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Titel:

Analysis of Acceleration Data using Low-Power Embedded Devices to Detect Gear Faults

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Rupprecht, Bernhard; Vogel-Heuser, Birgit; Brederlow, Ralf; Sendlbeck, Stefan; Knoll, Erich; Stahl, Karsten
Abstract:
Gear condition monitoring can prevent unexpected downtimes or sudden failure of machinery. Since gear damage usually results from tooth contact, data for reliable fault detection should be acquired as close as possible to this engagement to reduce other components' disturbances (such as vibrations). One typical gear damage mechanism is pitting. Although the detection of gear pitting using acceleration data is already covered in research, methods with integrated sen- sors and electronics into the...     »
Kongress- / Buchtitel:
19th International Conference on Automation Science and Engineering (CASE)
Verlagsort:
Cordis, New Zealand
Jahr:
2023
Monat:
August
Seiten:
6
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