These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

284 related articles for article (PubMed ID: 30992700)

  • 1. Hybrid Degradation Equipment Remaining Useful Life Prediction Oriented Parallel Simulation considering Model Soft Switch.
    Ge C; Zhu Y; Di Y
    Comput Intell Neurosci; 2019; 2019():9179870. PubMed ID: 30992700
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Adaptive relevant vector machine based RUL prediction under uncertain conditions.
    Wang X; Jiang B; Lu N
    ISA Trans; 2019 Apr; 87():217-224. PubMed ID: 30509478
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification.
    Yang J; Peng Y; Xie J; Wang P
    Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746338
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model.
    Yan M; Wang X; Wang B; Chang M; Muhammad I
    ISA Trans; 2020 Mar; 98():471-482. PubMed ID: 31492470
    [TBL] [Abstract][Full Text] [Related]  

  • 5. New Particle Filter Based on GA for Equipment Remaining Useful Life Prediction.
    Li K; Wu J; Zhang Q; Su L; Chen P
    Sensors (Basel); 2017 Mar; 17(4):. PubMed ID: 28350341
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Degradation prediction model based on a neural network with dynamic windows.
    Zhang X; Xiao L; Kang J
    Sensors (Basel); 2015 Mar; 15(3):6996-7015. PubMed ID: 25806873
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Novel Method for Remaining Useful Life Prediction of Roller Bearings Involving the Discrepancy and Similarity of Degradation Trajectories.
    Luo H; Bo L; Liu X; Zhang H
    Comput Intell Neurosci; 2021; 2021():2500997. PubMed ID: 34899887
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A novel based-performance degradation indicator RUL prediction model and its application in rolling bearing.
    Yang C; Ma J; Wang X; Li X; Li Z; Luo T
    ISA Trans; 2022 Feb; 121():349-364. PubMed ID: 33845998
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Data-Driven Method for Predicting Remaining Useful Life of Bearing Based on Bayesian Theory.
    Gao T; Li Y; Huang X; Wang C
    Sensors (Basel); 2020 Dec; 21(1):. PubMed ID: 33383918
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bearing Remaining Useful Life Prediction Based on Naive Bayes and Weibull Distributions.
    Zhang N; Wu L; Wang Z; Guan Y
    Entropy (Basel); 2018 Dec; 20(12):. PubMed ID: 33266668
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Remaining Useful Life Estimation for Engineered Systems Operating under Uncertainty with Causal GraphNets.
    Mylonas C; Chatzi E
    Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640645
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Complex Rotation Quantum Dynamic Neural Networks (CRQDNN) using Complex Quantum Neuron (CQN): Applications to time series prediction.
    Cui Y; Shi J; Wang Z
    Neural Netw; 2015 Nov; 71():11-26. PubMed ID: 26277609
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Remaining Useful Life Prediction Based on Adaptive SHRINKAGE Processing and Temporal Convolutional Network.
    Wang H; Yang J; Shi L; Wang R
    Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36501790
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Research on engine remaining useful life prediction based on oil spectrum analysis and particle filtering].
    Sun L; Jia YX; Cai LY; Lin GY; Zhao JS
    Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Sep; 33(9):2478-82. PubMed ID: 24369656
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Double-Channel Hybrid Deep Neural Network Based on CNN and BiLSTM for Remaining Useful Life Prediction.
    Zhao C; Huang X; Li Y; Yousaf Iqbal M
    Sensors (Basel); 2020 Dec; 20(24):. PubMed ID: 33322457
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Neural Network-Based Joint Prognostic Model for Data Fusion and Remaining Useful Life Prediction.
    Gao Y; Wen Y; Wu J
    IEEE Trans Neural Netw Learn Syst; 2021 Jan; 32(1):117-127. PubMed ID: 32167915
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning.
    Li X; Zhang W; Ma H; Luo Z; Li X
    IEEE Trans Neural Netw Learn Syst; 2022 Oct; 33(10):5480-5491. PubMed ID: 33852404
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Extended Relevance Vector Machine-Based Remaining Useful Life Prediction for DC-Link Capacitor in High-Speed Train.
    Wang X; Jiang B; Ding SX; Lu N; Li Y
    IEEE Trans Cybern; 2022 Sep; 52(9):9746-9755. PubMed ID: 33382664
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Intelligent Online Monitoring of Rolling Bearing: Diagnosis and Prognosis.
    Hotait H; Chiementin X; Rasolofondraibe L
    Entropy (Basel); 2021 Jun; 23(7):. PubMed ID: 34206610
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Remaining Useful Life (RUL) Prediction of Equipment in Production Lines Using Artificial Neural Networks.
    Kang Z; Catal C; Tekinerdogan B
    Sensors (Basel); 2021 Jan; 21(3):. PubMed ID: 33573297
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.