Prediction of Machine Health Condition Using Neuro-Fuzzy and Bayesian Algorithms

Multi-step ahead direct prediction for the machine condition prognosis using regression trees and neuro-fuzzy systems

(2009) Van Tung Tran et al.   EXPERT SYSTEMS WITH APPLICATIONS

Neuro-fuzzy Based Condition Prediction of Bearing Health

(2009) Fagang Zhao et al.   JOURNAL OF VIBRATION AND CONTROL

A particle-filtering approach for on-line fault diagnosis and failure prognosis

(2009) Marcos E. Orchard et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework

(2008) B. Saha et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Application of Blind Deconvolution Denoising in Failure Prognosis

(2008) Bin Zhang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Blind Deconvolution Denoising for Helicopter Vibration Signals

(2008) Bin Zhang et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Dempster–Shafer regression for multi-step-ahead time-series prediction towards data-driven machinery prognosis

(2008) Gang Niu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A multi-step predictor with a variable input pattern for system state forecasting

(2008) Jie Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Prognostics of machine condition using soft computing

(2008) B. Samanta et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Input–output modelling with decomposed neuro-fuzzy ARX model

(2007) Marjan Golob et al.   NEUROCOMPUTING