Yi-Qing Ni
Affiliations: | Hong Kong Polytechnic University (Hong Kong) |
Area:
Civil EngineeringGoogle:
"Yi-Qing Ni"Children
Sign in to add trainee| Yuangfeng Duan | grad student | 2004 | Hong Kong Polytechnic University (Hong Kong) |
| Xiao-We Ye | grad student | 2010 | Hong Kong Polytechnic University (Hong Kong) |
| Hong-Wen Xia | grad student | 2012 | Hong Kong Polytechnic University (Hong Kong) |
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Publications
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| Ni Y, Zhang Q. (2020) A Bayesian machine learning approach for online detection of railway wheel defects using track-side monitoring Structural Health Monitoring-An International Journal. 147592172092177 |
| Ying Z, Ni Y. (2020) A multimode perturbation method for frequency response analysis of nonlinearly vibrational beams with periodic parameters Journal of Vibration and Control. 26: 1260-1272 |
| Ding S, Wang Y, Ni Y, et al. (2020) Structural modal identification and health monitoring of building structures using self-sensing cementitious composites Smart Materials and Structures. 29: 55013 |
| Wan H, Ni Y. (2020) A New Approach for Interval Dynamic Analysis of Train-Bridge System Based on Bayesian Optimization Journal of Engineering Mechanics-Asce. 146: 4020029 |
| Liu XZ, Xu C, Ni YQ. (2019) Wayside Detection of Wheel Minor Defects in High-Speed Trains by a Bayesian Blind Source Separation Method. Sensors (Basel, Switzerland). 19 |
| Wang QA, Ni YQ. (2019) Measurement and Forecasting of High-Speed Rail Track Slab Deformation under Uncertain SHM Data Using Variational Heteroscedastic Gaussian Process. Sensors (Basel, Switzerland). 19 |
| Ni Y, Wang Y, Liao W, et al. (2019) A vision-based system for long-distance remote monitoring of dynamic displacement: experimental verification on a supertall structure Smart Structures and Systems. 24: 769-781 |
| Duan Y, Ni Y, Zhang H, et al. (2019) Design formulas for vibration control of taut cables using passive MR dampers Smart Structures and Systems. 23: 521-536 |
| Zhu Y, Laory I, Ni Y. (2019) A Temperature-driven One-Class Support Vector Machine Method for Anomaly Detection Structural Health Monitoring-An International Journal |
| Chen S, Ni Y, Liu J, et al. (2019) Deep Learning-based Data Anomaly Detection in Rail Track Inspection Structural Health Monitoring-An International Journal |