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A Novel Method of Gearbox Health Vibration Monitoring Using Empirical Mode Decomposition

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Advances in Condition Monitoring of Machinery in Non-Stationary Operations

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Nowadays, many industrial types of machinery rely on different types of gears to transmit rotational torque. Gearbox faults are one of the major reasons for breakdown of industrial machinery. Therefore, gearbox diagnosing is one of the most important topics in machine condition monitoring. A number of signal processing techniques are described for the vibrodiagnostics of gearboxes, but there are also different limitations for vibration based gear diagnostic methods. For some specific requirements (e.g. time-triggered signal acquisition), not all of described techniques can be always applied in industrial reality. This paper introduces a novel, easy to use method of gearbox health vibromonitoring based on Empirical Mode Decomposition (EMD) and a time-domain analysis of vibration signal parts. Six sets of data collected from gearboxes are used to validate the proposed method. The experimental results demonstrate that the gear tooth defect can be detected and evaluated at an early stage of development when both Empirical Mode Decomposition and statistical analysis technique are used.

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Acknowledgments

The authors thank Robert Gumiński (Warsaw University of Technology, Institute of Vehicles) for providing measurement data. The authors would also like to thank the reviewer for his valuable comments and suggestions.

This work has been carried out in the framework of the COST Action TU 1105 “NVH analysis techniques for design and optimization of HYBRID and ELECTRIC vehicles”.

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Authors and Affiliations

  1. Warsaw University of Technology, Institute of Vehicles, ul. Narbutta 84, 02-524, Warsaw, Poland

    Jacek Dybała & Adam Gałęzia

Authors
  1. Jacek Dybała
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  2. Adam Gałęzia
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Corresponding author

Correspondence to Jacek Dybała .

Editor information

Editors and Affiliations

  1. Engineering Department, University of Ferrara, Ferrara, Italy

    Giorgio Dalpiaz

  2. Department of Science and Engineering Methods, University of Modena and Reggio Emilia, Reggio Emilia, Italy

    Riccardo Rubini

  3. Engineering Department, University of Ferrara, Ferrara, Italy

    Gianluca D'Elia

  4. Department of Science and Engineering Methods, University of Modena and Reggio Emilia, Reggio Emilia, Italy

    Marco Cocconcelli

  5. Mechanical Engineering Department, National School of Engineers of Sfax, Sfax, Tunisia

    Fakher Chaari

  6. Institute of Mining Engineering, Diagnostics and Vibro-Acoustics Science Laboratory, Wrocław University of Technology, Wrocław, Poland

    Radoslaw Zimroz

  7. Institute of Mining Engineering, Diagnostics and Vibro-Acoustics Science Laboratory, Wrocław University of Technology, Wrocław, Poland

    Walter Bartelmus

  8. Mechanical Engineering Department, National School of Engineers of Sfax, Sfax, Tunisia

    Mohamed Haddar

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Dybała, J., Gałęzia, A. (2014). A Novel Method of Gearbox Health Vibration Monitoring Using Empirical Mode Decomposition. In: Dalpiaz, G., et al. Advances in Condition Monitoring of Machinery in Non-Stationary Operations. Lecture Notes in Mechanical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39348-8_19

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  • DOI: https://doi.org/10.1007/978-3-642-39348-8_19

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39347-1

  • Online ISBN: 978-3-642-39348-8

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