CONDITION-BASED MAINTENANCE OF MACHINES USING HIDDEN MARKOV MODELS-Reference-Cited by-同舟云学术

CONDITION-BASED MAINTENANCE OF MACHINES USING HIDDEN MARKOV MODELS

Published:2000-07 Issue:4 Volume:14 Page:597-612
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

BUNKS CAREY,MCCARTHY DAN,AL-ANI TARIK

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference6 articles.

1. Maximum likelihood estimation for multivariate observations of markov sources;LIPORACE;IEEE Transactions on Information Theory,1982

2. Elements of gear noise prediction;MARK,1992

3. Linear predictive hidden markov models and the speech signal;PORITZ;Proceedings of ICASSP, Paris, France, May,1982

4. A tutorial on hidden markov models and selected applications in speech recognition;RABINER;Proceedings of the IEEE,1989

5. Digital Processing of Speech Signals;RABINER,1978

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