University of Oulu

Karioja, Konsta; Lahdelma, Sulo; Litak, Grzegorz; Ambrozkiewicz, Bartłomiej (2018) Extracting periodically repeating shocks in a gearbox from simultaneously occurring random vibration. In: Fifteenth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2018/MFPT 2018), Nottingham, United Kingdom 10-12 September 2018, pp. 456-464.

Extracting periodically repeating shocks in a gearbox from simultaneously occurring random vibration

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Author: Karioja, Konsta1; Lahdelma, Sulo2; Litak, Grzegorz3;
Organizations: 1Mechatronics and machine diagnostics, Faculty of technology, P.O. Box 4200, FI-90014 University of Oulu, Finland
2Tirriäisentie 11, Oulu, Finland
3Lublin University of Technology, Faculty of Mechanical Engineering, Nadbystrzycka 36, 20-618 Lublin, Poland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe201901071475
Language: English
Published: British Institute of Non-Destructive Testing, 2018
Publish Date: 2019-01-07
Description:

Abstract

Periodically repeating shocks are a quite common indication of certain defect in machinery. Detecting these shocks in early stage, before the defect is severe enough to cause failure, can provide a huge advantage in maintenance planning. The earliest possible warning of a defect may be highly important, especially in targets where failure can lead to a vast loss of production or a safety risk. Shock-like vibrations are, however, usually rather faint when the defect is a minor one. This simply means that the shocks may often be too low in magnitude to be easily detected. In this paper, we use different techniques based on real order derivative to detect gear defects. Higher real order derivative, discrete Fourier transform, and Hilbert transform are discussed.

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ISBN: 978-1-5108-7135-9
Pages: 456 - 464
Host publication: Fifteenth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2018/MFPT 2018), Nottingham, United Kingdom 10-12 September 2018
Conference: International conference on condition monitoring and machinery failure prevention technologies
Type of Publication: A4 Article in conference proceedings
Field of Science: 214 Mechanical engineering
Subjects:
Copyright information: © 2018 British Institute of Non-Destructive Testing. Published in this repository with the kind permission of the publisher.