Generalized adaptive singular spectrum decomposition and its application in fault diagnosis of rotating machinery under varying speed
Bin Pang,
Pu Li,
Yanjie Zhao
et al.
Abstract:Rotating machinery fault signals often consist of multiple components with time varying frequencies under variable speed conditions. Spectral overlap exists among these components, making it difficult to independently separate the features of the components. Singular spectrum decomposition (SSD), a singular spectrum analysis-based signal decomposition method, has shown its great potential in suppressing background noise and extracting fault-related components in complex background noise environments. However, … Show more
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