To improve the early friction fault diagnosis capability
the singular value decomposition method was introduced. By utilizing the characteristic of strong periodicity of rotating machinery vibration signals
a Hankel matrix was constructed from the signals collected in a full cycle. The singular values of the matrix were obtained through the singular value decomposition method
and the singular values were divided into a large-value region
a medium-value region and a small-value region. Results show that the main harmonic periodic components in the signal can be reconstructed according to the singular values in the large-value region
the noise components in the signal can be reconstructed according to the singular values in the small-value region
and the signal reconstructed from the singular values in the medium-value region can monitor the periodic impact phenomenon
which is a typical feature of early friction faults. Combined with the analysis of a friction fault case
the impact feature of twice per cycle is effectively extracted
and the instantaneous energy impact phenomenon is further extracted
which verifies the feasibility of this method for early friction fault diagnosis.
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references
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