# 2022- 2025年
1.Liu, Z., Wang, J., Liu, Y., Cheng, J., Yin, Y*., Hu, X., & Zuo, H, Recent Advances in Real-Time Monitoring Sensors of Oil Wear Debris, IEEE Transactions on Instrumentation and Measurement, 2025 (中科院二区top，JCR Q1,通讯作者)
2.Wang, Y., Liu, P., ... Yin, Y*. Analysis and quantitative modeling for the non-contact electrostatic sensing mechanism of pressure gas pipeline leakage fault. Measurement, 118719. 2025 (中科院二区top，JCR Q1,通讯作者)
3.Liu, P.,Wang, J.,...Yin, Y*.Weak fault feature enhancement and visualization method based on improved BOMP. Measurement, 118719, 2025 (中科院二区top，JCR Q1,通讯作者)
4.Yin Y, Song L, Yuan Z, et al. Mathematical model and sensing characteristics simulation of SPES for monitoring wear particle in lubricating oil[J]. IEEE Sensors Journal, 2025.（中科院二区, JCR Q1）
5.Song L, Yuan Z, Yin Y*. Design and Simulation of a Spiral-Shaped Probe Electrostatic Sensor. ICEIOM2025国际设备智能运维大会会议论文（通讯作者）
6.Yin Y, Zhang Q, Feng L, et al. A wear debris recognition method based on dual-channel electrostatic signal and prominence of cross-correlation function[J]. Tribology International, 2023, 190: 109020.（中科院一区top）
7.Yin Y, Feng L, Zhang Q, et al. A Wear Particle Detection Method Based on Coaxial Array Electrostatic Sensor and VMD-SR-DTW Model[J]. IEEE Transactions on Instrumentation and Measurement, 2024.（中科院二区top）
8.Yin Y, Wen Z, Guo X. A novel method of Gas-Path health assessment based on exhaust electrostatic signal and performance parameters[J]. Measurement, 2024.（中科院二区top）
9.殷逸冰, 文振华. 基于模态分量优化重构和稀疏表达的静电信号联合降噪方法[J]. 仪器仪表学报, 2022(043-002).（T1级，卓越行动计划领军期刊）
10.殷逸冰,文振华,左洪福.基于静电信号变分模态分解和随机森林的气路故障识别方法[J].推进技术, 2023. （T2级）
11.殷逸冰, 张永亮，刘尊民等. 基于静电传感的小孔泄漏探测方法研究[J]. 中国安全科学学报, 2023.（T1级，卓越行动计划期刊））
12. Feng L, Ding Z, Yin Y, et al. Scraper conveyor gearbox fault diagnosis based on multi-source heterogeneous data fusion[J]. Measurement, 2025: 116797.(中科院二区top，JCR Q1)
13. Zhang, Q., Wang, Y., Feng, L., Yin, Y., & You, Z. . Predicting leak aperture in the pipeline of ultra-long coal mine working faces under strong noise interference based on joint denoising and random forest. Flow Measurement and Instrumentation, 97, 102609.( 2024 )
14.Liu, P., Zhao, S., Kang, L., & Yin, Y. (2025). CNN Intelligent diagnosis method for bearing incipient faint faults based on adaptive stochastic resonance-wave peak cross correlation sliding sampling. Digital Signal Processing,156, 104871..(中科院三区，JCR Q2)
15. Wen Z, Fang P, Yin Y, et al. A novel machine learning model for safety risk analysis in flywheel-battery hybrid energy storage system[J]. Journal of Energy Storage, 2022, 49: 104072.(中科院二区，JCR Q1)
16. Chen, X., Xu, Y., Zhang, X., & Yin, Y. Study on High-Performance Gear Fatigue Life Prediction Method Based on Deep Learning Theories. JOM, 77(1), 61-75. 2025
17. Feng, L., Ding, Z., Zhang, Q., Zhou, F., Su, J. P., Wang, Y., ... & Yin, Y. Early Failure Diagnosis of Scraper Conveyor Gearboxes Based on DS Evidence Theory and Multimodal Data Fusion. Energy Science & Engineering, 12(12), 5727-5738.2024
18. Jin H, Wei J, Ji R, Yin Y, et al. Efficient preparation of mechanical seal face reinforcement layer by composite anode jet electrodeposition[J]. Journal of Materials Research and Technology, 2025, 35: 5908-5922.
19.刘尊民, 刘志红, 张西龙, 殷逸冰,李宝刚.最优变分模态分解的管道泄漏次声定位和实验研究.昆明理工大学学报（自然科学版）.2025.
## 2022年以前
1.殷逸冰, 左洪福, 文振华,等. 航空发动机吸入颗粒物静电感应特性的模拟实验及分析[J]. 航空学报, 2015, 36(2):691-702.（T1）
2.Yibing Yin, Jing Cai. Experimental Investigation on Electrostatic Monitoring Technology for Civil Turbofan Engine[J]. Journal of Vibro-engineering 19.2(2017):967-987.（SCI）
3.殷逸冰, 左洪福, 冒慧杰,等. 航空发动机进气道静电传感器空间模型解析及感应信号影响因素实验分析[J]. 仪器仪表学报, 2015, 36(4):795-803.（T1）
4.殷逸冰, 左洪福, 付宇等. 某型航空涡扇发动机静电传感器机载化监测实验[J]. 航空动力学报, 2016, 31(12):3054-3063. （T2）
5.Yin Y, Tong M. Application of GRIB data for 4D trajectory prediction[C]//Artificial Intelligence in China: Proceedings of the International Conference on Artificial Intelligence in China. Springer Singapore, 2020: 422-430.
6.付宇, 殷逸冰, 左洪福航空发动机尾气静电监测及其信号特性分析[J].仪器仪表学报,2018,39(02):160-168. （T1）
7.付宇, 殷逸冰, 左洪福.一种基于稀疏分解的静电信号去噪方法[J].航空动力学报,2018,33(11):2573-2582. （T2）
8.付宇,殷逸冰,冯正兴等.融合静电信号和气路参数的发动机性能评估方法[J].推进技术,2019,40(02):449-455.（T2）
9.付宇, 殷逸冰, 冒慧杰等.基于静电监测和神经网络的航发典型故障诊断[J].计算机集成制造系统,2019,25(11):2852-2862.（T2）
10.殷逸冰,. 发动机气路环形静电传感器的传感性能研究. 仪表技术与传感器 (2017).
11.付宇，殷逸冰,.基于静电信号排列熵的航空发动机异常探测[J].自动化与仪表,.2017-11-001.
12.Jing Cai，Yibing Yin，Yu Fu, et al. "Joint Optimization of Preventive Maintenance and Spare Parts Inventory with Appointment Policy." Mathematical Problems in Engineering, 2017(3):1-12. （SCI）
13.Li, H., Zuo, H., Su, Y., Xu, J., & Yin, Y. (2017). Study on segmented distribution for reliability evaluation. Chinese Journal of Aeronautics,30(1), 310-329.
14. Mao, H., Zuo, H., Wang, H., Yin, Y.. Debris recognition methods in the lubrication system with electrostatic sensors.Mathematical Problems in Engineering, 2018(1), 8043526.
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