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
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Publish Date: | 2018-09-18 |
Description: |
AbstractFractional 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. see all
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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: | |
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/ |