A SAW wireless sensor network platform for industrial predictive maintenance
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Predictive maintenance predicts the system health, based on the current condition, and defines the needed maintenance activities accordingly. This way, the system is only taken out of service if direct evidence exists that deterioration has actually taken place. This increases maintenance efficiency and productivity on one hand, and decreases maintenance support costs and logistics footprints on the other. We propose a system based on wireless sensor network to monitor industrial systems in order to prevent faults and damages. The sensors use the surface acoustic wave technology with an architecture composed of an electronic interrogation device and a passive sensor (without energy at the transducer) which is powered by the radio frequency transmitted by the interrogation unit. The radio frequency link transfers energy to the sensor to perform its measurement and to transmit the result to the interrogation unit—or in a description closer to the implemented, characterize the cooperative target cross section characteristics to recover the physical quantity defining the transducer material properties. We use this sensing architecture to measure the temperature of industrial machine components and we evaluate the robustness of the method. This technology can be applied to other physical parameters to be monitored. Captured information is transmitted to the base station through multi-hop communications. We also treat interferences involved in both interrogator to interrogator and sensor to interrogator communications.
KeywordsPredictive maintenance Surface acoustic wave Wireless sensor network
This work is supported by the Franco-Swiss INTERREG IV program, in the context of the MainPreSI project.
- Beckley, J., Kalinin, V., Lee, M., & Voliansky, K. (2002). Non-contact torque sensors based on SAW resonators. In IEEE international frequency control symposium and PDA exhibition (pp. 202–213).Google Scholar
- Beriain, A., Berenguer, R., Jimenez-Irastorza, A., Farsens, S. L., Montiel-Nelson, J. A., Sosa, J., & Pulido, R. (2014). Full passive RFID pressure sensor with a low power and low voltage time to digital interface. In Conference on design of circuits and integrated circuits (DCIS) (pp. 1–6). IEEE.Google Scholar
- Buff, W., Plath, F., Schmeckebier, O., Rusko, M., Vandahl, T., Luck, H., et al. (1994). Remote sensor system using passive SAW sensors. Proceedings of IEEE Ultrasonics Symposium, 1, 585–588.Google Scholar
- Droit, C., Friedt, J.-M., Goavec-Merou, G., Martin, G., Ballandras, S., Breschi, K., Bernard, J., & Guyennet, H. (2012). Radiofrequency transceiver for probing SAW sensors and communicating through a wireless sensor network. In SENSORCOMM 2012, the sixth international conference on sensor technologies and applications (pp. 48–52).Google Scholar
- Fonseca, R., Gnawali, O., Jamieson, K., Kim, S., Levis, P., & Woo, A. (2006a). The collection tree protocol (CTP). TinyOS TEP, 123, 2.Google Scholar
- Fonseca, R., Gnawali, O., Jamieson, K., & Levis, P. (2006b). TEP 119: Collection. http://tinyos.net/tinyos-2.x/doc/html/tep119.html.
- Gnawali, O. (2006). TEP 124: The link estimation exchange protocol (LEEP). http://tinyos.net/tinyos-2.x/doc/html/tep124.html.
- Goavec-Merou, G., Breshi, K., Martin, G., Ballandras, S., Bernard, J., Droit, C., & Friedt, J.-M. ( 2012). Multipurpose use of radiofrequency sources for probing passive wireless sensors and routing digital messages in a wireless sensor network. In eWise workshop, at IEEE iThings conference.Google Scholar
- Hartmann, P. R. (2009). A passive SAW based RFID system for use on ordnance. In IEEE international conference on RFID (pp. 291–297).Google Scholar
- Hartmann, C. S., & Claiborne, L. T. (2007). Fundamental limitations on reading range of passive IC-based RFID and SAW-based RFID. In IEEE international conference on RFID (pp. 41–48).Google Scholar
- Hashimoto, K.-Y. (2009). RF Bulk Acoustic Wave Filters for Communications. Artech House Microwave Library .Google Scholar
- Kuypers, J. H., Tanaka, S., Esashi, M., Eisele, D. A., & Reindl, D. A. (2006). 2.45 GHz passive wireless temperature monitoring system featuring parallel sensor interrogation and resolution evaluation. In 5th IEEE conference on sensors (pp. 773–776).Google Scholar
- Levis, P., Madden, S., Polastre, J., Szewczyk, R., Whitehouse, K., Woo, A., Gay, D., Hill, J., Welsh, M., & Brewer, E.(2005). TinyOS: An operating system for sensor networks. In W. Weber, J. M. Rabaey, & E. Aarts (Eds.) Ambient intelligence (pp. 115–148). Berlin, Heidelberg: Springer.Google Scholar
- Levis, P., Patel, N., Culler, D., & Shenker, S. (2004). Trickle: A self-regulating algorithm for code propagation and maintenance in wireless sensor networks. In Proceedings of the 1st conference on symposium on networked systems design and implementation.Google Scholar
- Lanter, M. (2011). Collection tree protocol. http://www.vs.inf.ethz.ch/edu/FS2011/DS/slides_talks/2011-03-22_marin-lanter_collection.pdf.
- Morgan, D. (2007). Surface acoustic wave filters with applications to electronic communications and signal processing. Amsterdam, Boston: Academic Press.Google Scholar
- Pohl, A., Seifert, F., Reindl, L., Scholl, G., Ostertag, T., & Pietsch, W. (1994). Radio signals for SAW ID tags and sensors in strong electromagnetic interference. Proceedings of IEEE Ultrasonics Symposium, 1, 195–198.Google Scholar
- Reindl, L., Scholl, G., Ostertag, T., Ruppel, C. C. W., Bulst, W. E., & Seifert, F. (1996). SAW devices as wireless passive sensors. Proceedings of IEEE Ultrasonics Symposium, 1, 363–367.Google Scholar
- Scherr, H., Scholl, G., Seifert, F., & Weigel, R. (1996). Quartz pressure sensor based on SAW reflective delay line. Proceedings of IEEE Ultrasonics Symposium, 1, 347–350.Google Scholar
- Skolnik, M. (1990). Radar handbook (2nd ed.). New York: McGraw-Hill.Google Scholar