Anomaly Identification of Wind Turbine Yaw System Based on Two-Stage Attention–Informer Algorithm

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

The study's focus on practical application in wind turbine operations enhances its relevance to industry needs, potentially reducing operational costs and enhancing system reliability.

While the manuscript provides detailed descriptions of methodologies, improving clarity in the presentation of results and discussion could enhance reader understanding and facilitate replication of the study.

To strengthen the findings, additional comparative analysis with a broader range of algorithms or case studies could provide deeper insights into the proposed method's performance and robustness across different operational scenarios.

Further discussion on the potential impact of the proposed method on reducing yaw system failures and operational costs, supported by quantitative estimates or case examples, would strengthen the manuscript's conclusions.

Comments on the Quality of English Language

Need minor revisions.

Author Response

Please see the attachment for detailed reply.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

Paper is good and can be accepted after minor revision.

1. Figure 1 should be revised with more details.

2. Predition model should be dearibed more in details.

3. Why different sections in conclusion?

4. Authors are encouraged to compare thier results. 

5.  Abnormal case details should be improved. 

6. Lacks novelty in introduction 

7. What is the practical application of this study?

7.

 

Author Response

Please see the attachment for detailed reply.

Author Response File: Author Response.pdf