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Monitoring gears by vibration measurements: Lempel-Ziv complexity and approximate entropy as diagnostic tools

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Kedadouche, Mourad, Thomas, Marc, Tahan, Antoine et Guilbault, Raynald. 2015. « Monitoring gears by vibration measurements: Lempel-Ziv complexity and approximate entropy as diagnostic tools ». In 4th Colloque Experimental Vibration Analysis, AVE 2014, November 18, 2014 - November 20, 2014 (Blois, France, Nov. 18-20, 2014) Coll. « MATEC Web of Conferences », vol. 20. EDP Sciences.
Compte des citations dans Scopus : 1.

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Abstract

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 are statistical measurements exploring the regularity of a vibratory signal. Applied to gear signals, the parameter selection of ApEn and LZC calculation are first numerically investigated, and appropriate parameters are suggested. Finally, an experimental study is presented to investigate the effectiveness of these indicators. The results demonstrate that ApEn and LZC provide alternative features for signal processing. A new methodology is presented combining both Kurtosis and LZC for early detection of faults. The results show that this proposed method may be used as an effective tool for early detection of gear faults.

Item Type: Conference proceeding
Professor:
Professor
Thomas, Marc
Tahan, Antoine
Guilbault, Raynald
Affiliation: Génie mécanique, Génie mécanique, Génie mécanique
Date Deposited: 20 Oct 2015 18:10
Last Modified: 21 Aug 2018 19:00
URI: http://espace2.etsmtl.ca/id/eprint/11625

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