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Requirements for Sensor Integrating Machine Elements : A Review of Wear and Vibration Characteristics of Gears

Peters, Julian; Ott, Lorenz; Gwosch, Thomas; Matthiesen, Sven

Abstract:
For condition monitoring of machines sensor integrating standard machine elements provide advantage in acquiring high-quality, robust data from individual machine elements and reducing effort in signal processing. However, research covering small and inexpensive consumer-grade MEMS sensors with respect to integration and measurement requirements for wear detection is limited. In order to define such requirements, the state of the art of vibration-based condition monitoring of gears is reviewed and summarised. The focus is on the characteristics of progressive wear and how it might show in the vibration signal. The review finds that correlation between wear and vibration characteristics of gears exist, but the interpretation of the vibration signals is challenging and requires purpose-built signal processing methods. The review also concludes that integrated MEMS acceleration sensors are theoretically able to measure the vibration characteristics of gears to detect wear. Important characteristics are the gear mesh acceleration with its frequencies and harmonic multiples (GMFi). Frequency range requirements for the sensors depend on the operating conditions of gears, the upper frequency limit needs to be greater or equal to 1.3 GMF$_{i,max}$. ... mehr

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Volltext §
DOI: 10.5445/IR/1000127139
Veröffentlicht am 03.12.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktentwicklung (IPEK)
Publikationstyp Forschungsbericht/Preprint
Publikationsmonat/-jahr 12.2020
Sprache Englisch
Identifikator ISSN: 2194-1629
KITopen-ID: 1000127139
Verlag Karlsruher Institut für Technologie (KIT)
Umfang 15 S.
Serie KIT Scientific Working Papers ; 157
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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