Diagnosis of combined faults in Rotary Machinery by Non-Naive Bayesian approach-Reference-Cited by-同舟云学术

Diagnosis of combined faults in Rotary Machinery by Non-Naive Bayesian approach

Published:2017-02 Issue: Volume:85 Page:56-70
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Asr Mahsa Yazdanian,Ettefagh Mir Mohammad,Hassannejad Reza,Razavi Seyed Naser

Publisher

Elsevier BV

Subject

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

Reference26 articles.

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4. Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines;Zhang;Mech. Syst. Signal Process.,2013

5. Feature extraction of rolling bearing's early weak fault based on EEMD and tunable Q-factor wavelet transform;Wang;Mech. Syst. Signal Process.,2014

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