Thermal image based fault diagnosis for rotating machinery-Reference-Cited by-同舟云学术

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Thermal image based fault diagnosis for rotating machinery

Published:2015-11 Issue: Volume:73 Page:78-87
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Janssens Olivier,Schulz Raiko,Slavkovikj Viktor,Stockman Kurt,Loccufier Mia,Van de Walle Rik,Van Hoecke Sofie

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference27 articles.

1. Detection of lubrication starved bearings in electrical motors by means of vibration analysis;Bokoski;Tribol. Int.,2010

2. Online wind turbine fault detection through automated scada data analysis;Zaher;Wind Energy,2009

3. Simap: intelligent system for predictive maintenance: application to the health condition monitoring of a windturbine gearbox;Garcia;Comput. Indus.,2006

4. Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection;Schlechtingen;Mech. Syst. Signal Process.,2011

5. Infrared thermography for condition monitoring – a review;Bagavathiappan;Infrared Phys. Technol.,2013

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