A Fault Prediction Method for CNC Machine Tools Based on SE-ResNet-Transformer

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

This paper proposes a fault prediction method for CNC machine tools based on SE-ResNet-Transformer. In general, this paper lacks sufficient novelties in this direction. Many researches have focused on SE-ResNet. Even though experiments validate the effectiveness, but the superiority is not quite demonstrated. While the experiments are interesting, the methodology part is not quite attractive. Therefore, I don't recommend the publication of this paper.

Comments on the Quality of English Language

No

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

comment in the attachment

Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

In this manuscript, a new combined model is proposed for failure prediction of CNC machine tools with SE-ResNet and Transformer, and experimental results illustrate the performance of the proposed method. Some comments about this manuscript are presented below

1)     What is the meaning of CNC? Its full name should be provided when it first appeared.

2)     The title of Figure 1 is not appropriate. Maybe “the fault prediction flowchart of the proposed fault prediction method” is more suitable.

3)     How to select the model parameters of the proposed method for a specific application?

4)     Many data-driven fault tolerate methods have been proposed in recent decades, and they should also been introduced in the introduction. For example: broad convolutional neural network based industrial process fault diagnosis with incremental learning capability, robust monitoring and fault isolation of nonlinear industrial processes using denoising autoencoder and elastic net, MoniNet with concurrent analytics of temporal and spatial information for fault detection in industrial processes.

5)     Some state-of-the-art methods should be adopted as comparison methods to make a comprehensive comparison.

6)     The authors should carefully checked the article to avoid grammar and spelling mistakes.

Comments on the Quality of English Language

The authors should carefully checked the grammar and spelling mistakes of the artilce.

Author Response

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Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Comments and Suggestions for Authors

Thank you very much for correcting the article.

The authors have made the necessary corrections.

Reviewer 3 Report

Comments and Suggestions for Authors

The authors have addressed all the questions I raised, and thus this article can be accepted.

Comments on the Quality of English Language

The English language has been improved after the first round of revision.