Structural Health Monitoring Using Machine Learning and Cumulative Absolute Velocity Features

Round 1

Reviewer 1 Report

This is an excellent paper where the authors have presented a study on structural health monitoring using machine learning, the paper is nicely written and the presentations of the results are good. Overall, I could not spot any major flaws both in technical writing as well as in scientific content of the paper. I therefore, recommend the paper for publication. Congratulations to the authors. 

Some minor comments for the authors to consider: 
1. The paper is technically interesting; however, the novelty of this paper should be further justified and to establish the contributions to the new body of knowledge.
2. Abstract section should be improved considering the following structure: introduction, problem statement, methodology, results, and conclusion.
3. In the Introduction section, the authors should improve the research background, the review of significant works in the specific study area, the knowledge gap, the problem statement, and the novelty of the research.
4. The literature review should be extended to more recently published works available in the literature. 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The paper deals with ML features with reduced dimensionality.

The paper makes use of computer simulations and experiments on a building structure. The paper is fairly well written, the structure is good and the scientific soundness is high.

The major issue with the paper, is the description of the methodology. The description is not very clear requiring several reads for clear understanding so significant work should be done to improve this section.

Also, the number of references are appropriate, but the discussion of the references is limited. Several of the references are in blocks. The authors should discuss the contribution of the significant papers in the area in more detail.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf