Lingli Cui
Beijing University of Technology(CN)
Publications by Year
Research Areas
Machine Fault Diagnosis Techniques, Gear and Bearing Dynamics Analysis, Fault Detection and Control Systems, Engineering Diagnostics and Reliability, Structural Health Monitoring Techniques
Most-Cited Works
- → A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals(2018)334 cited
- → Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter(2019)228 cited
- → Quantitative and Localization Diagnosis of a Defective Ball Bearing Based on Vertical–Horizontal Synchronization Signal Analysis(2017)218 cited
- → A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication(2023)204 cited
- → Vibration response mechanism of faulty outer race rolling element bearings for quantitative analysis(2015)188 cited
- → A novel Switching Unscented Kalman Filter method for remaining useful life prediction of rolling bearing(2018)188 cited
- → An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network(2019)183 cited
- → Rotating Machinery Fault Diagnosis Under Time-Varying Speeds: A Review(2023)178 cited
- → Matching pursuit of an adaptive impulse dictionary for bearing fault diagnosis(2014)177 cited
- → Adaptive Kurtogram and its applications in rolling bearing fault diagnosis(2019)151 cited