Automated damage detection and characterization of polymer composite images using Tsallis‐particle swarm optimization‐based multilevel threshold and multifractals-Reference-Cited by-同舟云学术

Automated damage detection and characterization of polymer composite images using Tsallis‐particle swarm optimization‐based multilevel threshold and multifractals

Published:2020-04-27 Issue:8 Volume:41 Page:3194-3207
ISSN:0272-8397
Container-title:Polymer Composites
language:en
Short-container-title:Polymer Composites

Author:

Agastinose Ronickom Jac Fredo¹^ORCID,Retnakaran Sobhana Abilash²,Robert Femi³,Nadaradjane Sri Madhava Raja⁴,Chelliah Suresh Kumar⁵

Affiliation:

1. Department of Electrical and Electronics EngineeringNanyang Technological University Singapore Singapore

2. Department of Electrical and Electronics EngineeringCollege of Engineering Kollam Kerala India

3. Department of Electrical and Electronics EngineeringSRM Institute of Science and Technology Kattankulathur Tamil Nadu India

4. Department of Electronics and Instrumentation EngineeringSt. Joseph's College of Engineering Chennai India

5. Department of Aeronautical EngineeringBharath Institute of Higher Education and Research Chennai India

Publisher

Wiley

Subject

Materials Chemistry,Polymers and Plastics,General Chemistry,Ceramics and Composites

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pc.25611

Reference48 articles.

1. Experimental investigation on the effect of glass fiber orientation on impact damage resistance under cyclic indentation loading using AE monitoring

2. Characterization of indentation damage resistance of hybrid composite laminates using acoustic emission monitoring

3. The significance of indentation in the inspection of carbon fibre-reinforced plastic panels damaged by low-velocity impact

4. On the penetration energy for fibre-reinforced plastics under low-velocity impact conditions

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