BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

436 related articles for article (PubMed ID: 30578001)

  • 21. Research on unknown fault diagnosis of rolling bearings based on parameter-adaptive maximum correlation kurtosis deconvolution.
    He Y; Wang H; Xue H; Zhang T
    Rev Sci Instrum; 2021 May; 92(5):055103. PubMed ID: 34243358
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Rolling bearing fault diagnosis based on RQA with STD and WOA-SVM.
    Qiu W; Wang B; Hu X
    Heliyon; 2024 Feb; 10(4):e26141. PubMed ID: 38420432
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Fault Diagnosis for Rolling Bearings Using Optimized Variational Mode Decomposition and Resonance Demodulation.
    Zhang C; Wang Y; Deng W
    Entropy (Basel); 2020 Jul; 22(7):. PubMed ID: 33286510
    [TBL] [Abstract][Full Text] [Related]  

  • 24. An enhanced rolling bearing fault detection method combining sparse code shrinkage denoising with fast spectral correlation.
    Li J; Yu Q; Wang X; Zhang Y
    ISA Trans; 2020 Jul; 102():335-346. PubMed ID: 32122637
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Multiband Envelope Spectra Extraction for Fault Diagnosis of Rolling Element Bearings.
    Duan J; Shi T; Zhou H; Xuan J; Zhang Y
    Sensors (Basel); 2018 May; 18(5):. PubMed ID: 29738474
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Adaptive filtering enhanced windowed correlated kurtosis for multiple faults diagnosis of locomotive bearings.
    Zhang C; Liu Y; Wan F; Chen B; Liu J; Hu B
    ISA Trans; 2020 Jun; 101():421-429. PubMed ID: 32007258
    [TBL] [Abstract][Full Text] [Related]  

  • 27. WPD-Enhanced Deep Graph Contrastive Learning Data Fusion for Fault Diagnosis of Rolling Bearing.
    Liu R; Wang X; Kumar A; Sun B; Zhou Y
    Micromachines (Basel); 2023 Jul; 14(7):. PubMed ID: 37512779
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Incipient fault detection of rolling bearing using maximum autocorrelation impulse harmonic to noise deconvolution and parameter optimized fast EEMD.
    Zheng K; Luo J; Zhang Y; Li T; Wen J; Xiao H
    ISA Trans; 2019 Jun; 89():256-271. PubMed ID: 30587330
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Early fault feature extraction of bearings based on Teager energy operator and optimal VMD.
    Xu B; Zhou F; Li H; Yan B; Liu Y
    ISA Trans; 2019 Mar; 86():249-265. PubMed ID: 30473148
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Periodical sparse low-rank matrix estimation algorithm for fault detection of rolling bearings.
    Wang B; Liao Y; Ding C; Zhang X
    ISA Trans; 2020 Jun; 101():366-378. PubMed ID: 32035636
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Rolling Bearing Fault Diagnosis Based on WOA-VMD-MPE and MPSO-LSSVM.
    Jin Z; Chen G; Yang Z
    Entropy (Basel); 2022 Jul; 24(7):. PubMed ID: 35885150
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Rolling Bearing Composite Fault Diagnosis Method Based on Enhanced Harmonic Vector Analysis.
    Lu J; Yin Q; Li S
    Sensors (Basel); 2023 May; 23(11):. PubMed ID: 37299842
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Fault detection for planetary gearbox based on an enhanced average filter and modulation signal bispectrum analysis.
    Guo J; Zhen D; Li H; Shi Z; Gu F; Ball AD
    ISA Trans; 2020 Jun; 101():408-420. PubMed ID: 32061355
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Fault diagnosis of rolling element bearing using a new optimal scale morphology analysis method.
    Yan X; Jia M; Zhang W; Zhu L
    ISA Trans; 2018 Feb; 73():165-180. PubMed ID: 29331434
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A weighted multi-scale morphological gradient filter for rolling element bearing fault detection.
    Li B; Zhang PL; Wang ZJ; Mi SS; Liu DS
    ISA Trans; 2011 Oct; 50(4):599-608. PubMed ID: 21723552
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Multi-fault detection of rolling element bearings under harsh working condition using IMF-based adaptive envelope order analysis.
    Zhao M; Lin J; Xu X; Li X
    Sensors (Basel); 2014 Oct; 14(11):20320-46. PubMed ID: 25353982
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A Novel Fault Detection Method for Rolling Bearings Based on Non-Stationary Vibration Signature Analysis.
    Zhen D; Guo J; Xu Y; Zhang H; Gu F
    Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31527448
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A Rolling Bearing Fault Feature Extraction Algorithm Based on IPOA-VMD and MOMEDA.
    Yi K; Cai C; Tang W; Dai X; Wang F; Wen F
    Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896713
    [TBL] [Abstract][Full Text] [Related]  

  • 39. An information-based K-singular-value decomposition method for rolling element bearing diagnosis.
    Liang K; Zhao M; Lin J; Jiao J
    ISA Trans; 2020 Jan; 96():444-456. PubMed ID: 31208882
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM.
    Zhou J; Xiao M; Niu Y; Ji G
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36016042
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 22.