Next Article in Journal
Failure Prediction of the Rotating Machinery Based on CEEMDAN-ApEn Feature and AR-UKF Model
Next Article in Special Issue
Terahertz Single-Pixel Imaging Improved by Using Silicon Wafer with SiO2 Passivation
Previous Article in Journal
Optimizing Inverse Distance Weighting with Particle Swarm Optimization
Previous Article in Special Issue
The Gyrotrons as Promising Radiation Sources for THz Sensing and Imaging
 
 
Article
Peer-Review Record

Nondestructive Internal Defect Detection Using a CW–THz Imaging System in XLPE for Power Cable Insulation

Appl. Sci. 2020, 10(6), 2055; https://doi.org/10.3390/app10062055
by In-Sung Lee and Joong Wook Lee *
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Appl. Sci. 2020, 10(6), 2055; https://doi.org/10.3390/app10062055
Submission received: 10 February 2020 / Revised: 5 March 2020 / Accepted: 11 March 2020 / Published: 18 March 2020
(This article belongs to the Special Issue Terahertz Sensing and Imaging)

Round 1

Reviewer 1 Report

This paper presents CWT-THZ imaging method to detect defect in XLPE for power cable insulation applications. The overall paper is well written however a little better theoretical explanation of the experimental results are required. 
1. please provide more references in the introduction.

2. Why the current method is better than existing method such as EIT (Boone, K. G., & Holder, D. S. (1999). U.S. Patent No. 5,919,142. Washington, DC: U.S. Patent and Trademark Office), eddy current method (James, R., Faisal Haider, M., Giurgiutiu, V., & Lilienthal, D. (2020). A Simulative and Experimental Approach Toward Eddy Current Nondestructive Evaluation of Manufacturing Flaws and Operational Damage in CFRP Composites. Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, 3(1)) or ultrasonic method (Jhang, K. Y. (2009). Nonlinear ultrasonic techniques for nondestructive assessment of micro damage in material: a review. International journal of precision engineering and manufacturing, 10(1), 123-135). Please compare all the methods and why the current method advantageous over others. 

3. Please provide an explanation why the amplitude changes with the defect?

4. How does the material thickness or material properties affect the damage detection.

5. For multilayer materials such as power cable how this method will behave.

6. For curvature structure is this method sufficient enough to detect damage?

Author Response

.

Author Response File: Author Response.pdf

Reviewer 2 Report

Over all this is a good paper. However I have the following concerns;

performance evaluation is not adequately addressed.  The authors must provide ample materials on the limitations of the proposed methods. In particulars discussing where the method and/or sensor fails and then providing  causal reasons as to why. 

Author Response

.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The manuscript can be accepted for publication.

Back to TopTop