Fault Detection of Roller-Bearings Using Signal Processing and Optimization Algorithms

Fault Detection of Roller-Bearings Using Signal Processing and Optimization Algorithms

This study presents a fault detection of roller bearings through signal processing and optimization techniques. After the occurrence of scratch-type defects on the inner race of bearings, variations of kurtosis values are investigated in terms of two different data processing techniques: minimum ent...

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Bibliografische gegevens
Hoofdauteurs: Dae-Ho Kwak, Dong-Han Lee, Jong-Hyo Ahn, Bong-Hwan Koh
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2013-12-01
Reeks:Sensors
Onderwerpen:
roller-bearing
fault detection
minimum entropy deconvolution
genetic algorithm
Online toegang:http://www.mdpi.com/1424-8220/14/1/283

Internet

http://www.mdpi.com/1424-8220/14/1/283

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