo Technology, 2015(5): 384-387.
[3] 郑振, 盛沛, 马蛟. 一种舰机协同的鱼雷攻击全过程控制仿真技术[J]. 舰船电子工程, 2023, 43(11): 115-119.
ZHENG Z, SHENG P, MA J.Simulation Technology for the Whole Process Control of Torpedo Attack by Ship-Aircraft Cooperation[J]. Ship Electronic Engineering, 2023, 43(11): 115-119.
[4] 刘杰, 吕琳, 邓新文. 反鱼雷鱼雷目标识别方法研究[J]. 舰船电子工程, 2024, 44(6): 177-180.
LIU J, LYU L, DENG X W.Research on Target Recognition Method of ATT[J]. Ship Electronic Engineering, 2024, 44(6): 177-180.
[5] 于雪泳, 李本昌. 潜艇“点对点”和“点对域”鱼雷攻击分析[J]. 火力与指挥控制, 2014, 39(5): 111-113.
YU X Y, LI B C.Analysis of Submarine “Point to Point” and “Point to Zone” Torpedo Attack[J]. Fire Control & Command Control, 2014, 39(5): 111-113.
[6] 黄文斌, 于雪泳, 李长军. 潜艇使用机动搜索鱼雷攻击水面舰艇方法[J]. 火力与指挥控制, 2020, 45(2): 71-75.
HUANG W B, YU X Y, LI C J.Research on Method of Attacking Ships by Thread Guiding Maneuver Searching Torpedo[J]. Fire Control & Command Control, 2020, 45(2): 71-75.
[7] 李永胜, 邓剑晶, 杨向锋, 等. 基于水文环境的鱼雷自导作用距离预估方法研究[J]. 舰船科学技术, 2024, 46(6): 181-185.
LI Y S, DENG J J, YANG X F, et al.Torpedo Homing Range Estimation Research Based on Water Conditions[J]. Ship Science and Technology, 2024, 46(6): 181-185.
[8] 罗立峰, 张静远, 华明, 等. 基于BP神经网络的水下对抗预测模型研究[J]. 指挥控制与仿真, 2024, 46(2): 29-34.
LUO L F, ZHANG J Y, HUA M, et al.Research on Underwater Confrontation Prediction Model Based on BP Neural Network[J]. Command Control & Simulation, 2024, 46(2): 29-34.
[9] 汪仪林, 张龙山, 马秋华. 从美军标看我国引信安全性的差距[J]. 探测与控制学报, 2019, 41(3): 1-5.
WANG Y L, ZHANG L S, MA Q H.The Deficiencies of Domestic Fuze Safety Refering to U.S.Millitary Standards[J]. Journal of Detection & Control, 2019, 41(3): 1-5.
[10] 邓新文. 鱼雷装备可靠性工作探讨[J]. 电子产品可靠性与环境试验, 2023, 41(5): 15-20.
DENG X W.Discussion on Reliability Work of Torpedo Equipment[J]. Electronic Product Reliability and Environmental Testing, 2023, 41(5): 15-20.
[11] 王斗辉, 陈欢, 郭君, 等. 可靠性仿真在鱼雷产品上的应用[J]. 水下无人系统学报, 2024, 32(1): 166-173.
WANG D H, CHEN H, GUO J, et al.Application of Reliability Simulation in Torpedo Products[J]. Journal of Unmanned Undersea Systems, 2024, 32(1): 166-173.
[12] 张亚东. FMEA-MSR在电控系统中的应用研究[J]. 质量与标准化, 2024, 43(7): 58-61.
ZHANG Y D.Research on Application of FMEA-MSR in Electronic Control System[J]. Quality and Standardization, 2024, 43(7): 58-61.
[13] 程永波, 刘晓, 张巧可, 等. 基于VWM-GRA的新型Fuzzy-FMEA复杂装备风险评估方法[J]. 机械设计, 2024, 41(7): 89-98.
CHENG Y B, LIU X, ZHANG Q K, et al.New Fuzzy-FMEA Risk-Assessment Method for Complex Equipment Based on VWM-GRA[J]. Journal of Machine Design, 2024, 41(7): 89-98.
[14] 吕宏成, 吴添, 李江浩. 基于优化FMEA的船用箱式电源风险评估[J]. 船舶工程, 2025, 47(S2): 306-312.
LYU H C, WU T, LI J H.Risk Assessment of Marine Containerized Battery Systems Based on an Optimized FMEA[J]. Ship Engineering, 2025, 47(S2): 306-312.
[15] 严文洁, 蒋志远. 基于FMEA方法的民机试飞风险评估与管理策略[J]. 中国科技信息, 2025(24): 16-18.
YAN W J, JIANG Z Y.Risk Assessment and Management Strategy of Civil Aircraft Flight Test Based on FMEA Method[J]. China Science and Technology Information, 2025(24): 16-18.
[16] 杨培平, 高心如, 窦潘, 等. 推力轴承典型故障的FMEA量化分析方法[J]. 摩擦学学报(中英文), 2025, 45(12): 1846-1857.
YANG P P, GAO X R, DOU P, et al.A FMEA Analysis Method for Typical Failures of Thrust Bearings[J]. Tribology, 2025, 45(12): 1846-1857.
[17] 李志雨, 张新, 陈曦, 等. 基于α-截集模糊数和FMEA的深海采矿输送系统安全风险评估方法[J]. 船舶, 2024, 35(6): 92-101.
LI Z Y, ZHANG X, CHEN X, et al.Safety Risk Assessment Method for Deep-Sea Mining Transport System Based on Α-Cut Fuzzy Numbers and FMEA[J]. Ship & Boat, 2024, 35(6): 92-101.
[18] 宁厚波, 杨国营. 基于FMEA和POKA-YOKE技术的塔机顶升安全防控设计[J]. 机电工程技术, 2024, 53(10): 256-261.
NING H B, YANG G Y.Design of Tower Crane Lifting Safety Prevention and Control Based on FMEA and POKA-YOKE Technology[J]. Mechanical & Electrical Engineering Technology, 2024, 53(10): 256-261.
[19] 魏霜, 李永锋. 基于FMEA和RCA的适老化智能家电产品交互设计研究[J]. 包装工程, 2024, 45(18): 36-43.
WEI S, LI Y F.Interaction Design of Aging-Friendly Smart Home Appliances Based on FMEA and RCA[J]. Packaging Engineering, 2024, 45(18): 36-43.
[20] 柳李鹏, 曹菲, 薛春岭. 基于多准则证据优化融合的引信抗干扰效能评估[J]. 探测与控制学报, 2019, 41(2): 44-51.
LIU L P, CAO F, XUE C L.Evaluation of Fuze Anti-Jamming Effectiveness Based on Multi-Criteria Evidence Optimization Fusion[J]. Journal of Detection & Control, 2019, 41(2): 44-51.
[21] 柳李鹏, 曹菲, 毋凡. 基于专家集成赋权-灰色聚类法的引信抗干扰效能评估[J]. 探测与控制学报, 2018, 40(6): 7-13.
LIU L P, CAO F, WU F.Fuze Anti-Jamming Efficiency Evaluation Based on Expert Integrated Weighting and Grey Clustering Method[J]. Journal of Detection & Control, 2018, 40(6): 7-13.
[22] 张涛, 任志良, 孙常存. 基于综合权重的鱼雷电磁引信抗干扰评估方法[J]. 探测与控制学报, 2011, 33(3): 14-18.
ZHANG T, REN Z L, SUN C C.Anti-Interference Evaluation Method of Torpedo Electromagnetic Fuze Based on Synthetic Weight[J]. Journal of Detection & Control, 2011, 33(3): 14-18.
[23] 孙兴伟, 杨铜铜, 杨赫然, 等. 基于CNN-GRU组合神经网络的数控机床进给系统热误差研究[J]. 仪器仪表学报, 2023, 44(10): 219-226.
SUN X W, YANG T T, YANG H R, et al.Research on Thermal Error of CNC Machine Tool Feed System Based on CNN-GRU Combined Neural Network[J]. Chinese Journal of Scientific Instrument, 2023, 44(10): 219-226.
[24] DONGMIN L, JONGWHOA N.Case Study of Electronic Fuel Injection Powertrain System FMEA Using Model-Based Fault Injection Technique[J]. Journal of Advanced Navigation Technology, 2023, 27(4): 436-446.
[25] ZHANG J H, ZHANG Q S, ZHANG J X.The Result Greyness Problem of the Grey Relational Analysis and Its Solution[J]. Journal of Intelligent & Fuzzy Systems, 2023, 44(4): 6079-6088.