Machine Learning for Predictive Maintenance: Support Vector Machines and Different Kernel Functions
Author:
Publisher
Allerton Press
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.3103/S1052618822050041.pdf
Reference17 articles.
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2. Wang, K.-S., Li, Z., Braaten, J., and Yu, Q., Interpretation and compensation of backlash error data in machine centers for intelligent predictive maintenance using ANNs, Adv. Manuf., 2015, vol. 3, no. 2, pp. 97–104. https://doi.org/10.1007/s40436-015-0107-4
3. Levitt, J., Complete Guide to Preventive and Predictive Maintenance, New York: Industrial Press, 2011.
4. Jimenez, V.J., Bouhmala, N., and Gausdal, A.H., Developing a predictive maintenance model for vessel machinery, J. Ocean Eng. Sci., 2020, vol. 5, no. 4, pp. 358–386. https://doi.org/10.1016/j.joes.2020.03.003
5. Liu, Y., Yu, W., Dillon, T., Rahayu, W., and Li, M., Empowering IoT predictive maintenance solutions with AI: A distributed system for manufacturing plant-wide monitoring, IEEE Trans. Ind. Inf., 2022, vol. 18, no. 2, pp. 1345–1354. https://doi.org/10.1109/TII.2021.3091774
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