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Hideen Markov Models and Neural Networks for Fault Detection in Dynamic SystemsNone given. (From conclusion): Neural networks plus Hidden Markov Models(HMM)can provide excellene detection and false alarm rate performance in fault detection applications. Modified models allow for novelty detection. Also covers some key contributions of neural network model, and application status.
Document ID
20060038428
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
hdl:2014/34368
Authors
Smyth, Padhraic
Date Acquired
August 23, 2013
Publication Date
May 11, 1994
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Distribution Limits
Public
Copyright
Other
Keywords
space network
neural networks hidden markov model fault detection dynamic systems DSN deep

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