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Feasibility of rotor fault detection from a fluid dynamics perspective

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dc.contributor.author Robbins, SL
dc.contributor.author Heyns, PS
dc.contributor.author Heyns, Johan A
dc.date.accessioned 2021-04-23T10:00:21Z
dc.date.available 2021-04-23T10:00:21Z
dc.date.issued 2020-05
dc.identifier.citation Robbins, S., Heyns, P. & Heyns, J.A. 2020. Feasibility of rotor fault detection from a fluid dynamics perspective. <i>Journal of Applied Fluid Mechanics, 13(6).</i> http://hdl.handle.net/10204/11991 en_ZA
dc.identifier.issn 1735-3572
dc.identifier.issn 1735-3645
dc.identifier.uri DOI: 10.47176/jafm.13.06.31466
dc.identifier.uri http://hdl.handle.net/10204/11991
dc.description.abstract The majority of condition monitoring techniques employed today consider the acquisitioning and analysis of structural responses as a means of profiling machine condition and performing fault detection. Modern research and newer technologies are driving towards non-contact and non-invasive methods for better machine characterisation. Yet current literature lacks investigations into the monitoring and detection of anomalous conditions using fluid dynamic behaviour. If one considers unshrouded rotors which are exposed to a full field of fluid interaction such as helicopter rotors and wind turbines amongst others, such an approach could potentially be beneficial. In this work, time-dependent fluid dynamic data is numerically simulated around a helicopter tail rotor blade using URANS CFD with the Open FOAM software package. Pressures are probed at locations in the field of the rotor and compared to results attained in an experimental investigation where good correlation is seen between the results. A blade is modelled with a seeded fault in the form of a single blade out of plane by 4°. Comparisons are drawn between the blade in its ‘healthy’ and ‘faulty’ configurations. It is observed that the fault can be detected by deviations in the amplitudes of the pressure signals for a single revolution at the probed locations in the field. These deviations manifest as increases in the frequency spectrum at frequencies equivalent to the rotational rate (1 per revolution frequencies). The results described are assessed for their fidelity when the pressure is probed at different locations in the domain of the rotor. Deviations in the pressure profiles over the surface of the blades are also seen for the asymmetric rotor configuration, but may prove too sensitive for practical application. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri http://eds.b.ebscohost.com/eds/detail/detail?vid=0&sid=7315ac75-c086-4be7-893e-f0e58012a896%40sessionmgr102&bdata=JnNpdGU9ZWRzLWxpdmU%3d#AN=146743411&db=asr en_US
dc.relation.uri https://repository.up.ac.za/bitstream/handle/2263/79180/Robbins_Feasibility_2019.pdf?sequence=1 en_US
dc.source Journal of Applied Fluid Mechanics, 13(6) en_US
dc.subject Computational Fluid Dynamic en_US
dc.subject CFD en_US
dc.subject Condition monitoring en_US
dc.subject Fault detection en_US
dc.subject Rotor en_US
dc.subject Unshrouded en_US
dc.title Feasibility of rotor fault detection from a fluid dynamics perspective en_US
dc.type Article en_US
dc.description.pages 1743-1758 en_US
dc.description.note This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. en_US
dc.description.cluster Defence and Security en_US
dc.description.impactarea Aeronautic Systems en_US
dc.identifier.apacitation Robbins, S., Heyns, P., & Heyns, J. A. (2020). Feasibility of rotor fault detection from a fluid dynamics perspective. <i>Journal of Applied Fluid Mechanics, 13(6)</i>, http://hdl.handle.net/10204/11991 en_ZA
dc.identifier.chicagocitation Robbins, SL, PS Heyns, and Johan A Heyns "Feasibility of rotor fault detection from a fluid dynamics perspective." <i>Journal of Applied Fluid Mechanics, 13(6)</i> (2020) http://hdl.handle.net/10204/11991 en_ZA
dc.identifier.vancouvercitation Robbins S, Heyns P, Heyns JA. Feasibility of rotor fault detection from a fluid dynamics perspective. Journal of Applied Fluid Mechanics, 13(6). 2020; http://hdl.handle.net/10204/11991. en_ZA
dc.identifier.ris TY - Article AU - Robbins, SL AU - Heyns, PS AU - Heyns, Johan A AB - The majority of condition monitoring techniques employed today consider the acquisitioning and analysis of structural responses as a means of profiling machine condition and performing fault detection. Modern research and newer technologies are driving towards non-contact and non-invasive methods for better machine characterisation. Yet current literature lacks investigations into the monitoring and detection of anomalous conditions using fluid dynamic behaviour. If one considers unshrouded rotors which are exposed to a full field of fluid interaction such as helicopter rotors and wind turbines amongst others, such an approach could potentially be beneficial. In this work, time-dependent fluid dynamic data is numerically simulated around a helicopter tail rotor blade using URANS CFD with the Open FOAM software package. Pressures are probed at locations in the field of the rotor and compared to results attained in an experimental investigation where good correlation is seen between the results. A blade is modelled with a seeded fault in the form of a single blade out of plane by 4°. Comparisons are drawn between the blade in its ‘healthy’ and ‘faulty’ configurations. It is observed that the fault can be detected by deviations in the amplitudes of the pressure signals for a single revolution at the probed locations in the field. These deviations manifest as increases in the frequency spectrum at frequencies equivalent to the rotational rate (1 per revolution frequencies). The results described are assessed for their fidelity when the pressure is probed at different locations in the domain of the rotor. Deviations in the pressure profiles over the surface of the blades are also seen for the asymmetric rotor configuration, but may prove too sensitive for practical application. DA - 2020-05 DB - ResearchSpace DP - CSIR J1 - Journal of Applied Fluid Mechanics, 13(6) KW - Computational Fluid Dynamic KW - CFD KW - Condition monitoring KW - Fault detection KW - Rotor KW - Unshrouded LK - https://researchspace.csir.co.za PY - 2020 SM - 1735-3572 SM - 1735-3645 T1 - Feasibility of rotor fault detection from a fluid dynamics perspective TI - Feasibility of rotor fault detection from a fluid dynamics perspective UR - http://hdl.handle.net/10204/11991 ER - en_ZA
dc.identifier.worklist 24415 en_US


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