An Exploration into the Fault Diagnosis of Analog Circuits Using Enhanced Golden Eagle Optimized 1D-Convolutional Neural Network (CNN) with a Time-Frequency Domain Input and Attention Mechanism

Round 1

Reviewer 1 Report

1. When introduce the related work in section 2, the author should add the introduction of the related methods and papers on the improvement of the standard GEO, in order to highlight the superiority and innovativeness of the improved methods in this paper.

2. When introduce the proposed method in section 3, the author should introduce the overall network structure before elaborating the contents of each part of the network.

3. In the experimental part of section 4, the author should provide more information on the design basis of the experimental circuits, and at the same time give a more complete exposition on the selection of faulty devices and the acquisition of faulty data.

4. The author should pay attention to the consistency of naming before and after the writing of this paper. In the abstract, the proposed method is named as improved GEO, while it is named as ECWGEO after section 3.

5. The author should proofread the article carefully. For example, whether the description is repeated at the end of line 315; whether the beginning of the sentence of some articles is capitalized; whether some table citations and descriptions are missing numbers.

Moderate editing of English language is required.

Author Response

Thank you very much for your valuable questions and suggestions, which have been greatly beneficial in enhancing and improving our paper. I have carefully revised the manuscript according to your comments and have provided detailed responses to all your review comments in the attached file. Additionally, for your convenience, all the changes made in the manuscript have been highlighted in red. I hope these modifications meet your expectations, and I look forward to your further guidance and feedback.

Thank you once again for your attention and support for our research work.

Author Response File: Author Response.pdf

Reviewer 2 Report

This paper is well-written and presented. I suggest that the authors improve the data description and compare their models with other state-of-the-art models presented in the literature on the same topic.

Author Response

Thank you very much for your valuable questions and suggestions, which have been greatly beneficial in enhancing and improving our paper. I have carefully revised the manuscript according to your comments and have provided detailed responses to all your review comments in the attached file. Additionally, for your convenience, all the changes made in the manuscript have been highlighted in red. I hope these modifications meet your expectations, and I look forward to your further guidance and feedback.

Thank you once again for your attention and support for our research work.

Author Response File: Author Response.pdf

Reviewer 3 Report

After reviewing the manuscript, here are my comments:

1- Which kind of novelty is obtained by combining a few well-known methods in the field of machine learining? What is the contribution of the present paper?

2- What is the advantages of the proposed approach in comparison to the other fault finding methods? Please compare the proposed approach with the well-known and best methods in the field to reveal the capabilities of the proposed method.

3- Some analog circuits may have nonlinear elements e.g., saturation, dead-zones etc. What is the performance of the proposed method in such conditions? Please apply the method on such a circuit and report its behavior.

Author Response

Thank you very much for your valuable questions and suggestions, which have been greatly beneficial in enhancing and improving our paper. I have carefully revised the manuscript according to your comments and have provided detailed responses to all your review comments in the attached file. Additionally, for your convenience, all the changes made in the manuscript have been highlighted in red. I hope these modifications meet your expectations, and I look forward to your further guidance and feedback.

Thank you once again for your attention and support for our research work.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

In this version, the author addresses my comment and I recommend accepting it.

Authors should check for minor grammatical problems before publication.