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Low speed lifting cable diagnosis using instantaneous angular speed

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Abstract

This paper describes an experimental study of lifting cable fault diagnostic based on instantaneous angular speed (IAS) technique. During the study load tests on a selection of damaged cables, it is shown that IAS increases significantly after the damage is inflicted. The relationship between IAS signal characteristics and strand defects is investigated and it is found that the most influent parameters over IAS are speed, load and defects size. The pattern of IAS signals during a detection fault test is studied and a suggestion is made for a filtering technique to improve the recognition of imminent failure. Finally, an evaluation of the common statistical indicators was implemented. The study gave satisfactory results and shown that IAS measurement is a promising tool for the health monitoring of low speed cables.

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Abbreviations

f s :

Sampling frequency

R :

Encoder resolution

T i :

Discrete time

W i :

Instantaneous angular speed

dW i :

Differential of the instantaneous angular speed

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Acknowledgments

The authors would like to thank ITHEMM/MAGC laboratory of Reims University in France and for their financial and technical support.

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Authors and Affiliations

  1. Institute of Thermics Mechanics and Materials, University of Reims Champagne-Ardenne, Reims, 51687, France

    Souha Khadraoui, Fabrice Bolaers, Olivier Cousinard & Jean Paul Dron

Authors
  1. Souha Khadraoui
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  2. Fabrice Bolaers
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  3. Olivier Cousinard
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  4. Jean Paul Dron
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Corresponding author

Correspondence to Souha Khadraoui.

Additional information

Souha Khadraoui is currently a Ph.D. student for Cable Application Engineering at the Institute of Thermics Mechanics and Materials of Reims Champagne Ardenne University, France. Her current research interests include condition monitoring and rotating machinery control.

Fabrice Bolaers is a Professor at the University of Reims Champagne Ardenne. He is currently the Head of Mechanical Engineering Department. His research fields include dynamics of machinery, signal processing, health monitoring, diagnosis and prognosis.

Olivier Cousinard is an Associate Professor at URCA (Reims Champagne Ardennes University). His research department is the Institute of Thermic Mechanics and Materials of Reims. Since 2017. He is the Department Chief of DUT GIM (Genius Industrial and Maintenance). He is working on vibratory analysis and instantaneous angular speed (IAS) for the health monitoring on rotating machines.

Jean-Paul Dron is a Professor at the University of Reims Champagne Ardenne. His research fields include dynamics of machinery, reverse problems, modal analysis, diagnosis.

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Khadraoui, S., Bolaers, F., Cousinard, O. et al. Low speed lifting cable diagnosis using instantaneous angular speed. J Mech Sci Technol 35, 1821–1828 (2021). https://doi.org/10.1007/s12206-021-0402-x

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  • DOI: https://doi.org/10.1007/s12206-021-0402-x

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