CNC machine tool's wear diagnostic and prognostic by using dynamic Bayesian networks-Reference-Cited by-同舟云学术

CNC machine tool's wear diagnostic and prognostic by using dynamic Bayesian networks

Published:2012-04 Issue: Volume:28 Page:167-182
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Tobon-Mejia D.A.,Medjaher K.,Zerhouni N.

Publisher

Elsevier BV

Subject

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

Reference49 articles.

1. Recent development of damage diagnosis and prognosis in engineering systems;Jiang;Recent Patents Eng.,2010

2. CEN/TC 319—Maintenance, Maintenance—maintenance terminology. EN 13306:2010, 2010.

3. Prognostic and diagnostic monitoring of complex systems for product lifecycle management: challenges and opportunities;Venkatasubramanian;Comput. Chem. Eng.,2005

4. Intelligent Fault Diagnosis and Prognosis for Engineering Systems;Vachtsevanos,2006

5. A review on machinery diagnostics and prognostics implementing condition-based maintenance;Jardine;Mech. Syst. Signal Process.,2006

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