Coordinated approach fusing time-shift multiscale dispersion entropy and vibrational Harris hawks optimization-based SVM for fault diagnosis of rolling bearing

This publication has 43 references indexed in Scilit:

• Time-Shift Multiscale Entropy Analysis of Physiological Signals
  Entropy, 2017
• Refined scale-dependent permutation entropy to analyze systems complexity
  Physica A: Statistical Mechanics and its Applications, 2016
• Dispersion Entropy: A Measure for Time-Series Analysis
  IEEE Signal Processing Letters, 2016
• A fault diagnosis method combined with LMD, sample entropy and energy ratio for roller bearings
  Measurement, 2015
• Improved shuffled frog leaping algorithm-based BP neural network and its application in bearing early fault diagnosis
  Neural Computing and Applications, 2015
• Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals
  Applied Acoustics, 2015
• Variational Mode Decomposition
  IEEE Transactions on Signal Processing, 2013
• A New Particle Swarm Optimization Method Enhanced With a Periodic Mutation Strategy and Neural Networks
  IEEE Transactions on Evolutionary Computation, 2012
• Fine-grained permutation entropy as a measure of natural complexity for time series
  Chinese Physics B, 2009
• Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics
  Journal of Sound and Vibration, 2006