Model-based incipient fault diagnosis - Multi-step neuro-predictors and multiresolution signal processing

Proceedings of the International Joint Conference on Neural Networks

Volumn 1, Issue , 2002, Pages 317-322

  Parlos, Alexander G ^a   Kim, Kyusung ^a  

^a Texas AandM University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITION MONITORING; ELECTRIC CURRENT MEASUREMENT; FAULT TOLERANT COMPUTER SYSTEMS; FEATURE EXTRACTION; INDUCTION MOTORS; MATHEMATICAL MODELS; SIGNAL PROCESSING; VOLTAGE MEASUREMENT;

MODEL BASED FAULT DIAGNOSIS SYSTEM; MULTIRESOLUTION SIGNAL PROCESSING;

RECURRENT NEURAL NETWORKS;

EID: 0036076398     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

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7. Overview of wavelet/neural network fault diagnostic methods applied to rotating machinery
8. New results on recurrent network training: Unifying the algorithms and accelerating convergence
9. Application of the recurrent multilayer perception in modeling complex process dynamics
10. Multi-step-ahead prediction in complex systems using dynamic recurrent neural networks