Early detection of defects in gear systems using autocorrelation of morlet wavelet transforms

Ayad, Mouloud (author), Saoudi, Kamel (author), Rezki, Mohamed (author), Benziane, Mourad (author), Arabi, Abderrazak (author)

In recent days, supervision task of industrial systems is vital and the prediction of damages avoids many problems. If any system' defects are not detected in early stage, this system will continue in degradation and may be causing serious economic loss. In the industrial systems, the defects change the behavior and characteristics of the vibration signal. This change is the signature of the presence of the defect. The challenge is the early detection of this signature. The difficulty of the vibration signal is that the signal is very noisy, non-stationary and non-linear. In this study, a new method for early defect detection of a gear system is proposed. This approach is based on vibration analysis by trying to find defect's signature in the vibration signal. This approach has used the Autocorrelation of Morlet Wavelet Transforms (AMWT). Firstly, the simulation validation is introduced. The validation of the approach on real system is given in the second validation part.

• Language: English
• Keywords: autocorrelation, early fault diagnosis, gear systems, vibration analysis, scalograms, morlet wavelet transforms
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FS - Faculty of Mechanical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2022
• Number of pages: Str. 56-65
• Numbering: Vol. 68, no. 1
• PID: 20.500.12556/RUL-134721
• UDC: 621.8:517.44
• ISSN on article: 0039-2480
• DOI: 10.5545/sv-jme.2021.7384
• COBISS.SI-ID: 95304195
• Publication date in RUL: 27.01.2022

Record is a part of a journal

• Title: Strojniški vestnik
• Shortened title: Stroj. vestn.
• Publisher: Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
• ISSN: 0039-2480
• COBISS.SI-ID: 762116

Licences

• License: CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
• Link: http://creativecommons.org/licenses/by-nc/4.0/
• Description: A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
• Licensing start date: 06.12.2021
• Applies to: Accepted for publication

Secondary language

• Language: Slovenian
• Title: Zgodnje odkrivanje okvar na zobniških prenosnikih z Morletovo valčno transformacijo
• Keywords: avtokorelacija Morletovih valčnih transformacij, zgodnje diagnosticiranje napak, zobniški prenosniki, analiza vibracij, skalogrami

Projects

• Funder: Other - Other funder or multiple funders
• Funding programme: Algerian Ministry of Higher Education and Scientific Research
• Project number: A10N01UN100120220001