Hasil Pencarian - Haobin Wen

  • Menampilkan 1 - 5 hasil dari 5
Perbaiki Hasil
  1. 1
    Fault Detection of Rotating Machines Using <i>poly</i>-Coherent Composite Spectrum of Measured Vibration Responses with Machine Learning

    Fault Detection of Rotating Machines Using <i>poly</i>-Coherent Composite Spectrum of Measured Vibration Responses with Machine Learning oleh Khalid Almutairi, Jyoti K. Sinha, Haobin Wen

    Diterbitkan 2024-08-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  2. 2
    Early Prediction of Remaining Useful Life for Rolling Bearings Based on Envelope Spectral Indicator and Bayesian Filter

    Early Prediction of Remaining Useful Life for Rolling Bearings Based on Envelope Spectral Indicator and Bayesian Filter oleh Haobin Wen, Long Zhang, Jyoti K. Sinha

    Diterbitkan 2024-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  3. 3
    Adaptive Band Extraction Based on Low Rank Approximated Nonnegative Tucker Decomposition for Anti-Friction Bearing Faults Diagnosis Using Measured Vibration Data

    Adaptive Band Extraction Based on Low Rank Approximated Nonnegative Tucker Decomposition for Anti-Friction Bearing Faults Diagnosis Using Measured Vibration Data oleh Haobin Wen, Long Zhang, Jyoti K. Sinha

    Diterbitkan 2022-08-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  4. 4
    Feature Extraction of Impulse Faults for Vibration Signals Based on Sparse Non-Negative Tensor Factorization

    Feature Extraction of Impulse Faults for Vibration Signals Based on Sparse Non-Negative Tensor Factorization oleh Lin Liang, Haobin Wen, Fei Liu, Guang Li, Maolin Li

    Diterbitkan 2019-09-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  5. 5
    Feature Extraction Using Sparse Kernel Non-Negative Matrix Factorization for Rolling Element Bearing Diagnosis

    Feature Extraction Using Sparse Kernel Non-Negative Matrix Factorization for Rolling Element Bearing Diagnosis oleh Lin Liang, Xingyun Ding, Fei Liu, Yuanming Chen, Haobin Wen

    Diterbitkan 2021-05-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:

Alat Pencarian: