The application discloses a kind of
underwater vehicle degradation characterization method, belong to
underwater vehicle technical field, steps are as follows: the
full life cycle data collected by sensor carried on
underwater vehicle is collected, data is preprocessed;
Feature extraction is carried out to the data after pre-
processing;Design a kind of layered cooperation
particle swarm optimization algorithm based on
fuzzy analytic hierarchy process, the selected feature is obtained by screening the extracted feature, and the final optimal
feature combination is obtained;Dynamic correlation
mahalanobis distance is used to weight and fuse the selected feature, and the fusion feature is obtained;Using the UMAP dimension reduction method with degradation
perception, the
degradation process is divided into three stages of early, middle and late according to the
full life cycle data, an independent UMAP submodel is trained in each stage, and then the
degradation index is fused by transfer learning.This application breaks through the limitation of single
signal, realizes multi-component
coupling degradation recognition, strengthens early degradation capture, reduces the rate of missed judgment and fault risk, has environmental dynamic adaptability, and adapts to complex deep-sea working conditions.