NDT 2025 , 3 , 7
11of 12
PLC Programmable logic controller RPM Revolutions per minute
SCADA Supervisory control and data acquisition SERCOS Serial real-time communications system SVM Support vector machine TCP Transmission control protocol VAC Volts alternating current VDC Volts direct current VFD Variable frequency drive
References 1.
Caamiño, A.; Otsuki, A. Introduction to non-destructive material characterizations. In Non-Destructive Material Characterization Methods ; Otsuki, A., Jose, S., Mohan, M., Thomas, S., Eds.; Elsevier: Amsterdam, The Netherlands, 2023; pp. 1–26. [CrossRef] 2. Gdoutos, E.; Konsta-Gdoutos, M. Nondestructive testing (NDT). In Solid Mechanics and Its Applications ; Springer Nature: Cham, Switzerland, 2024; Volume 275, pp. 201–225. [CrossRef] 3. Perun´ , G. Advances in non-destructive testing methods. Materials 2024 , 17 , 554. [CrossRef] [PubMed] 4. Herlekar, S.; Wanjari, N.; Chattopadhyay, S. Study on failures and reliability aspects of VFDs in oil refinery. In Proceedings of the 2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation (SEFET), Hyderabad, India, 31 July–3 August 2024; pp. 1–5. [CrossRef] 5. Turunen, T.; Miettinen, J.; Hämäläinen, A.; Karhinen, A.; Viitala, R. Deep learning for centrifugal pump condition monitoring using data from variable frequency drive. In IFToMM World Congress on Mechanism and Machine Science ; Springer Nature: Cham, Switzerland, 2023; pp. 905–914. [CrossRef] 6. Murphey, Y.L.; Masrur, M.; Chen, Z.; Zhang, B. Model-based fault diagnosis in electric drives using machine learning. IEEE/ASME Trans. Mechatron. 2006 , 11 , 290–303. [CrossRef] 7. Orkisz, M.; Wnek, M.; Kryczka, K.; Joerg, P. Variable Frequency Drive as a Source of Condition Monitoring Data. In Proceedings of the 2008 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, Ischia, Italy, 11 − 13 June 2008. [CrossRef] 8. Ali, M.; Shabbir, M.; Zaman, S.; Liang, X. Single- and multi-fault diagnosis using machine learning for variable frequency drive-fed induction motors. IEEE Trans. Ind. Appl. 2020 , 56 , 2324–2337. [CrossRef] 9. Roulias, D.; Loutas, T.; Kostopoulos, V. The application of information processing techniques towards an effective online prognostic scheme for rotating machinery. In Emerging Technologies in Non-Destructive Testing V ; Paipetis, A., Matias, T., Aggelis, D., Hemelrijck, D., Eds.; CRC Press: Boca Raton, FL, USA, 2012; pp. 459–463. [CrossRef] 10. Klyuev, V.V.; Nachapetjan, E.G.; Scherbakov, V.V. Methods for non-destructive testing and diagnostics of automatic equipment and technological systems of machines. In Manufacturing Technologies for Machines of the Future ; Dashchenko, A.I., Ed.; Springer: Berlin/Heidelberg, Germany, 2011; pp. 683–719. [CrossRef] 11. Slemon, G.R. Electrical machines for variable-frequency drives. Proc. IEEE 1994 , 82 , 1123–1139. [CrossRef] 12. Moens, P.; Bracke, V.; Soete, C.; Vanden Hautte, S.; Nieves Avendano, D.; Ooijevaar, T.; Devos, S.; Volckaert, B.; Van Hoecke, S. Scalable fleet monitoring and visualization for smart machine maintenance and industrial IoT applications. Sensors 2020 , 20 , 4308. [CrossRef] 13. Wang, G.; Han, Z. Investigation of the accuracy of VFD analog output data and the energy performance of different voltage controls in a VFD-motor-belt-fan system. Energy Build. 2019 , 194 , 260–272. [CrossRef] 14. ABB. ABB Industrial Drives: ACS880, Drive Modules 0.75 to 3500 HP (0.55 to 3200 kW). 2020. Available online: https://library.e. abb.com/public/2ea96e5d24c1419794e6f126d537c301/ACS880-PHTC04U-EN_Rev_A.pdf (accessed on 12 February 2025). 15. Bansal, R.; Dubey, A. Communication protocols used for industrial automation. In Computational Intelligence in the Industry 4.0 ; CRC Press: Boca Raton, FL, USA, 2024; pp. 73–94. [CrossRef] 16. Figueroa-Lorenzo, S.; Añorga, J.; Arrizabalaga, S. A role-based access control model in Modbus SCADA systems. A centralized model approach. Sensors 2019 , 19 , 4455. [CrossRef] 17. Jaloudi, S. Communication protocols of an industrial internet of things environment: A comparative study. Future Internet 2019 , 11 , 66. [CrossRef] 18. Nandi, S.; Toliyat, H.; Li, X. Condition monitoring and fault diagnosis of electrical motors—A review. IEEE Trans. Energy Convers. 2005 , 20 , 719–729. [CrossRef] 19. Owusu, J.; Afful, A.; Yong Kai Loung, V.; Mills-Robertson, P.; Abdul-Rashid, I. Time Synchronization of Medium Voltage Substation IEDs Using Modbus and Python. In Proceedings of the 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), Penang, Malaysia, 3 − 4 April 2021. [CrossRef]
Made with FlippingBook interactive PDF creator