Method and device for online identification of acoustic emission of porous metal deformation mechanism and electronic equipment
By constructing a loss function based on symbol encoding and a machine learning classifier model, combined with statistical methods and Occam's razor, the problem of insufficient label data in the identification of deformation mechanisms of porous metal materials is solved, and online identification with high accuracy and effectiveness is achieved.
CN117110442BActive Publication Date: 2026-06-26XI AN JIAOTONG UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XI AN JIAOTONG UNIV
- Filing Date
- 2023-09-27
- Publication Date
- 2026-06-26
Smart Images
Figure CN117110442B_ABST
Abstract
The application discloses a kind of porous metal deformation mechanism acoustic emission online identification method, device and electronic equipment, including collection porous metal material acoustic emission signal and characteristic parameter data and pre-processing, obtain each acoustic emission signal feature vector;Determine the loss function of porous metal material deformation, build acoustic emission machine learning classifier candidate model;Train multiple different parameters machine learning classifier candidate model;Evaluation and optimization are carried out, and preferred machine learning classifier model is selected;Preferred machine learning classifier model is applied to online identification of the deformation mechanism of porous metal material acoustic emission signal.This method can be combined with the loss function determined based on the distribution characteristics of acoustic emission signal of different deformation mechanisms, build machine learning classifier model, have the characteristics of not needing label data and high identification accuracy and effectiveness.
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