The invention provides a self-adaptive separation and enhancement method for
ultrasonic guided wave multi-mode signals, and relates to the technical field of nondestructive detection.The method comprises the steps that a baseline state
voucher is established and verified, comprehensive baseline reliability is obtained by calculating
voucher validity, maturity and stability, and the quality of reference data is ensured; thirdly, calculating
mode purity, an energy attenuation mismatch coefficient and a
signal structure complexity entropy based on the physical relevance of the real-
time signal so as to quantify the intrinsic conformity of the real-
time signal; then, constructing a dynamic working condition
base line matched with the current working condition, and calculating an environment working condition deviation degree representing a real-
time signal deviation degree by applying a
mahalanobis distance; and finally, taking the environment working condition deviation degree, the baseline reliability and the like as state input, and outputting an optimal self-adaptive enhancement strategy and a
pipe section integrity
evaluation result by the
reinforcement learning model. Through step-by-step quantitative evaluation and
intelligent decision making, dynamic adaptive adjustment of a
signal processing strategy is realized.