个人信息Personal Information
教师英文名称：Liang Haiying
学历：博士研究生毕业
学位：工学博士学位
办公地点：西南交通大学（九里校区）机械馆2713
性别：女
在职信息：在岗
主要任职：助理教授
毕业院校：米兰理工大学，东北大学
所在单位：机械工程学院
联系方式Other Contact Information
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个人简介Personal Profile
梁海英，女，河北张家口人，米兰理工大学机械工程博士，东北大学机械工程博士，现西南交通大学欧阳华江教授团队，助理教授，入选国家海外高层次人才引进项目。
博士：2020.11 – 2024.12 意大利米兰理工大学 机械工程
博士：2020.09 – 2024.12 东北大学 机械工程
硕士：2017.09 – 2020.07 中北大学 机械工程
本科：2013.09 – 2017.07 中北大学 过程装备与控制工程
访问博士：2024.04-2024.10 帝国理工学院 机械工程
参与国家自然科学基金、教育部中央高校基本科研业务费项目等4项。在国内外主流学术期刊会议上发表学术论文19篇，其中第一或通讯作者论文12篇，获授权专利1项、计算机软件著作权登记2项。
主要研究方向：（1）高速列车车轴监测；（2）转子轴承系统动力学分析与故障诊断；（3）结构健康监测；（4）剩余寿命预测；（5）无损检测
论文：
1. Haiying Liang, Cui Ningyuan, Yulai Zhao, Yang Liu, Claudio Sbarufatti, Marco Giglio. Online quantitative detection for rotor misalignment based on data-driven modeling under nonstationary harmonic excitations. Structural Health Monitoring, 2025, Online. 10.1177/14759217251334104
2. Haiying Liang, Yang Liu, Jian Chen, Shenfang Yuan, Marco Giglio, Claudio Sbarufatti. An Advanced Nonlinear Framework for Early Detection and Prognosis of Fatigue Cracks in Plate-Like Structures. Mechanical Systems and Signal Processing, 2025, 230: 112632.
3. Haiying Liang, Chencheng Zhao, Yang Liu, Chunyue Gao, Ningyuan Cui, Claudio Sbarufatti, Marco Giglio. Research on a quantitative fault diagnosis method for rotor rub-impact. Structural Health Monitoring, 2023, 23(3): 1498–1513.
4. Haiying Liang, Lu Huanhuan, Feng Kunpeng, Liu Yang, Li Jintao, Meng Lei. Application of the improved NOFRFs weighted contribution rate based on KL divergence to rotor rub-impact. Nonlinear Dynamics, 2021, 104: 3937–3954.
5. Haiying Liang, Yang Liu, Jian Chen, Shenfang Yuan, Marco Giglio, Claudio Sbarufatti. An Advanced Nonlinear Framework for Early Detection and Prognosis of Fatigue Cracks in Plate-Like Structures. Proceedings of the 11th European Workshop on Structural Health Monitoring (EWSHM 2024), Germany.
6. Yang Liu, Haiying Liang. Review on the Application of the Nonlinear Output Frequency Response Functions to Mechanical Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 3506112. (Co-first authors)
7. Haiying Liang, Chencheng Zhao, Yungao Chen, Yang Liu, Yulai Zhao. The improved WNOFRFs feature extraction method and its application to quantitative diagnosis for cracked rotor systems. Sensors, 2022, 22(5): 1936.
8. Yang Liu, Haiying Liang, Kunpeng Feng, Chencheng Zhao. Application of nonlinear system identification and feature extraction in fault diagnosis of the cracked cantilever beam. Journal of Vibration and Control, 2024.
9. Yang Liu, Ningyuan Cui, Haiying Liang, Yonghao Xu, Chunyue Gao, Kuiyuan Bao. Identification of NARX model based on model predicted error for cantilever beam. International Journal of Structural Stability and Dynamics, 2025, Online.
10. Ningyuan Cui, Yang Liu, Haiying Liang, et al. Improved frequency sweep modeling method based on model prediction output error for rub-impact rotor system. Nonlinear Dynamics, 2024, 112: 8761–8773.
11. Chencheng Zhao, Haiying Liang, Yaxin Shan, et al. Bearing fault diagnosis method based on comprehensive information divergence and improved BP-AdaBoost algorithm. Structural Health Monitoring, 2023, 22(5): 3047–3064.
12. Yang Liu, Chencheng Zhao, Haiying Liang, et al. A rotor fault diagnosis method based on BP-Adaboost weighted by non-fuzzy solution coefficients. Measurement, 2022, 196: 111280.
13. Huanhuan Lu, Kunpeng Feng, Haiying Liang, et al. An improved NOFRFs-based fault feature extraction method and its application to quantitative diagnosis in rotor rub-impact. Journal of Sound and Vibration, 2021, 513: 116406.
14. Jintao Li, Yang Liu, Fangquan Xi, Yulai Zhao, Haiying Liang. Weak fault feature extraction based on weighted contribution rate of nonlinear output frequency response functions and stochastic resonance for rub-impact fault diagnosis. Journal of Vibration Engineering & Technologies, 2023, 11: 1495–1506.
15. Yang Liu, Chencheng Zhao, NingYuan Cui, Xinxin Yan, YunGao Chen, HaiYing Liang, XiaoYu Cai, Yue Shan, KuiYuan Bao. Research on the stability analysis of milling of thin-walled parts based on the dynamic characteristics. The Journal of Strain Analysis for Engineering Design, 2023, 58(4): 316–331.