Unified discriminant manifold learning for rotating machinery fault diagnosis

This publication has 40 references indexed in Scilit:

• Time–frequency manifold sparse reconstruction: A novel method for bearing fault feature extraction
  Mechanical Systems and Signal Processing, 2016
• A fault diagnosis methodology for rolling element bearings based on advanced signal pretreatment and autoregressive modelling
  Journal of Sound and Vibration, 2016
• Weak fault diagnosis of rotating machinery based on feature reduction with Supervised Orthogonal Local Fisher Discriminant Analysis
  Neurocomputing, 2015
• Multi-fault diagnosis for rotating machinery based on orthogonal supervised linear local tangent space alignment and least square support vector machine
  Neurocomputing, 2015
• Grey Wolf Optimizer
  Advances in Engineering Software, 2014
• Supervised locally linear embedding projection (SLLEP) for machinery fault diagnosis
  Mechanical Systems and Signal Processing, 2011
• A Discussion on Visual Interactive Data Exploration Using Self-Organizing Maps
  2011
• Locally linear discriminant embedding: An efficient method for face recognition
  Pattern Recognition, 2008
• Efficient and Robust Feature Extraction by Maximum Margin Criterion
  IEEE Transactions on Neural Networks, 2006
• Analysis and extension of spectral methods for nonlinear dimensionality reduction
  2005