Instrumentation for Wireless Condition Monitoring of Induction Machine

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.

[1]  T. Leibfried,et al.  Online monitors keep transformers in service , 1998 .

[2]  V. I. Kogan,et al.  Failure analysis of EHV transformers , 1988 .

[3]  V. C. Padaki,et al.  Wireless Sensor Network for Wearable Physiological Monitoring , 2008, J. Networks.

[4]  Richard H. Norris,et al.  Monitoring river health , 2000, Hydrobiologia.

[5]  D. R. Albright,et al.  Flux probes provide on-line detection of generator shorted turns , 1999 .

[6]  J. Kapler,et al.  Stator winding monitoring , 1998 .

[7]  Rajarshi Gupta,et al.  Short range centralized cardiac health monitoring system based on ZigBee communication , 2014, 2014 IEEE Global Humanitarian Technology Conference - South Asia Satellite (GHTC-SAS).

[8]  Mohd Fauzi Othman,et al.  Wireless Sensor Network Applications: A Study in Environment Monitoring System , 2012 .

[9]  Yi-Qing Ni,et al.  Technology developments in structural health monitoring of large-scale bridges , 2005 .

[10]  Wenxian Yang,et al.  Wind turbine condition monitoring by the approach of SCADA data analysis , 2013 .

[11]  Gautam Sarkar,et al.  Remote monitoring of different electrical parameters of multi-machine system using PC , 2012 .

[12]  Thomas J. Jackson,et al.  Crop condition and yield simulations using Landsat and MODIS , 2004 .

[13]  David G. Dorrell,et al.  On-line current monitoring to diagnose airgap eccentricity in large three-phase induction motors-industrial case histories verify the predictions , 1999 .

[14]  H. Ishida,et al.  Gas sensor network for air-pollution monitoring , 2005 .

[15]  Helmut Wenzel,et al.  Health monitoring of bridges , 2009 .