<i>K</i>-mer Frequency Encoding Model for Cable Defect Identification: A Combination of Non-Destructive Testing Approach with Artificial Intelligence

<i>K</i>-mer Frequency Encoding Model for Cable Defect Identification: A Combination of Non-Destructive Testing Approach with Artificial Intelligence

This paper describes a non-destructive detection method for identifying cable defects using <i>K</i>-mer frequency encoding. The detection methodology combines magnetic leakage detection equipment with artificial intelligence for precise identification. The cable defect identification pr...

Full description

Bibliographic Details
Main Authors: Brijesh Patel, Zih Fong Huang, Chih-Ho Yeh, Yen-Ru Shih, Po Ting Lin
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Inventions
Subjects:
<i>K</i>-mer frequency encoding
cable defects
non-destructive testing
artificial intelligence
Online Access:https://www.mdpi.com/2411-5134/8/6/132

Similar Items

Similar Items