University of Oulu

Nissilä, Juhani; Lahdelma, Sulo; Laurila, Jouni (2014) Condition monitoring of the front axle of a load haul dumper with real order derivatives and generalised norms. In: The Eleventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM2014/MFPT2014, 10-12 June 2014, Manchester, UK, pp. 407-426.

Condition monitoring of the front axle of a load haul dumper with real order derivatives and generalised norms

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Author: Nissilä, Juhani1; Lahdelma, Sulo2; Laurila, Jouni1
Organizations: 1Mechatronics and Machine Diagnostics Research Group, Faculty of Technology P.O. Box 4200, FI-90014 University of Oulu, Finland
2Engineering Office Mitsol Oy Tirriäisentie 11, FI-90540 Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.8 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2018091835968
Language: English
Published: British Institute of Non-Destructive Testing, 2014
Publish Date: 2018-09-18
Description:

Abstract

Fractional calculus and generalised norms provide a powerful toolkit for analysing vibration from rotating machines. They have been used effectively in the condition monitoring of immobile machines. A harsh environment and varying operating conditions complicate the reliable condition monitoring of mobile machines in underground mining industry. In this paper, we focus on the condition monitoring of the front axle of a load haul dumper and the numerical calculation of complex order derivatives and integrals. Measurements are performed with accelerometers, which measure horizontal and vertical vibrations near the planetary gearboxes. A tachometer records the rotational speed of the drive shaft, which is essential for recognising different operation stages of the machine. We describe how the mentioned difficulties can be overcome and what real order derivatives and generalised norms can reveal about the condition of the axle. An improved algorithm for the numerical calculation of complex order derivatives and integrals is given.

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ISBN Print: 978-1-63439-505-2
Pages: 407 - 426
Host publication: The Eleventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM2014/MFPT2014, 10-12 June 2014, Manchester, UK
Conference: International conference on condition monitoring and machinery failure prevention technologies
Type of Publication: A4 Article in conference proceedings
Field of Science: 111 Mathematics
213 Electronic, automation and communications engineering, electronics
214 Mechanical engineering
Subjects:
LHD
Copyright information: © 2014 British Institute of Non-Destructive Testing. Creative Commons CC-BY-NC. Paper presented at CM 2014/MFPT 2014, The Eleventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Manchester, UK, 10-12 June 2014.
  https://creativecommons.org/licenses/by-nc/4.0/