Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis
Mechanical Systems and Signal Processing(2019)
摘要
•SGMD has good decomposition performance in dealing with complex signals.•SGMD, using symplectic geometry similarity transformation, can keep the essential character of the original signals unchanged.•The SGMD method is applied to the noisy signal to verify its robustness.•The SGMD performs better on the diagnosis of rotating machinery compound fault.
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关键词
Symplectic geometry mode decomposition,Nonlinear system signal,Rotating machinery compound fault,Fault diagnosis
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