Design and Test of Flexible Sensors for the Lubricating Oil System of a Certain Marine Gearbox

LIU Zhen; LI Yanling; YE Hui; FENG Jian; YAN Dong; YANG Jin; CHEN Jie; FENG Fushun; JIA Longkai; YANGYijun; JINDian

doi:10.7643/issn.1672-9242.2026.06.012

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Equipment Environmental Engineering ›› 2026, Vol. 23 ›› Issue (6) : 132-141. DOI: 10.7643/issn.1672-9242.2026.06.012

Ships and Marine Engineering Equipment

Design and Test of Flexible Sensors for the Lubricating Oil System of a Certain Marine Gearbox

LIU Zhen¹, LI Yanling², YE Hui¹, FENG Jian¹, YAN Dong¹, YANG Jin², CHEN Jie¹, FENG Fushun¹, JIA Longkai¹, YANGYijun¹, JINDian¹

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Abstract

The work aims to address the issues of vibration monitoring and mechanical coupling efficiency in the lubricating oil pipeline system for a certain gearbox.A vibration sensor (FVS) withwide frequency band, high flexibility and flexible contact-separation mode was designed based on the principle of friction nano-generator. By introducing PTFE powder with different particle sizes as friction material, the effect of different particle sizes of PTFE powder on the electrical output performance of the sensor was studied, and the optimal particle size was found. Furthermore, the sensitivity, directivity, stability, distance response and vibration response of the sensor were tested. Finally, flexible sensors were respectively arranged at the inlet and outlet of the lubricating oil pipeline of the gearbox pump set and the inlet and outlet of the check valve overflow valve to monitor the pipeline vibration of the gearbox under different working conditions and judge the working conditions of the lubricating oil pump and the lubricating oil pipeline there.When 50 μm and 20μm PTFE powderswere mixed in a ratio of 3:4, the sensor showed the best electrical output performance. Within the test acceleration range, the FVS exhibited a sensitivity of approximately 0.169-0.411 mV/(m/s²), with a maximum initial sensitivity of about 0.411 mV/(m/s²) under low acceleration conditions, and had good frequency response characteristics, directivity, stability and distance response characteristics of 10Hz-20kHz. By arranging flexible sensors at the inlet and outlet of the pump set pipeline and the inlet and outlet of the valve set for monitoring, it was found that the peak value of vibration spectrum and time-frequency diagram could normally reflect the working state of lubricating oil system components when the A-type pump set and the B-type pump set worked simultaneously or independently at different input speeds, which could be effectively applied to pipeline vibration monitoring.The sensor demonstrates a wide frequency response range and high sensitivity, making it particularly valuable for monitoring vibration conditions of gearbox lubricating oil pipelines during subsequent real-ship applications.

Key words

marine gearbox / lubricating oil system / vibration monitoring / mechanical coupling efficiency / flexible sensor / friction material

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LIU Zhen, LI Yanling, YE Hui, FENG Jian, YAN Dong, YANG Jin, CHEN Jie, FENG Fushun, JIA Longkai, YANGYijun, JINDian. Design and Test of Flexible Sensors for the Lubricating Oil System of a Certain Marine Gearbox[J]. Equipment Environmental Engineering. 2026, 23(6): 132-141 https://doi.org/10.7643/issn.1672-9242.2026.06.012

References

[1] 刘震, 叶辉, 陈雪华, 等. 某船用齿轮箱基座的振动特性分析[J]. 装备环境工程, 2024, 21(8): 145-152.
LIU Z, YE H, CHEN X H, et al.Vibration Characteristics of Marine Gearbox Base[J]. Equipment Environmental Engineering, 2024, 21(8): 145-152.
[2] 陈兵. 齿轮箱振动噪声的研究综述[J]. 机电工程技术, 2020, 49(12): 61-65.
CHEN B.A Summary of Researches on Gearbox Vibration and Noise[J]. Mechanical & Electrical Engineering Technology, 2020, 49(12): 61-65.
[3] 杨立强, 叶辉, 刘震, 等. 某船用唇形密封失效因素试验及仿真模拟研究[J]. 装备环境工程, 2023, 20(11): 98-106.
YANG L Q, YE H, LIU Z, et al.Experiment and Simulation on the Failure Factors of a Marine Lip Seal[J]. Equipment Environmental Engineering, 2023, 20(11): 98-106.
[4] 张笛, 万程鹏, 艾云飞, 等. 船舶航行安全主动控制技术研究及展望[J]. 中国航海, 2025, 48(2): 1-9.
ZHANG D, WAN C P, AI Y F, et al.Current Research and Prospects for the Use of Active Control Technologies to Improve the Safety of Ship Navigation[J]. Navigation of China, 2025, 48(2): 1-9.
[5] 王晋鹏, 常山, 刘更, 等. 船舶齿轮传动装置箱体振动噪声分析与控制研究进展[J]. 船舶力学, 2019, 23(8): 1007-1019.
WANG J P, CHANG S, LIU G, et al.Review on the Analysis and Reduction of Marine Gearbox Vibration and Noise[J]. Journal of Ship Mechanics, 2019, 23(8): 1007-1019.
[6] 于学宽, 许兆鑫, 柏杨, 等. 船用减速齿轮箱状态监测与故障诊断系统研究[J/OL]. 润滑与密封, 2026, 51: 1-9. (2025-07-14)[2026-03-06]. https://link.cnki.net/urlid/44.1260.TH.20250711.1748.006.
YU X K, XU Z X, BAI Y, et al. Study on Condition Monitoring and Fault Diagnosis System of Marine Reducer Gear Box[J/OL]. Lubrication Engineering, 2026, 51: 1-9. (2025-07-14)[2026-03-06]. https://link.cnki.net/urlid/44.1260.TH.20250711.1748.006.
[7] 徐涛, 陈洁, 李强, 等. 齿轮传动系统振动特性分析及振动优化[J]. 机械设计与研究, 2025, 41(6): 358-363.
XU T, CHEN J, LI Q, et al.Vibration Characteristics Analysis and Vibration Optimization of Gear Transmission Systems[J]. Machine Design & Research, 2025, 41(6): 358-363.
[8] WANG Y M, WANG X G.Marine Gear Reducer Design Device of Lubricating Oil Temperature Control System[J]. Key Engineering Materials, 2014, 621: 365-371.
[9] 徐国平, 沈佳涛, 金程玮, 等. 基于在线振动监测技术的风电机组齿轮箱故障分析与诊断[J]. 微特电机, 2024, 52(6): 23-25.
XU G P, SHEN J T, JIN C W, et al.Fault Analysis and Diagnosis of Wind Turbine Gearboxes Based on Online Vibration Monitoring Technology[J]. Small & Special Electrical Machines, 2024, 52(6): 23-25.
[10] ALI Y, TLIJA M, SHAH S W, et al.Intelligent Condition Monitoring of Gear System at Variable Load and Variable Speed Using Vibration Data[J]. Advances in Mechanical Engineering, 2025, 17(9): 16878132251364692.
[11] 华小云, 张春. 基于振动监测与诊断技术的耙吸式挖泥船齿轮箱故障分析[J]. 中国修船, 2023, 36(2): 14-18.
HUA X Y, ZHANG C.Fault Analysis of Gearbox of Drag Suction Dredgers Based on Vibration Monitoring and Diagnosis Technology[J]. China Shiprepair, 2023, 36(2): 14-18.
[12] HASSAN I U, PANDURU K, WALSH J.An In-Depth Study of Vibration Sensors for Condition Monitoring[J]. Sensors, 2024, 24(3): 740.
[13] MA L M, LI Z P, YANG S R, et al.A Review on Vibration Sensor: Key Parameters, Fundamental Principles, and Recent Progress on Industrial Monitoring Applications[J]. Vibration, 2025, 8(4): 56.
[14] ROMANSSINI M, DE AGUIRRE P C C, COMPASSI- SEVERO L, et al. A Review on Vibration Monitoring Techniques for Predictive Maintenance of Rotating Machinery[J]. Eng, 2023, 4(3): 1797-1817.
[15] SUZUKI A, LIAO W, SHIBATA D, et al.Structural Damage Detection Technique of Secondary Building Components Using Piezoelectric Sensors[J]. Buildings, 2023, 13(9): 2368.
[16] ZOU H L.Application of Piezoelectric Self Powered Wireless Sensor in CCAL Vibration Environment Monitoring[J]. Results in Engineering, 2023, 20: 101492.
[17] CHUNG D D L. A Critical Review of Piezoresistivity and Its Application in Electrical-Resistance-Based Strain Sensing[J]. Journal of Materials Science, 2020, 55(32): 15367-15396.
[18] WANG H, LIU C K, LI B Y, et al.Advances in Carbon-Based Resistance Strain Sensors[J]. ACS Applied Electronic Materials, 2023, 5(2): 674-689.
[19] YUAN K, ZHU W D.A Novel General-Purpose Three- Dimensional Continuously Scanning Laser Doppler Vibrometer System for Full-Field Vibration Measurement of a Structure with a Curved Surface[J]. Journal of Sound and Vibration, 2022, 540: 117274.
[20] YUAN K, ZHU W D.Identification of Modal Parameters of a Model Turbine Blade with a Curved Surface under Random Excitation with a Three-Dimensional Continuously Scanning Laser Doppler Vibrometer System[J]. Measurement, 2023, 214: 112759.
[21] LIANG L Y, WANG X B, LI M T, et al.Self-Powered Active Vibration Sensor by Peak-Valley Data Processing Independent of the Environment Toward Structural Health Monitoring[J]. Nano Energy, 2023, 117: 108935.
[22] LIAO L Y, NI Q Q, PENG W, et al.Advances in Multifunctional Sensors Based on Triboelectric Nanogenerator - Applications, Triboelectric Materials, and Manufacturing Integration[J]. Advanced Materials Technologies, 2024, 9(5): 2301592.
[23] JI M L, WANG Z, WU J M, et al. Machine Learning-Assisted Triboelectric Nanogenerator Technology for Intelligent Sports[J]. Science Advances, 2025, 11(40): eadz3515.
[24] 徐欣宇, 彭嘉馨, 马云宾, 等. 一种基于多层结构摩擦纳米发电机的海洋装备自供电姿态传感系统[J]. 河北工业大学学报, 2025, 54(4): 83-92.
XU X Y, PENG J X, MA Y B, et al.Attitude Sensor of Marine Equipment Based on Triboelectric Nanogenerator[J]. Journal of Hebei University of Technology, 2025, 54(4): 83-92.
[25] DU Y, WANG Z L, WEI D.Emerging Sensing Systems Based on Triboelectric Nanogenerator[J]. Nano Energy, 2025, 143: 111292.
[26] 卢殷. 基于摩擦纳米发电机的能量收集以及柔性传感的设计与应用[D]. 北京: 北京科技大学, 2025.
LU Y.Design and Application of Energy Collection and Flexible Sensing Based on Friction Nano-Generator[D]. Beijing: University of Science and Technology Beijing, 2025.
[27] CUI J, LI X, WANG K P, et al.A Wide-Frequency Triboelectric Vibration Sensor for Self-Powered Machinery Health Monitoring[J]. Nano Energy, 2025, 133: 110481.
[28] MEHAMUD I, BJÖRLING M, MARKLUND P, et al. Small Size and Low-Cost TENG-Based Self-Powered Vibration Measuring and Alerting System[J]. Advanced Electronic Materials, 2023, 9(6): 2300111.
[29] MEHAMUD I, MARKLUND P, BJÖRLING M, et al. Machine Condition Monitoring Enabled by Broad Range Vibration Frequency Detecting Triboelectric Nano-Generator (TENG)-Based Vibration Sensors[J]. Nano Energy, 2022, 98: 107292.
[30] ZHAO H F, SHU M R, AI Z H, et al.A Highly Sensitive Triboelectric Vibration Sensor for Machinery Condition Monitoring[J]. Advanced Energy Materials, 2022, 12(37): 2201132.
[31] SAVANIYA K, SHIBY S, JAURKER D, et al.Laser Scribed Aluminum-Polytetrafluoroethylene-Based Triboelectric Nanogenerator as a Self-Energized Vibration Sensor for Machine Tool Condition Monitoring[J]. Journal of Intelligent Material Systems and Structures, 2025, 36(11): 750-764.
[32] 刘江斌, 任建超, 吴川, 等. 基于摩擦纳米发电机的井下振动传感器的研制[J]. 传感器与微系统, 2026, 45(1): 67-71.
LIU J B, REN J C, WU C, et al.Research and Fabrication of Downhole Vibration Sensor Based on Triboelectric Nanogenerator[J]. Transducer and Microsystem Technologies, 2026, 45(1): 67-71.
[33] 魏斌, 庞洪臣, 杨芳, 等. 基于摩擦纳米发电机的自供能低频振动传感器研究[J]. 机械工程学报, 2022, 58(20): 158-165.
WEI B, PANG H C, YANG F, et al.Research on Self- Powered Low Frequency Vibration Sensor Based on Triboelectric Nanogenerator[J]. Journal of Mechanical Engineering, 2022, 58(20): 158-165.
[34] LI C X, LI T Y, WANG K K, et al.In Situ Wave Amplitude Monitoring Using a Triboelectric Nanogenerator Based on Flexible Sensors Combined with a Multi-Layer Fusion Algorithm[J]. Chemical Engineering Journal, 2026, 531: 173747.
[35] ZHOU D, LUO Z Y, FANG M X, et al.Numerical Calculation of Particle Movement in Sound Wave Fields and Experimental Verification through High-Speed Photography[J]. Applied Energy, 2017, 185: 2245-2250.
[36] GONZÁLEZ I, HOFFMANN T L, GALLEGO J A. Precise Measurements of Particle Entrainment in a Standing-Wave Acoustic Field between 20 and 3500 Hz[J]. Journal of Aerosol Science, 2000, 31(12): 1461-1468.