Machine remaining useful life prediction: An integrated adaptive neuro-fuzzy and high-order particle filtering approach
- 1 April 2012
- journal article
- Published by Elsevier BV in Mechanical Systems and Signal Processing
- Vol. 28, 597-607
- https://doi.org/10.1016/j.ymssp.2011.10.009
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- A neural network approach for remaining useful life prediction utilizing both failure and suspension historiesMechanical Systems and Signal Processing, 2010
- Multi-step ahead direct prediction for the machine condition prognosis using regression trees and neuro-fuzzy systemsExpert Systems with Applications, 2009
- A particle-filtering approach for on-line fault diagnosis and failure prognosisTransactions of the Institute of Measurement and Control, 2009
- Neuro-fuzzy Based Condition Prediction of Bearing HealthJournal of Vibration and Control, 2009
- An adaptive predictor for dynamic system forecastingMechanical Systems and Signal Processing, 2007
- Prognosis of machine health condition using neuro-fuzzy systemsMechanical Systems and Signal Processing, 2004
- Residual Life Predictions From Vibration-Based Degradation Signals: A Neural Network ApproachIEEE Transactions on Industrial Electronics, 2004
- A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian trackingIEEE Transactions on Signal Processing, 2002
- Fault prognostics using dynamic wavelet neural networksArtificial Intelligence for Engineering Design, Analysis and Manufacturing, 2001
- Prediction of Machine Deterioration Using Vibration Based Fault Trends and Recurrent Neural NetworksJournal of Vibration and Acoustics, 1999