| Issue |
Int. J. Simul. Multidisci. Des. Optim.
Volume 17, 2026
Recent Advances in Hyperparameter Tuning for Machine Learning Models
|
|
|---|---|---|
| Article Number | 7 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/smdo/2026003 | |
| Published online | 2026年3月20日 | |
- X. Wang, A. Zhou, T. Zhang, Reliability and reliability sensitivity analysis of rolling bearings based on contact fatigue under finite probability information, Math. Probl. Eng. 2022, 1–13 (2022) [CrossRef] [Google Scholar]
- Y. Lei, N. Li, F. Jia, J. Lin, S. Xing, A nonlinear degradation model based method for remaining useful life prediction of rolling element bearings, in: 2015 Prognostics and System Health Management Conference (PHM), 2015, pp. 1–8 [Google Scholar]
- Y. Zhu, X. Zhou, J. Cheng, Z. Liu, X. Zou, Q. Cheng, H. Xu, Y. Wang, F. Tao, Data and model synergy-driven rolling bearings remaining useful life prediction approach based on deep neural network and Wiener process, J. Manuf. Sci. Eng. 1–58 (2024), https://doi.org/10.1115/1.4067092 [Google Scholar]
- Y. Zhang, A. Wang, Remaining useful life prediction of rolling bearings using electrostatic monitoring based on two-stage information fusion stochastic filtering, Math. Probl. Eng. 2020, 2153235 (2020) [Google Scholar]
- N. Gorjian Jolfaei, R. Rameezdeen, N. Gorjian, B. Jin, C.W.K.Chow, Prognostic modelling for industrial asset health management, Safety Reliab. 41, 45–97 (2022) [Google Scholar]
- B.J. Jenkinson, I. Jenkinson, J. Wang, Delay-time concept and its application to maintenance problems, Safety Reliab. 27, 5–19 (2007) [Google Scholar]
- Y.N. Aldeoes, P. Gokhale, S.Y. Sondkar, A review of predictive maintenance of bearing failures in rotary machines by predictive analytics using machine-learning techniques, in: A. Neustein, P.N. Mahalle, P. Joshi, G.R. Shinde (Eds.), AI, IoT, Big Data and Cloud Computing for Industry 4.0, Springer International Publishing, 2023, pp. 115–138 [Google Scholar]
- D.-H. Dinh, P. Do, V.-T. Hoang, N.-T. Vo, T.Q. Bang, A predictive maintenance policy for manufacturing systems considering degradation of health monitoring device, Reliab. Eng. Syst. Safety 248, 110177 (2024) [Google Scholar]
- M.h. Faber, New approaches to inspection planning of fatigue damaged offshore platforms, Safety Reliab. 23, 35–50 (2002) [Google Scholar]
- D.-H. Dinh, P. Do, M.-H. Bui, P.-V. Dang, A dynamic inspection model for predictive maintenance considering different degrees of inspection quality, Reliab. Eng. Syst. Safety 261, 111165 (2025) [Google Scholar]
- M. Li, P.Z.H. Sun, W. He, S. Qiu, B. Liu, Rolling bearing fault diagnosis under variable working conditions based on joint distribution adaptation and SVM, 2020, https://doi.org/10.1109/IJCNN48605.2020.9207454 [Google Scholar]
- Y. Li, X. Huang, P. Ding, C. Zhao, Wiener-based remaining useful life prediction of rolling bearings using improved Kalman filtering and adaptive modification, Measurement, 182, 109706 (2021) [Google Scholar]
- D. Kuzio, R. Zimroz, A. Wyłomańska, A modified gamma process for RUL prediction based on data with time-varying heavy-tailed distribution, Inf. Sci. 690, 121603 (2025) [Google Scholar]
- L. Wang, H. Liu, Z. Pan, D. Fan, C. Zhou, Z. Wang, Long short-term memory neural network with transfer learning and ensemble learning for remaining useful life prediction, Sensors, 22, Article 15 (2022) [Google Scholar]
- J. Guo, Z. Wang, H. Li, Y. Yang, C.-G. Huang, M. Yazdi, H.S. Kang, A hybrid prognosis scheme for rolling bearings based on a novel health indicator and nonlinear Wiener process, Reliab. Eng. Syst. Safety 245, 110014 (2024) [Google Scholar]
- Z. Pang, X. Si, C. Hu, D. Du, H. Pei, A bayesian inference for remaining useful life estimation by fusing accelerated degradation data and condition monitoring data, Reliab. Eng. Syst. Safety 208, 107341 (2021) [Google Scholar]
- W. Wang, K. Kobbacy, D. Murthy, Delay time modelling, 2008, pp. 345–370. https://doi.org/10.1007/978-1-84800-011-7_14 [Google Scholar]
- W. Wang, An overview of the recent advances in delay-time-based maintenance modelling, Reliab. Eng. Syst. Safety, 106, 165–178 (2012) [Google Scholar]
- A.C.D.J. Santos, C.A.V. Cavalcante, J. Ren, S. Wu, A novel delay time modelling method for incorporating reuse actions in three-state single-component systems, Reliab. Eng. Syst. Safety, 234, 109129 (2023) [Google Scholar]
- A. Santos, C. Cavalcante, S. Wu, Discussions on the reuse of items based on the delay time modelling, in: 11th IMA International Conference on Modelling in Industrial Maintenance and Reliability (MIMAR), 2021, June 29, Online. https://cdn.ima.org.uk/wp/wp-content/uploads/2019/09/Abstract-Book-11th-IMA-International-Conference-on-Modelling-and-Industrial-Maintenance-and-Reliability-MIMAR-1.pdf [Google Scholar]
- W. Wang, Modelling the probability assessment of system state prognosis using available condition monitoring information, IMA J. Manag. Math. 17, 225–233 (2006) [Google Scholar]
- S.M. Ross, J.J. Kelly, R.J. Sullivan, W.J. Perry, D. Mercer, R.M. Davis, T.D. Washburn, E.V. Sager, J.B. Boyce, V.L. Bristow, Stochastic processes (Wiley, New York, 1996), Vol. 2. [Google Scholar]
- Z. Liu, Y. Fu, S. Zheng, J. Wei, Study on rolling bearing life based on weibull distribution and correlation coefficient optimization and maximum likelihood estimation, J. Phys.: Conf. Ser. 2383, 012124 (2022) [Google Scholar]
- H. Abubakar, S.R.M. Sabri, Incorporating simulated annealing algorithm in the Weibull distribution for valuation of investment return of Malaysian property development sector, Int. J. Simul. Multidiscip. Des. Optim. 12, 22 (2021) [CrossRef] [EDP Sciences] [Google Scholar]
- P. Nectoux, R. Gouriveau, K. Medjaher, E. Ramasso, B. Chebel-Morello, N. Zerhouni, C. Varnier, PRONOSTIA: An experimental platform for bearings accelerated degradation tests, in: Conference on Prognostics and Health Management., sur CD ROM, 2012, pp. 1–8. https://hal.science/hal-00719503 [Google Scholar]
- J. Kim, Y. Ahn, H. Yeo, A comparative study of time-based maintenance and condition-based maintenance for optimal choice of maintenance policy, Struct. Infrastruct. Eng. 12, 1525–1536 (2016) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.
