References:
- Statistics Brief. World metro figures 2018. Available at: https://www.uitp.org/sites/default/files/cck-focus-papers-files/Statistics%20Brief%20-%20World%20metro%20figures%202018V4_WEB.pdf (accessed: February 22, 2020).
- Beebe J. Integration of lift systems into the internet of things and the need for an open standard information model. 6th Symposium on Lift and Escalator Technologies. 2016. Vol. 6. Available at: http://nectar.northampton.ac.uk/9126/1/Missler20169126.pdf (accessed: February 22, 2020).
- Smith R. The Internet of Things, Big Data, Machine Learning, and the Lift & Escalator Industry. Symposium on Lift and Escalator Technologies. 2015. Vol. 5. pp. 203–208.
- Gonzalez M., Salgado O., Croes J., Pluymers B., Desmet W. Model-based state estimation for the diagnosis of multiple faults in non-linear electro-mechanical systems. Algorithms and Complexity in Mathematics, Epistemology, and Science. Cham: Springer, 2019. pp. 77–89. DOI: 10.1007/978-3-030-11220-2_9
- Arriola D., Thielecke F. Model-based design and experimental verification of a monitoring concept for an active-active electromechanical aileron actuation system. Mechanical Systems and Signal Processing. 2017. Vol. 94. pp. 322–345. DOI: 10.1016/j.ymssp.2017.02.039
- Newton R. Bricsys Conference Highlights «One Platform» Approach to Design. Available at: https://www.digitalengineering247.com/article/bricsys-conference-highlights-one-platform-approach-to-design (accessed: February 22, 2020).
- Pradeep G., Shaker C.P., Prasad S.V.S. Building management system. International Journal of Innovative Technology and Exploring Engineering. 2019. Vol. 8. Iss. 11. pp. 1999–2003. DOI: 10.35940/ijitee.K2161.0981119
- Casals M., Gangolells M., Forcada N., Macarulla M., Giretti A., Vaccarini M. SEAM4US: An intelligent energy management system for underground stations. Applied Energy. 2016. Vol. 166. pp. 150–164. DOI: 10.1016/j.apenergy.2016.01.029
- Kuutti J., Sepponen R.E., Saarikko P. Escalator power consumption compared to pedestrian counting data. International Conference on Applied Electronics (AE). Pilsen: University of West Bohemia, 2013. pp. 169–172.
- GOST ISO 10816-1—97. Mechanical vibration — Evaluation of machine vibration by measurements on non-rotating parts. Part 1: General guidelines. Available at: http://docs.cntd.ru/document/gost-iso-10816-1-97 (accessed: February 22, 2020). (In Russ.).
- Filin A.N. Methodology for monitoring of technical condition of the tunnel escalators main mechanisms: thesis... Candidate of Technical Sciences. Available at: http://dis.spbgasu.ru/sites/files/dis/filin_aleksandr_nikolaevich/05.05.04_-_filin_a.n.pdf/ (accessed: February 22, 2020). (In Russ.).
- Bardyshev O.A., Popov V.A., Korovin S.K., Filin A.N. Monitoring of Technical Condition of Technical Devices at Hazardous Production Facilities. Bezopasnost truda v promyshlennosti = Occupational Safety in Industry. 2020. № 1. pp. 52–56. (In Russ.). DOI: 10.24000/0409-2961-2020-1-52-56
- Bardyshev O.A. About Diagnostics of Technical Devices. Bezopasnost truda v promyshlennosti = Occupational Safety in Industry. 2019. № 7. pp. 44–48. (In Russ.). DOI: 10.24000/0409-2961-2019-7-44-48
- Wessel R. At the London Underground, RFID Keeps Escalators Moving. Available at: https://www.rfidjournal.com/articles/view?4853 (accessed: February 22, 2020).
- Oh S.W., Lee C., You W. Gear reducer fault diagnosis using learning model for spectral density of acoustic signal. Available at: https://www.researchgate.net/publication/338369374_Gear_Reducer_Fault_Diagnosis_Using_Learning_Model_for_Spectral_Density_of_Acoustic_Signal (accessed: February 22, 2020).