Dublin Core
Title
HURST ANALYSIS OF INDUCTION MOTOR VIBRATIONS FROM AGING PROCESS
Abstract
Keywords:Hurst exponents; Long-term dependence; Motor vibration; Aging process. ABSTRACT Different algorithms for Hurst exponent estimation, namely aggregated variance, absolute moment, Higuchi and Peng method, are applied to eight different vibration signals obtained ininduction motor aging process. Signals were obtained with accelerometers during an artificial fluting, thermal and chemical aging process. Applicability of Hurst exponent analysis for motor age detection is discussed based on estimation results. Drop of the exponent value for degraded states with respect to the original state is detected, while no monotonic relationship between subsequent states is found. The anti-persistent nature of vibrations is confirmed.
Keywords
Article
PeerReviewed
PeerReviewed
Identifier
ISSN 2233-1565
Publisher
International Burch University
Date
2013-05-24
Extent
2045
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