The invention relates to the technical field of
ultrasonic detection, in particular to a cable aluminum sheath defect grading detection method based on multi-frequency guided
waves, which comprises the following steps: determining propagation characteristics of each guided
wave mode according to a
frequency dispersion curve, and determining excitation frequency for detecting a main mode based on the propagation characteristics; arranging and installing a
transducer array on the cable aluminum sheath; according to the coarse screening main
modal frequency, low-frequency guided
waves are emitted, guided wave echo signals are collected, and low-frequency guided wave coarse screening is carried out to determine a suspected defect interval; and transmitting ultrasonic guided
waves to the suspected defect interval according to the fine screening main
modal frequency, accurately positioning the suspected defect interval, determining a comprehensive
score through multi-feature weighting calculation, and determining a defect grade according to the comprehensive
score. Low-frequency guided wave coarse screening is combined with
wavelet transform and entropy
verification, a suspected defect interval can be quickly locked, high-frequency fine screening extracts multi-dimensional defect features through
variational mode decomposition, and accurate positioning of defect positions and scientific judgment of grades are achieved.