Fault detection in roller bearing operating at low speed and varying loads using Bayesian robust new hidden Markov model

Title
Fault detection in roller bearing operating at low speed and varying loads using Bayesian robust new hidden Markov model
Authors
Keywords
Acoustic emission, Artificial neural networks (ANN), Bayesian robust new hidden Markov modeling (BRNHMM), Kullback-Leibler (KL) divergence, Maximum output probability parameter generation (MOPPG), Probabilistic neural network (PNN), RBF network
Journal
Journal of Mechanical Science and Technology
Volume 32, Issue 9, Pages 4025-4036
Publisher
Springer Nature America, Inc
Online
2018-09-14
DOI
10.1007/s12206-018-0802-8

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More