Rotating machinery faults can induce characteristic modulation effects in a vibration signal,
and their diagnosis can thus be conducted by extracting fault-induced modulation features …

Signal decomposition is an effective tool to assist identification of modal information in time-
domain signals. Two signal decomposition methods, including the empirical wavelet …

The impulse features in a condition monitoring (CM) signal usually imply the occurrence of a
defect in a rotating machine. To accurately capture the impulse components in a CM signal …

重大装备制造业是国民经济的支柱, 也是关系到国家安全的战略性产业, 而重大机械装备的运行
安全一直是备受关注的焦点. 机械设备由于工作环境恶劣, 工况复杂, 其关键部件容易受损 …

For rotating machineries, rub-impact between the surfaces of the rotor and the stator during
the rotation is a common and severe fault. The rub-impact fault will lead to a frequency …

Recently proposed variational signal decomposition methods like adaptive chirp mode
decomposition (ACMD) and generalized dispersive mode decomposition (GDMD) have …

Early fault feature extraction and fault diagnosis are of great importance for predictive
maintenance of rotating machinery. To accurately extract early fault features from original …

A novel approach for identifying the impeller defects in the centrifugal pump has been
demonstrated by extracting the single-valued neutrosophic cross-entropy (SVNCE) of …

In order to solve the problems that the fault feature of rolling bearing in early failure period is
difficult to extract and the over-decomposition problem arises when applying the variational …

The variational nonlinear chirp mode decomposition (VNCMD) requires initialization of
number of modes (NMs) and instantaneous frequency (IF). This article proposes an …