1. 1. Ardakani H D, Lucas C, Siegel D, Chang S, Dersin P, Bonnet B, Lee J. PHM for railway system-a case study on the health assessment of the point machines. IEEE Conference on Prognostics and Health Management 2012: 1-5, https://doi.org/10.1109/ICP HM.2012.6299533.
2. 2. Asada T, Roberts C, Koseki T. An algorithm for improved performance of railway condition monitoring equipment: alternating-current point machine case study. Transportation Research Part C: Emerging Technologies 2013; 30: 81-92, https://doi.org/10.1016/j.trc.2013.01.008.
3. 2. Atamuradov V, Camci F, Baskan S, Sevkli M. Failure diagnostics for railway point machines using expert systems. IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives 2009: 1-5, https://doi.org/10.1109/DEMPE D.2009.5292755.
4. 4. Comaniciu D, Meer P. Mean shift: a robust approach toward feature space analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 2002; 24: 603-619, https://doi.org/10.1109/34.1000236.
5. 3. Comaniciu D, Ramesh V, Meer P. The variable bandwidth mean shift and data-driven scale selection. Proceedings 8th IEEE International Conference on Computer Vision ICC V 2001: 438-445, https://doi.org/10.1109/ICC V.2001.937550.