Author:
Saxena Madhavendra,Jain Parag,Dhiman Pankaj,Singh Priya
Publisher
Springer Nature Singapore
Reference32 articles.
1. Ma S, Gao L, Liu X, Lin J (2019) Deep learning for track quality evaluation of high-speed railway based on vehicle-body vibration prediction. IEEE Access 7:185099–185107
2. Alarcón Rovira G, Palacios Higueras JI, Solé J (2010) Strategic vibration mapping for railway infrastructures. In: 39th international congress on noise control engineering, pp 1–10
3. Azimi Mhsen, Eslamlou AD, Pekcan G (2020) Data-driven structural health monitoring and damage detection through deep learning: state-of-the-art review. Sensors 20(10):2778
4. Yao D, Sun Q, Yang J, Liu H, Zhang J (2020) Railway fastener fault diagnosis based on generative adversarial network and residual network model. Shock Vib 2020
5. Wei X, Yang Z, Liu Y, Wei D, Jia L, Li Y (2019) Railway track fastener defect detection based on image processing and deep learning techniques: a comparative study. Eng Appl Artif Intell 80:66–81