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Erkennung eines fehlenden Zahns in einem Zahnradgetriebe mithilfe eines akustischen Signals
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ISBN10: 6208354927
ISBN13: 9786208354923
Publisher: Verlag Unser Wissen
Published: Dec 5 2024
Pages: 56
Weight: 0.21
Height: 0.13 Width: 6.00 Depth: 9.00
Language: German
ISBN13: 9786208354923
Publisher: Verlag Unser Wissen
Published: Dec 5 2024
Pages: 56
Weight: 0.21
Height: 0.13 Width: 6.00 Depth: 9.00
Language: German
Seit jeher werden Tonsignale verwendet, um das Empfinden von Menschen, der Natur und Tieren zu vermitteln. Heutzutage werden Tonsignale/akustische Signale vorteilhafterweise zur Überwachung des Zustands von Maschinen eingesetzt. In diesem Projekt haben wir die Anwendung von Akustik bei der Diagnose eines fehlenden Zahns in ineinandergreifenden Zahnrädern untersucht. Es wird ein Versuchsaufbau erstellt, um das akustische Signal zu erfassen, und das Signal wird mithilfe digitaler Signalverarbeitungstechniken verarbeitet. Je nach den Eigenschaften des akustischen Rohsignals, das aus dem Experiment gewonnen wird, werden herkömmliche Filter auf der Grundlage der Fourier-Transformation und die neu entwickelte Wavelet-Transformation angewendet. Die Fourier-Transformation erweitert die ursprüngliche Funktion (das Signal) in Bezug auf die orthonormale Basisfunktion von Sinus- und Kosinuswellen unendlicher Dauer, die Wavelet-Transformation kann dies jedoch auch für eine endliche Dauer tun. Einer der gro en Vorteile der Wavelet-Filterung besteht darin, dass die Zeitinformationen nicht verloren gehen. Das untersuchte Problem ist von praktischer Bedeutung für den Betrieb, die Online-Inspektion, die Fehlerprognose und die Wartung rotierender Komponenten.
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