• Electronics Optics & Control
  • Vol. 28, Issue 11, 79 (2021)
HU Chenghao and HU Changhua
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3969/j.issn.1671-637x.2021.11.017 Cite this Article
    HU Chenghao, HU Changhua. On RUL Prediction Method Based on Bayesian Neural Network with Different Distribution Combinations[J]. Electronics Optics & Control, 2021, 28(11): 79 Copy Citation Text show less
    References

    [5] BARALDI P, MANGILI F, ZIO E.Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data[J].Reliability Engineering and System Safety, 2013, 112(4):94-108.

    [6] SANKARARAMAN S.Significance interpretation and quantification of uncertainty in prognostics and remaining useful life prediction[J].Mechanical Systems and Signal Processing, 2015, 52(2):228-247.

    [7] GAL Y.Uncertainty in deep learning[D].Cambridge:University of Cambridge, 2016.

    [8] PENG W, YE Z S, CHEN N.Bayesian deep-learning-based health prognostics toward prognostics uncertainty[J].IEEE Transactions on Industrial Electronics, 2020, 67(3):2283-2293.

    [9] NEAL R.Bayesian learning via stochastic dynamics[C]//Neural Information Processing Systems, NIPS, 1993:77-89.

    [10] BLUNDELL C, CORNEBISE J, KAVUKCUOGLU K, et al.Weight uncertainty in neural networks[C]//International Conference on Machine Learning(ICML), 2015:11-19.

    [11] HINTON G E, VAN CAMP D.Keeping neural networks simple by minimizing the description length of the weights[C]//Computational Learning Theory(CLT), 1993:21-34.

    [13] SINGLETON R K, STRANGAS E G, AVIYENTE S.Extended Kalman filtering for remaining-useful-life estimation of bearings[J].IEEE Transactions on Industrial Electronics, 2014, 62(3):1781-1790.

    [14] SOUALHI A, MEDJAHER K, ZERHOUNI N.Bearing health monitoring based on Hilbert-Huang transform support vector machine and regression[J].IEEE Transactions on Instrumentation and Measurement, 2015, 64(1):52-62.

    [15] LEI Y G, LI N P, GUO L, et al.Machinery health prognostics:a systematic review from data acquisition to RUL prediction[J].Mechanical Systems and Signal Processing, 2018, 104(1):799-834.

    [16] RAVEENDRAN H, THOMAS D.Image fusion using LEP filtering and bilinear interpolation[J].International Journal of Engineering Trends and Technology, 2014, 12(9):427-431.

    [17] LECUN Y, BOTTOU L, BENGIO Y, et al.Gradient-based learning applied to document recognition[J].Proceedings of the IEEE, 1998, 86(11):2278-2324.

    [18] HOCHREITER S, SCHMIDHUBER J.Long short-term memory[J].Neural Computation, 1997, 9(8):1735-1780.

    [19] SAXENA A, CELAYA J, SAHA B, et al.Metrics for offline evaluation of prognostic performance[J].International Journal of Prognostics and Health Management, 2010, 1(1):2153-2173.

    CLP Journals

    [1] ZHANG Meng, WANG Hong, LYU Dong. Random Error of MEMS Gyroscope:Analysis and Modeling[J]. Electronics Optics & Control, 2022, 29(6): 68

    HU Chenghao, HU Changhua. On RUL Prediction Method Based on Bayesian Neural Network with Different Distribution Combinations[J]. Electronics Optics & Control, 2021, 28(11): 79
    Download Citation