Methods for Determining Vibration Durability Test Conditions for Airborne Equipment

XUE Jingdan; LUO Weifeng; WANG Li; ZHANG Hailiang; LI Bin; DENG Shaoting

doi:10.7643/issn.1672-9242.2026.07.001

PDF(1503 KB)

Equipment Environmental Engineering ›› 2026, Vol. 23 ›› Issue (7) : 1-10. DOI: 10.7643/issn.1672-9242.2026.07.001

Special Topic——Research on Application of Complex Dynamic Environment Analysis and Fine Adaptability Verification Technique for Precise Mother-Daughter UAV System

Methods for Determining Vibration Durability Test Conditions for Airborne Equipment

XUE Jingdan, LUO Weifeng^*, WANG Li, ZHANG Hailiang, LI Bin, DENG Shaoting

Author information +

History +

Abstract

This paper systematically reviews the theoretical basis and method system for determining the vibration durability test conditions of airborne equipment, and compares and analyzes three commonly used methods for determining the durability test conditions: the acceleration factor method, the time-domain load spectrum acceleration editing method, and the frequency-domain load spectrum acceleration method, in the practical applications of equipment in various industries. It summarizes the advantages and disadvantages of each method and the applicable boundaries for airborne equipment. Finally, it proposes future development directions, aiming to provide more scientific methods for determining the vibration durability test conditions of airborne equipment and offer methodological references for the development of highly reliable airborne equipment.

Key words

airborne equipment / vibration durability test / test conditions / environmental adaptability / accelerated testing / load spectrum

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

XUE Jingdan, LUO Weifeng, WANG Li, ZHANG Hailiang, LI Bin, DENG Shaoting. Methods for Determining Vibration Durability Test Conditions for Airborne Equipment[J]. Equipment Environmental Engineering. 2026, 23(7): 1-10 https://doi.org/10.7643/issn.1672-9242.2026.07.001

References

[1] 皮桂英. 振动环境试验中应注意问题分析[J]. 环境技术, 2016, 34(1): 22-24.
PI G Y.Analysis on the Problems in Vibration Test[J]. Environmental Technology, 2016, 34(1): 22-24.
[2] 中国人民解放军总装备部. 军用装备实验室环境试验方法第16部分: 振动试验: GJB 150.16A—2009[S]. 北京: 总装备部军标出版发行部, 2009.
The General Armament Department of the People’s Liberation Army of China. Laboratory Environmental Test Methods for Military Materiel-Part 16: Vibration Test: GJB 150.16A—2009[S]. Beijing: General Armament Department Military Standard Publishing and Distribution Department, 2009.
[3] 中国人民解放军总装备部. 军用装备实验室环境试验方法第16部分: 振动试验: GJB 150.16B—2025[S]. 北京: 总装备部军标出版发行部, 2025.
The General Armament Department of the People’s Liberation Army of China. Laboratory Environmental Test Methods for Military Materiel-Part 16: Vibration Test: GJB 150.16B—2025[S]. Beijing: General Armament Department Military Standard Publishing and Distribution Department, 2025.
[4] RTCA/DO-160G, 机载设备的环境条件和测试程序[S].
RTCA/DO-160G, Environmental Conditions and Test Procedures for Airborne Equipment[S].
[5] U.S.Department of Defense. Environmental Engineering Considerations and Laboratory Tests: MIL-STD-810H[S]. Washington D.C.: Department of Defense, 2021.
[6] European Union Aviation Safety Agency. Certification Specifications for Large Aeroplanes: CS-25 Amendment 20[S]. Cologne: EASA, 2022.
[7] MIL-STD-810F, Environmental Engineering Considerations and Laboratory Tests, METHOD 514.5 VIBRATION[S].
[8] ALLEGRI G, ZHANG X.On the Inverse Power Laws for Accelerated Random Fatigue Testing[J]. International Journal of Fatigue, 2008, 30(6): 967-977.
[9] 朱学旺, 张思箭, 宁佐贵, 等. 宽带随机振动试验条件的加速因子[J]. 环境技术, 2014, 32(6): 17-20.
ZHU X W, ZHANG S J, NING Z G, et al.Accelerated Testing Factor on Wideband Random Vibration[J]. Environmental Technology, 2014, 32(6): 17-20.
[10] 王冬梅, 谢劲松. 随机振动试验加速因子的计算方法[J]. 环境技术, 2010, 28(2): 47-51.
WANG D M, XIE J S.Acceleration Factor Calculation Method of Random Vibration Test[J]. Environmental Technology, 2010, 28(2): 47-51.
[11] 林舒, 杨峻, 焦玉亮, 等. 军民两用机载设备耐久振动试验的对比方法[J]. 环境技术, 2016, 34(5): 28-32.
LIN S, YANG J, JIAO Y L, et al.A Comparison Method for Endurance Vibration Test Applicable to Military and Civil Airborne Equipment[J]. Environmental Technology, 2016, 34(5): 28-32.
[12] 梁攀攀, 吕云朋, 石建奎, 等. 随机振动耐久疲劳损伤等效及严酷度比较研究[J]. 装备制造技术, 2022(9): 95-99.
LIANG P P, LYU Y P, SHI J K, et al.Comparative Study on Equivalent and Severity of Random Vibration Endurance Fatigue Damage[J]. Equipment Manufacturing Technology, 2022(9): 95-99.
[13] 郁立勇, 马晓东, 方平, 等. 面向实战的机载武器加速可靠性增长试验方法[J]. 强度与环境, 2015, 42(3): 58-64.
YU L Y, MA X D, FANG P, et al.An Accelerated Reliability Growth Test Method of Airborne Weapon[J]. Structure & Environment Engineering, 2015, 42(3): 58-64.
[14] 孔耀, 申斌, 刘兴隆, 等. 小子样电子装备可靠性加速试验方法[J]. 无线电工程, 2020, 50(12): 1092-1096.
KONG Y, SHEN B, LIU X L, et al.Reliability Acceleration Test Method of Small Sample Electronic Equipment[J]. Radio Engineering, 2020, 50(12): 1092-1096.
[15] 赵帅帅, 许玉珍, 陈靖怡, 等. 某型航空包装箱加速试验方法研究[J]. 装备环境工程, 2020, 17(7): 34-37.
ZHAO S S, XU Y Z, CHEN J Y, et al.Accelerated Testing Methods for Certain Aviation Packing Box[J]. Equipment Environmental Engineering, 2020, 17(7): 34-37.
[16] 徐明, 马升. 关于振动耐久试验量值和持续时间方法的讨论[J]. 航空标准化与质量, 2003(5): 36-41.
XU M, MA S.A Discussion about the Magnitude and Endurance Time of Vibration Endurance Test[J]. Aeronautic Standardization & Quality, 2003(5): 36-41.
[17] 雷晓波, 张霞妹, 李密, 等. 振动试飞数据归纳方法及在振动耐久试验中的应用[J]. 噪声与振动控制, 2017, 37(5): 180-184.
LEI X B, ZHANG X M, LI M, et al.Inductive Methods for Vibration Flight Test Data Processing and Application in Vibration Endurance Tests[J]. Noise and Vibration Control, 2017, 37(5): 180-184.
[18] 吴松, 胡迪科, 陈燕毫, 等. 基于累积损伤等效的航天器低频动力学环境试验条件设计[C]//中国力学大会- 2021+1 论文集(第四册). 西安: 中国力学学会, 2022.
WU S, HU D K, CHEN Y H, et al.Design of Low-frequency Dynamic Environment Test Condition for Spacecraft based on Cumulative Damage Equivalent[C]//Chinese Congress of Theoretical and Applied Mechanics-2021+1 Proceedings (Volume 4). Xi'an: The Chinese Society of Theoretical and Applied Mechanics, 2021.
[19] 毛森鑫, 时寒阳, 李开响, 等. 振动疲劳载荷谱编制与试验验证[J]. 航空学报, 2022, 43(7): 511-525.
MAO S X, SHI H Y, LI K X, et al.Vibration Fatigue Load Spectrum Compilation and Test Verification[J]. Acta Aeronautica et Astronautica Sinica, 2022, 43(7): 511-525.
[20] 花菲菲, 郑松林, 冯金芝, 等. 基于时域损伤编辑法的整车道路模拟试验谱编制[J]. 机械强度, 2015, 37(5): 964-971.
HUA F F, ZHENG S L, FENG J Z, et al.Spectrum Compilation for Vehicle Road Simulation Test Based on Time Correlated Fatigue Analysis with Damage Editing Method[J]. Journal of Mechanical Strength, 2015, 37(5): 964-971.
[21] 朱连峰, 于佳伟, 郑松林, 等. 整车道路模拟试验载荷谱编制的最佳加速限值方法研究[J]. 机械强度, 2019, 41(4): 993-1001.
ZHU L F, YU J W, ZHENG S L, et al.Research on the Optimal Acceleration Limit Method for Compiling Load Spectrum of Vehicle Road Simulation Test[J]. Journal of Mechanical Strength, 2019, 41(4): 993-1001.
[22] 王哲, 郑松林, 冯金芝, 等. 整车四立柱台架试验中目标谱的加速方法研究[J]. 机械强度, 2016, 38(4): 863-870.
WANG Z, ZHENG S L, FENG J Z, et al.The Acceleration of Four Column Bench for Vehicle Laboratory Road Simulation Test in the Target Spectrum Method Research[J]. Journal of Mechanical Strength, 2016, 38(4): 863-870.
[23] 钟响亮. 多轴随机振动加速疲劳载荷谱编制方法研究[D]. 成都: 西南交通大学, 2017.
ZHONG X L.Research on accelerated fatigue spectrum editing methods of multi axial random vibration[D]. Chengdu: Southwest Jiaotong University, 2017.
[24] 陈宽裕. 随机振动激励的加速方法研究与试验验证[D]. 成都: 西南交通大学, 2021.
CHEN K Y.Research and Test Verification on Acceleration Method of Random Vibration[D]. Chengdu: Southwest Jiaotong University, 2021.
[25] MATTETTI M, MOLARI G, VERTUA A.New Methodology for Accelerating the Four-Post Testing of Tractors Using Wheel Hub Displacements[J]. Biosystems Engineering, 2015, 129: 307-314.
[26] PARAFOROS D S, GRIEPENTROG H W, VOUGIOUKAS S G.Methodology for Designing Accelerated Structural Durability Tests on Agricultural Machinery[J]. Biosystems Engineering, 2016, 149: 24-37.
[27] 张方, 周凌波, 姜金辉, 等. 基于频域法的随机振动疲劳加速试验设计[J]. 振动测试与诊断, 2016, 36(4): 659-664.
ZHANG F, ZHOU L B, JIANG J H, et al.Random Vibration Fatigue Accelerated Test Design Based on Frequency Domain Methods[J]. Journal of Vibration, Measurement & Diagnosis, 2016, 36(4): 659-664.
[28] 穆童. 某航空炸弹弹体结构疲劳寿命分析及加速试验设计[D]. 沈阳: 东北大学, 2018.
MU T.Fatigue Life Analysis and Accelerated Test Design of an Aero Bomb Body Structure[D]. Shenyang: Northeastern University, 2018.
[29] VAN BAREN J G. Fatigue Damage Spectrum-a New Tool to Accelerate Vibration Testing[J]. Sound and Vibration, 2015, 49(3): 15-17.
[30] ANGELI A, CORNELIS B, TRONCOSSI M.Synthesis of Sine-on-Random Vibration Profiles for Accelerated Life Tests Based on Fatigue Damage Spectrum Equivalence[J]. Mechanical Systems and Signal Processing, 2018, 103: 340-351.
[31] STEINWOLF A, WOLFSTEINER P.Vibration Testing of Vehicle Components by Fatigue Damage Spectrum Control[J]. International Journal of Vehicle Noise and Vibration, 2019, 15(2/3): 133.
[32] 余丹妮, 卢则鹏, 高亚辉, 等. 一种航空发动机控制系统振动载荷谱编制方法: CN202111484630.7[P].2023-10-03.
YU D N, LU Z P, GAO Y H, et al. A Method for Compiling the Vibration Load Spectrum of An Aeroengine Control System: CN202111484630.7[P].2023-10-03
[33] 江汇强. 基于LSTM的航空结构动力响应预测方法及振动疲劳寿命分析[D]. 南昌: 南昌大学, 2023.
JIANG H Q.Prediction of Aerostructural Dynamic Response and Analysis of Vibration Fatigue Life Based on LSTM[D]. Nanchang: Nanchang University, 2023.
[34] ZHANG C, WAN R Q, HE J R, et al.Non-Stationary Vibration Fatigue Life Prediction of Automotive Components Based on Long Short-Term Memory Network[J]. International Journal of Fatigue, 2024, 187: 108459.
[35] 周潇雅, 肖进, 张茜, 等. 基于数字孪生的导弹结构动力学响应快速预测技术研究[J]. 导弹与航天运载技术, 2022(5): 110-114.
ZHOU X Y, XIAO J, ZHANG Q, et al.Research on Fast Prediction of Missile Dynamic Response Based on Digital Twin[J]. Missiles and Space Vehicles, 2022(5): 110-114.
[36] ARAÚJO R, FLORES HERNANDEZ R F, DE MIGUEL A G, et al. Development of a Digital Twin for a Multi-Axis Vibration Testing Setup[C]//Proceedings of the 42nd IMAC, a Conference and Exposition on Structural Dynamics 2024. Cham: Springer, 2024 .
[37] YE Y M, YANG Q, ZHANG J G, et al.A Dynamic Data Driven Reliability Prognosis Method for Structural Digital Twin and Experimental Validation[J]. Reliability Engineering & System Safety, 2023, 240: 109543.