Monitoring gears by vibration measurements: Lempel-Ziv complexity and Approximate Entropy as diagnostic tools

Unexpected failures of industrial gearboxes may cause significant economic losses. It is therefore important to detect early fault symptoms. This paper introduces signal processing methods based on approximate entropy (ApEn) and Lempel-Ziv Complexity (LZC) for defect detection of gears. Both methods...

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Bibliographic Details
Main Authors: Kedadouche Mourad, Thomas Marc, Tahan Antoine, Guilbault Raynald
Format: Article
Language:English
Published: EDP Sciences 2015-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20152007001