Optimized Adaptive Local Iterative Filtering Algorithm Based on Permutation Entropy for Rolling Bearing Fault Diagnosis

Samankaltaisia teoksia

• A Rolling Bearing Fault Classification Scheme Based on k-Optimized Adaptive Local Iterative Filtering and Improved Multiscale Permutation Entropy
  Tekijä: Zhang, Yi, et al.
  Julkaistu: (2021)
• Rolling Element Bearing Fault Diagnosis by Combining Adaptive Local Iterative Filtering, Modified Fuzzy Entropy and Support Vector Machine
  Tekijä: Zhu, Keheng, et al.
  Julkaistu: (2018)
• An Effective Bearing Fault Diagnosis Technique via Local Robust Principal Component Analysis and Multi-Scale Permutation Entropy
  Tekijä: Ge, Mao, et al.
  Julkaistu: (2019)
• Fault Diagnosis for Rolling Element Bearings Based on Feature Space Reconstruction and Multiscale Permutation Entropy
  Tekijä: Zhang, Weibo, et al.
  Julkaistu: (2019)
• A Novel Fault Diagnosis Scheme for Rolling Bearing Based on Convex Optimization in Synchroextracting Chirplet Transform
  Tekijä: You, Guanghui, et al.
  Julkaistu: (2020)