Self-Powered Multi-Parameter Wireless Sensing for Condition Monitoring of Marine Propulsion Shafts

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Jul 3, 2026
Van Ai Hoang Yang Gon Kim Young Chul Lee

Abstract

Self-powered multi-parameter wireless sensing enables autonomous condition monitoring of rotating marine machinery, where wired power delivery and frequent maintenance are impractical. This paper presents a self-powered wireless sensor system (SP-WSS) that integrates a compact electromagnetic energy harvester (EH) with sensors for shaft speed, torsional strain/vibration, temperature, and power monitoring. The system was installed on a 300 mm training-ship propulsion shaft and evaluated for 7.2 h under real operating conditions. The harvester delivered an average power of 487.87 mW, exceeding the system demand of 374 mW by 30.4%, and maintained wireless data acquisition during the investigated period. The measured torsional responses captured operational shaft behavior and provided fatigue-relevant loading histories. These results confirm the feasibility of the proposed SP-WSS as a practical sensing platform for prognostics and health management (PHM) applications in marine propulsion systems.

How to Cite

Hoang, V. A., Kim, Y. G. ., & Lee, Y. C. . (2026). Self-Powered Multi-Parameter Wireless Sensing for Condition Monitoring of Marine Propulsion Shafts. PHM Society European Conference, 9(1), 1–7. https://doi.org/10.36001/phme.2026.v9i1.5005
Abstract 0 | PDF Downloads 0

##plugins.themes.bootstrap3.article.details##

Keywords

Self-powered wireless sensor system, Marine propulsion shaft, Electromagnetic energy harvesting, Multi-parameter monitoring, Flexible PCB coil, Condition monitoring, Real-ship deployment, Prognostics and health management

References
Vachtsevanos, G., Lewis, F. L., Roemer, M., Hess, A., & Wu, B. (2006). Intelligent fault diagnosis and prognosis for engineering systems. John Wiley & Sons.

Askari, H. R., & Hossain, M. N. (2022). Towards utilizing autonomous ships: A viable advance in Industry 4.0. Journal of International Maritime Safety, Environmental Affairs, and Shipping, 6.

Jovanović, I., Perčić, M., BahooToroody, A., Fan, A., & Vladimir, N. (2024). Review of research progress of autonomous and unmanned shipping and identification of future research directions. Journal of Marine Engineering and Technology, 23.

Vizentin, G., Vukelic, G., Murawski, L., Recho, N., & Orovic, J. (2020). Marine propulsion system failures: A review. Journal of Marine Science and Engineering, 8(9).

Reda, K., & Yan, Y. (2019). Vibration measurement of an unbalanced metallic shaft using electrostatic sensors. IEEE Transactions on Instrumentation and Measurement, 68(5), 1467–1476.

Lee, J. K., Seung, H. M., Park, C. I., Lee, J. K., Lim, D. H., & Kim, Y. Y. (2018). Magnetostrictive patch sensor system for battery-less real-time measurement of torsional vibrations of rotating shafts. Journal of Sound and Vibration, 414, 245–258.

Rifan, J., & Pitao, Y. (2021). Application of wireless sensor network in ship control system. In Proceedings of the IEEE International Conference on Advances in Electrical Engineering and Computer Applications.

Wang, D. (2021). Ship machinery detection and diagnosis technology based on wireless sensors. Microprocessors and Microsystems, 80.

Jia, J., & Yan, X. (2020). Application of magnetic coupling resonant wireless power supply in a torque online telemetering system of a rolling mill. Journal of Electrical and Computer Engineering.

Jinliang, J., & Xiaoqiang, Y. (2021). Research on characteristics of wireless power transfer system based on U-type coupling mechanism. Journal of Electrical and Computer Engineering.

Raminosoa, T., Wiles, R. H., & Wilkins, J. (2020). Novel rotary transformer topology with improved power transfer capability for high-speed applications. IEEE Transactions on Industry Applications, 56(1), 277–286.

Nezami, S., & Lee, S. (2019). Mathematical modeling of a two degree-of-freedom vibration energy harvester for low-speed rotary structures. In ASME Design Engineering Technical Conference.

Fu, H., Mei, X., Yurchenko, D., Zhou, S., Theodossiades, S., Nakano, K., & Yeatman, E. (2021). Rotational energy harvesting for self-powered sensing. Joule, 5(5).

Zhang, Y., et al. (2023). A comprehensive review on self-powered smart bearings. Renewable and Sustainable Energy Reviews, 183.

Perrin, R., Mariani, G. B., Morand, J., & Mollov, S. (2020). PCB embedded dies for low-thickness wireless rotary transformer. In International Conference on Integrated Power Electronics Systems.

Grzybek, D., & Micek, P. (2019). Piezoelectric energy harvesting based on macro fiber composite from a rotating shaft. Physica Scripta, 94(9).

Zou, H.-X., Zhao, L.-C., Gao, Q.-H., Zuo, L., Liu, F.-R., Tan, T., & Wei, K.-X. (2017). Design and experimental investigation of a magnetically coupled vibration energy harvester using two inverted piezoelectric cantilever beams for rotational motion. Energy Conversion and Management, 148, 1391–1398.

Gunn, B., Alevras, P., Flint, J. A., Fu, H., Rothberg, S. J., & Theodossiades, S. (2021). A self-tuned rotational vibration energy harvester for self-powered wireless sensing in powertrains. Applied Energy, 302, 117479.

Cao, R., Zhang, K., Wang, H., Zhou, T., Meng, P., Yuan, Z., ... Wang, Z. L. (2017). Rotating-sleeve triboelectric–electromagnetic hybrid nanogenerator for harvesting mechanical energy. ACS Nano, 11(8), 8370–8378.

Choi, H., & Lee, J.-U. (2024). An experimental investigation of ship propulsion system fatigue damage during crash astern maneuver. Ocean Engineering, 309, 118530.

Zhang, Y., Wang, W., Xie, J., Lei, Y., Cao, J., Xu, Y., Bader, S., Bowen, C., & Oelmann, B. (2022). Enhanced variable reluctance energy harvesting for self-powered monitoring. Applied Energy, 321, 119402.

Zhang, Y., Wu, X., Lei, Y., Cao, J., & Liao, W. H. (2024). Self-powered wireless condition monitoring for rotating machinery. IEEE Internet of Things Journal, 11(2), 3095–3107.
Section
Posters