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On-line detection of incipient trend changes in lubricant parameters

José Miguel Salgueiro (Tribology and Interface Nanotechnology, Faculty of Mechanical Engineering, University of Ljubljana, Ljubljana, Slovenia)
Gabrijel Peršin (Department of Engineering Computing and Cybernetics, School of Engineering, Cranfield University, Bedford, UK)
Jasna Hrovatin (Academy of Design, Ljubljana, Slovenia)
Ðani Juricic (Department of Systems and Control, Institute Jožef Stefan, Ljubljana, Slovenia)
Jože Vižintin (Tribology and Interface Nanotechnology, Faculty of Mechanical Engineering, University of Ljubljana, Ljubljana, Slovenia)

Industrial Lubrication and Tribology

ISSN: 0036-8792

Article publication date: 14 September 2015

352

Abstract

Purpose

The purpose of this paper is to present a data fusion methodology for online oil condition and wear particles monitoring for assessment of a mechanical spur gear transmission system.

Design/methodology/approach

In this work, a background understanding of the tribological phenomena behind oil degradation and wear on the contact surface of mechanical elements is presented. Experimental results were obtained from oil continuously sampled from an operating a single-stage gearbox. Sampling was done by a multi-sensor automated prototype and online analysis performed by algorithms implemented in a C-code programmed graphical user interface.

Findings

Two sets of experiments were performed to observe different fault events frequently occurred in an industrial environment. Fault detection was achieved in appropriate time under constant operating conditions. Under variable operating conditions, same results were obtained by adjusting analysis parameters to critical operation conditions.

Originality/value

The value of this research work is the integration of the hardware and software necessary for online monitoring of oil condition and mechanical wear. The setup integrates online sampling with data acquisition, wireless communication, change detection and fault recognition computation. The approach has application in non-destructive online condition-based maintenance.

Keywords

Acknowledgements

The work has been done in the frame of the Applied Project L2-4160 supported by the Slovenian Agency for Research and Development (ARRS) and Competence Centre for Advanced Control Technologies. Operation is partly financed by the Republic of Slovenia, Ministry of Higher Education, Science and Technology and European Union (EU) – European Regional Development Fund within the Operational Programme for Strengthening Regional Development Potentials for Period 2007-2013.

Citation

Salgueiro, J.M., Peršin, G., Hrovatin, J., Juricic, Ð. and Vižintin, J. (2015), "On-line detection of incipient trend changes in lubricant parameters", Industrial Lubrication and Tribology, Vol. 67 No. 6, pp. 509-519. https://doi.org/10.1108/ILT-09-2013-0097

Publisher

:

Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited

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