Sensor Distribution Optimization for Composite Impact Monitoring Based on AR Model and LPP

Round 1

Reviewer 1 Report

The paper optimizes sensors for impact detection, which is an interesting topic. The authors have done much exp. and num. work to proof the method. Some aspects as below need to consider:

1. Some data methods (AR, PSO, LPP, PCA, and so on) are presented, please explain their roles in your method;

2. For impact detection, the paper uses "impact state", it is not clear what "impact state" means, please explain;

3. The FEM model and results should be given;

4. What does the "impact category", "impact recognition" mean?

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

In the opinion of the reviewer, the article requires reconstruction in terms of the clarity of the message.

- there is no precisely described material used to perform the modeling

- there is no described event the response of which is modeling

- there is also no indication of the type of sensor we use for modeling the response

Although the article indicates the right direction of work, there are no fundamental assumptions that will allow understanding of the work. The presented graph also does not contribute anything to the work and is not legible.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The authors have revised the paper based on the comments. This reviewer recommends for publication.

Author Response

Dear reviewer,

Thank you so much for your reviewing. We deeply appreciate your recognition of our research work. Once again, thank you for helping us to improve the manuscript.

Best wishes,

Sincerely yours,

Authors

Reviewer 2 Report

The article has been corrected, but the reviewnet still believes that Figure 7 is illegible and it is worth considering a better presentation of the results.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf