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Title:

Evaluating signal processing methods for use in gearbox condition monitoring

Document type:
Konferenzbeitrag
Author(s):
Fromberger, M.; Weinberger, U.; Sc, M.; Kohn, B.; Utakapan, T.; Otto, M.; Stahl, K.
Abstract:
Intelligent machinery condition monitoring and damage diagnostics is becoming increasingly important: Meeting low maintenance budgets is of key importance in a more and more globalized and competitive market environment. Being able to detect gearbox damage early and in an automated way allows for extended service intervals, less standstill and decreased total cost. One of the know mechanisms of gear failure is the occurrence of pitting on gear teeth flanks. Advancing pitting damage leads to a sh...     »
Congress (additional information):
cited By 0
Year:
2017
CC license:
by, http://creativecommons.org/licenses/by/4.0
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