Machine Learning Based Predictive Maintenance of Infrastructure Facilities in the Cryolithozone
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-31328-9_3
Reference20 articles.
1. Hashemian, H.M., Bean, W.C.: State-of-the-art predictive maintenance techniques. IEEE Trans. Instrum. Meas. 60(10), 3480–3492 (2011). https://doi.org/10.1109/TIM.2009.2036347
2. Carnero, M.C.: Selection of diagnostic techniques and instrumentation in a predictive maintenance program. A case study. Decis. Support Syst. 38(4), 539–555 (2005)
3. Swanson, D.C.: A general prognostic tracking algorithm for predictive maintenance. In: 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542), Big Sky, MT, USA, vol. 6, pp. 2971–2977. https://doi.org/10.1109/aero.2001.931317 (2001)
4. Zhou, X., Xi, L., Lee, J.: Reliability-centered predictive maintenance scheduling for a continuously monitored system subject to degradation. Reliab. Eng. Syst. Saf. 92(4), 530–534 (2007)
5. Kaiser, K.A., Gebraeel, N.Z.: Predictive maintenance management using sensor-based degradation models. IEEE Trans. Syst. Man Cybern. Part A: Syst. Hum. 39(4), 840–849 (2009)
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