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Peer-Review Record

Numerical and Experimental Research on Non-Reference Damage Localization Based on the Improved Two-Arrival-Time Difference Method

Sensors 2022, 22(21), 8432; https://doi.org/10.3390/s22218432
by Yaogang Wu 1,*,†, Kangwei Liu 1,†, Dinghe Li 1, Xing Shen 2 and Pengcheng Lu 1
Reviewer 1:
Reviewer 2:
Reviewer 3:
Sensors 2022, 22(21), 8432; https://doi.org/10.3390/s22218432
Submission received: 23 September 2022 / Revised: 27 October 2022 / Accepted: 27 October 2022 / Published: 2 November 2022
(This article belongs to the Section Physical Sensors)

Round 1

Reviewer 1 Report

This paper proposed a non-reference damage localisation (NRDL) method, which is established by the improved two arrival time difference method (2/ATDM) and BFGS method. The study is interesting with good organization. Some points should be revised before acceptance:

1.       How does this method detect damage if the damage location is outside the sensor array.

2.       The types of damage to which this method is applicable need to be introduced

3.       How to determine the optimal number and location of sensors? Some references can be give some suggestions: “A novel load-dependent sensor placement method ……”, and “Sensor placement algorithm …… sub-clustering strategy”.

4.       The impact of damage degree and noise on the accuracy of this method should be revealed.

5.       The boundary conditions of Fig. 3 should be given.

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

The reference for this article is low. There needs to be a lot more reference to competing numerical methods and how their method is superior. Also there has been no reference to other NRDL methods and investigating other research and how their work is superior to others is needed.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

This paper presents a method  based on optimization based on  non-reference damage

localization. The paper is well-written and easy to follow. Here are some points that need to improve.

1. Abstract should be compress give the major contribution

2. Section 4.3 should be discussed more

3. The discussion and analysis of Table 7 are not clear,

4. The Conclusion is short. 

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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