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Nonlinear Parameters for Monitoring Gear: Comparison Between Lempel-Ziv, Approximate Entropy, and Sample Entropy Complexity
Joint Authors
Guilbault, Raynald
Kedadouche, Mourad
Thomas, Marc
Tahan, Antoine
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-01
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Vibration analysis is the most used technique for defect monitoring failures of industrial gearboxes.
Detection and diagnosis of gear defects are thus crucial to avoid catastrophic failures.
It is therefore important to detect early fault symptoms.
This paper introduces signal processing methods based on approximate entropy (ApEn), sample entropy (SampEn), and Lempel-Ziv Complexity (LZC) for detection of gears defects.
These methods are based on statistical measurements exploring the regularity of vibratory signals.
Applied to gear signals, the parameter selection of ApEn, SampEn, and LZC calculation is first numerically investigated, and appropriate parameters are suggested.
Finally, an experimental study is presented to investigate the effectiveness of these indicators and a comparative study with traditional time domain indicators is presented.
The results demonstrate that ApEn, SampEn, 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.
American Psychological Association (APA)
Kedadouche, Mourad& Thomas, Marc& Tahan, Antoine& Guilbault, Raynald. 2015. Nonlinear Parameters for Monitoring Gear: Comparison Between Lempel-Ziv, Approximate Entropy, and Sample Entropy Complexity. Shock and Vibration،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1078407
Modern Language Association (MLA)
Kedadouche, Mourad…[et al.]. Nonlinear Parameters for Monitoring Gear: Comparison Between Lempel-Ziv, Approximate Entropy, and Sample Entropy Complexity. Shock and Vibration No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1078407
American Medical Association (AMA)
Kedadouche, Mourad& Thomas, Marc& Tahan, Antoine& Guilbault, Raynald. Nonlinear Parameters for Monitoring Gear: Comparison Between Lempel-Ziv, Approximate Entropy, and Sample Entropy Complexity. Shock and Vibration. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1078407
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078407