Remaining useful life prediction of bearings with attention-awared graph convolutional network

This publication has 41 references indexed in Scilit:

• An ensemble learning-based prognostic approach with degradation-dependent weights for remaining useful life prediction
  Reliability Engineering & System Safety, 2019
• Statistical Modeling of Bearing Degradation Signals
  IEEE Transactions on Reliability, 2017
• An integrated Gaussian process regression for prediction of remaining useful life of slow speed bearings based on acoustic emission
  Mechanical Systems and Signal Processing, 2017
• A review of wind turbine bearing condition monitoring: State of the art and challenges
  Renewable and Sustainable Energy Reviews, 2016
• Bearing Degradation Evaluation Using Recurrence Quantification Analysis and Kalman Filter
  IEEE Transactions on Instrumentation and Measurement, 2014
• Optimal Detection of Changepoints With a Linear Computational Cost
  Journal of the American Statistical Association, 2012
• Wavelets on graphs via spectral graph theory
  Applied and Computational Harmonic Analysis, 2011
• Using penalized contrasts for the change-point problem
  Signal Processing, 2005
• Metal Degradation Products
  Clinical Orthopaedics and Related Research, 2003
• Differential Diagnosis of Gear and Bearing Faults
  Journal of Vibration and Acoustics, 2002