- [1]A novel bearing fault classification method based on XGBoost: The fusion of deep learning-based features and empirical feature, IEEE Transactions on Instrumentation and Measurement, 2021, JCR Q1
- [2]转向架齿轮箱动力学建模与故障量化分类方法研究,中南大学学报, 2023, EI
- [3]Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects, Knowledge-Based Systems, 2021, JCR Q1
- [4]磨损水润滑橡胶轴承承载特性研究, 振动与冲击, 2020, EI
- [5]Blade damage monitoring method base on frequency domain statistical index of shaft's random vibration, Mechanical Systems & Signal Processing, 2022, JCR Q1
- [6]Defect Detection inside a Rail Head by Ultrasonic Guided Waves, Symmetry, 2022, JCR Q2
- [7]A new concept of instantaneous whirling speed for cracked rotor’s axis orbit, Applied Sciences, 2019, JCR Q1
- [8]Simulation and experimental study on contact pressure distribution of contact interface in single and double bolted connection structures，Journal of Low Frequency Noise, Vibration & Active Control, 2023 JCR Q1
- [9]A novel vibration modeling method for a rotating blade with breathing cracks, SCIENCE CHINA Technological Sciences, 2019, JCR Q1
- [10]Phase-based spectrum analysis method for identifying weak harmonics, Journal of Vibration and Control, 2018, JCR Q2
- [11]A diagnostic framework with a novel simulation data augmentation method for rail damages based on transfer learning, Structural Health Monitoring, 2023, JCR Q1
- [12]Mechanism explanation and experimental verification of a new modulation frequency characteristic in a disturbed crack rotor, Nonlinear Dynamics, 2019, JCR Q1
- [13]An efficient method for vibration equations with time varying coefficients and nonlinearities，Journal of Low Frequency Noise, Vibration & Active Control, 2021, JCR Q1
- [14]Fatigue test and service performance evaluation of high-speed train hanging equipment bolts, Structures, 2024, JCR Q1
- [15]Self-attention Metric Learning Based on Multi-Scale Feature Fusion for Few-shot Fault Diagnosis, IEEE sensors, 2023, JCR Q1
- [16]Depth Prototype Clustering Method Based on Unsupervised Field Alignment for Bearing Fault Identification of Mechanical Equipment, IEEE Transactions on Instrumentation and Measurement, 2022, JCR Q1
- [17]A Deep Transfer Learning-Based Open Scenario Diagnostic Framework for Rail Damage Using Ultrasound Guided Waves, IEEE Transactions on Instrumentation and Measurement, 2024, JCR Q1
- [18]A Mechanism-Based Automatic Fault Diagnosis Method for Gearboxes, Sensors, 2022, JCR Q2
- [19]A novel bearing fault diagnosis method under small samples using time-frequency multi-scale convolution layer and hybrid attention mechanism module, Measurement Science and Technology, 2023, JCR Q1
- [20]Modified breathing mechanism model and phase waterfall plot diagnostic method for cracked rotors, Journal of Mechanical Science and Technology, 2018, JCR Q3