Abstract
In this paper, we describe the instrumentation setup for wireless condition monitoring of induction machine in a laboratory environment. Four parameters, viz., stator voltage, current, body temperature, and rotor speed were sensed and fed to a dedicated hardware unit (DHU). This DHU was operated using commands from a desktop computer, acting as an operator station. An Arduino Uno board was used as the data collection unit of the DHU and interfacing to the ZigBee module. Data packets with all four sensed parameters of 5 s duration was continuously collected and transferred to the operator station for real-line display in a graphical user interface. All parameters had less than 1% error in their measurements.
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References
Kogan VI, Fleeman JA, Provanzana JH, Shih CH (1988) Failure analysis of EHV transformers. IEEE Trans Power Deliv 3(2):672–683
Leibfried T (1998) Online monitors keep transformers in service. IEEE Comput Appl Power 11(3):36–42
Thomson WT, Rankin D, Dorrell DG (1999) On-line current monitoring to diagnose airgap eccentricity in large three-phase induction motors—industrial case histories verify the predictions. IEEE Trans Energy Convers 14:1372–1378
Stone G, Kapler J (1998) Stator winding monitoring. IEEE Ind Appl Mag 4(5):15–20
Albright DR, Albright DJ, Albright JD (1999) Flux probes provide on-line detection of generator shorted turns. Power Eng 103(9):28–32
Roy S, Gupta R (2014) Short range centralized cardiac health monitoring system based on ZigBee communication. In: 2014 IEEE global humanitarian technology conference—South Asia satellite, GHTC-SAS 2014, pp 177–182
Wenzel H (2009) Health monitoring of bridges. Wiley
Ko JM, Ni YQ (2005) Technology developments in structural health monitoring of large-scale bridges. Eng Struct 27(12):1715–1725
Yang W, Court R, Jiang J (2013) Wind turbine condition monitoring by the approach of SCADA data analysis. Renew Energy 53:365–376
Tsujita W, Yoshino A, Ishida H, Moriizumi T (2005) Gas sensor network for air-pollution monitoring. Sens Actuators B Chem 110(2):304–311
Norris RH, Hawkins CP (2000) Monitoring river health. Hydrobiologia 435:5–17
Doraiswamy PC, Hatfield JL, Jackson TJ, Akhmedov B, Prueger J, Stern A (2004) Crop condition and yield simulations using landsat and MODIS. Remote Sens Environ 92(4):548–559
Othman MF, Shazali K (2012) Wireless sensor network applications: a study in environment monitoring system. Proc Eng 41:1204–1210
Pandian PS et al (2008) Wireless sensor network for wearable physiological monitoring. J Netw 3(5):21–29
Datta J, Chowdhuri S, Bera J, Sarkar G (2012) Remote monitoring of different electrical parameters of multi-machine system using PC. Meas J Int Meas Confed 45(1):118–125
Wang Z, Liu Y (1998) ANN and expert system tool for transformer fault diagnosis. IEEE Trans Power Deliv 13(4) (vol 2):1261–1269
Wang Z, Liu Y, Griffin PJ (2000) A combined ANN and expert system tool for transformer fault diagnosis. In: 2000 IEEE power engineering society, conference proceedings, pp 1261–1269
Acknowledgements
We acknowledge Sri Sourav Biswas, Technical Asst., Workshop, Department of Applied Physics, University of Calcutta for technical assistance in the sensor fixation and board placement in the hardware setup. We also acknowledge Dr. Kaushik Das Sharma, Associate Professor, Electrical Engineering Section, and Dr. Samarjit Sengupta, retired Professor of the same department for providing valuable suggestions and technical guidance to accomplish the work.
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Chandra, S., Saruk Mohammad, S., Gupta, R. (2020). Instrumentation for Wireless Condition Monitoring of Induction Machine. In: Basu, T., Goswami, S., Sanyal, N. (eds) Advances in Control, Signal Processing and Energy Systems. Lecture Notes in Electrical Engineering, vol 591. Springer, Singapore. https://doi.org/10.1007/978-981-32-9346-5_13
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DOI: https://doi.org/10.1007/978-981-32-9346-5_13
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