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2012 | OriginalPaper | Buchkapitel

15. Simulating Unbalance for Future IVHM Applications

verfasst von : Ryan Walker, Sureshkumar Perinpanayagam, Ian Jennions

Erschienen in: Topics in Model Validation and Uncertainty Quantification, Volume 4

Verlag: Springer New York

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Abstract

Unbalance is among the most common mechanical faults in rotating machinery, and is of particular interest to the aviation industry. A state of the art machine fault simulator has been used in order to recreate a range of unbalance faults which have been studied in detail from the perspective of fault localisation. High fidelity finite element models have been created in NASTRAN NX and experimentally validated against results for the machine fault simulator. The applicability of such simulations is discussed from an IVHM perspective, along with the potential for such research to influence the development of future engine health management with respect to improved safety and maintenance.

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Literatur
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Zurück zum Zitat Domes B (2008) Vibration phenomena in aero-engines. In: 9th international conference on vibrations in rotating machinery, Exeter, UK. IMechE 1, 15–32 Domes B (2008) Vibration phenomena in aero-engines. In: 9th international conference on vibrations in rotating machinery, Exeter, UK. IMechE 1, 15–32
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Zurück zum Zitat Ganeriwala SN, Schwarz B, Richardson MH (2009) Operating deflection shapes detect unbalance in rotating equipment. J Sound Vib 43:11 Ganeriwala SN, Schwarz B, Richardson MH (2009) Operating deflection shapes detect unbalance in rotating equipment. J Sound Vib 43:11
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4.
Zurück zum Zitat Walker RB, Perinpanayagam S, Jennions I (2011) Physics-based simulation for health management of rotating machinery. In: Proceedings of the 8th international conference on condition monitoring and machinery failure prevention technologies – CM/MFPT 2011, vol 1. BINDT, Cardiff, 20–22 Jun 2011 Walker RB, Perinpanayagam S, Jennions I (2011) Physics-based simulation for health management of rotating machinery. In: Proceedings of the 8th international conference on condition monitoring and machinery failure prevention technologies – CM/MFPT 2011, vol 1. BINDT, Cardiff, 20–22 Jun 2011
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Zurück zum Zitat Machorro-López JM, Adams DE et al (2009) Identification of damaged shafts using active sensing-simulation and experimentation. J Sound Vib 327:368–390CrossRef Machorro-López JM, Adams DE et al (2009) Identification of damaged shafts using active sensing-simulation and experimentation. J Sound Vib 327:368–390CrossRef
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Metadaten
Titel
Simulating Unbalance for Future IVHM Applications
verfasst von
Ryan Walker
Sureshkumar Perinpanayagam
Ian Jennions
Copyright-Jahr
2012
Verlag
Springer New York
DOI
https://doi.org/10.1007/978-1-4614-2431-4_15

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