Research on fault diagnosis model for drilling pump fluid end based on enhanced vibration-strain signals under multiple operating conditions
Gang Li,
Jiaxing Ao,
Jiayao Hu
et al.
Abstract:Fault diagnosis of the fluid end faces two challenges. One is that the vibration signal used for diagnosis contains a lot of noise, and the other is that the vibration signal cannot fully reflect the fault state. In this paper, a model based on enhanced vibration-strain signals is proposed to improve the fault diagnosis accuracy of the drilling pump fluid end. First, the sparrow search algorithm (SSA) is employed to optimize maximum correlated kurtosis deconvolution (MCKD) to enhance the impact component of th… Show more
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