Articles | Volume 7, issue 1
Special issue:
Regular research article
16 Apr 2018
Regular research article |  | 16 Apr 2018

Temperature estimation of induction machines based on wireless sensor networks

Yi Huang and Clemens Gühmann

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Cited articles

Allocation: Memory allocation, available at:, last access: 15 June 2016. a
Bangura, J. F. and Demerdash, N. A.: Effects of broken bars/end-ring connectors and airgap eccentricities on ohmic and core losses of induction motors in ASDs using a coupled finite element-state space method, IEEE T. Energy Conver., 15, 40–47,, 2000. a
Ben Brahim, S., Bouallegue, R., David, J., Vuong, T. H., and David, M.: A Wireless On-line Temperature Monitoring System for Rotating Electrical Machine, Wireless Personal Communications, 1–21,, 2016. a
Brahim, S. B., Bouallegue, R., David, J., and Vuong, T. H.: Modelling and characterization of rotor temperature monitoring system, in: 2016 International Wireless Communications and Mobile Computing Conference (IWCMC), 735–740,, 2016. a
Cionca, V., Newe, T., and Dadaerlat, V.: TDMA Protocol Requirements for Wireless Sensor Networks, in: 2008 Second International Conference on Sensor Technologies and Applications (sensorcomm 2008), 30–35,, 2008. a
Short summary
We focus on the implementation of monitoring algorithms for the induction machine in WSNs. As there are restrictions on the sensor node, such as low cost, low power, weak calculation and small memory size, the algorithm should be simple and efficient. The model-based method is used for the temperature estimation algorithm development. The experiments prove that the KF algorithm implementation is suitable for real-time temperature estimation on a wireless sensor node.
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