Name
Abstract | ||
|---|---|---|
This paper proposes a novel approach for machine health condition prognosis based on neuro-fuzzy systems (NFSs) and Bayesian algorithms. The NFS, after training with machine condition data, is employed as a prognostic model to forecast the evolution of the machine fault state with time. An online model update scheme is developed on the basis of the probability density function (PDF) of the NFS res... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TIM.2011.2169182 | IEEE Transactions on Instrumentation and Measurement |
Keywords | Field | DocType |
Bayesian methods,Prediction algorithms,Mathematical model,Predictive models,Noise,Adaptation models,Real time systems | Data mining,Neuro-fuzzy,Computer science,Particle filter,Algorithm,Condition monitoring,Artificial neural network,Probability density function,Bayes estimator,Online model,Bayesian probability | Journal |
Volume | Issue | ISSN |
61 | 2 | 0018-9456 |
Citations | PageRank | References |
9 | 0.79 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chaochao Chen | 1 | 118 | 8.77 |
| Bin Zhang | 2 | 35 | 3.95 |
| George J. Vachtsevanos | 3 | 137 | 16.28 |