Optimal filter design with progressive genetic algorithm for local damage detection in rolling bearings-Reference-Cited by-同舟云学术

Optimal filter design with progressive genetic algorithm for local damage detection in rolling bearings

Published:2018-03 Issue: Volume:102 Page:102-116
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Wodecki Jacek^ORCID,Michalak Anna^ORCID,Zimroz Radoslaw

Funder

Framework Programme for Research and Innovation Horizon

DISIRE – Integrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock

Publisher

Elsevier BV

Subject

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

Reference33 articles.

1. Selection of informative frequency band in local damage detection in rotating machinery;Obuchowski;Mech. Syst. Signal Process.,2014

2. A new feature for monitoring the condition of gearboxes in non-stationary operating conditions;Bartelmus;Mech. Syst. Signal Process.,2009

3. Demodulation of vibration signals generated by defects in rolling element bearings using complex shifted Morlet wavelets;Nikolaou;Mech. Syst. Signal Process.,2002

4. Machine fault diagnosis through an effective exact wavelet analysis;Peter;J. Sound Vib.,2004

5. Cyclostationarity by examples;Antoni;Mech. Syst. Signal Process.,2009

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