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Yang et al., 2017 - Google Patents

Fault diagnosis for a wind turbine generator bearing via sparse representation and shift-invariant K-SVD

Yang et al., 2017

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Document ID
6909762396076844667
Author
Yang B
Liu R
Chen X
Publication year
Publication venue
IEEE Transactions on Industrial Informatics

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Snippet

It is always a primary challenge in fault diagnosis of a wind turbine generator to extract fault character information under strong noise and nonstationary condition. As a novel signal processing method, sparse representation shows excellent performance in time-frequency …
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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
    • G01H1/003—Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines

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