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Article
Peer-Review Record

Research on Inter-Turn Short Circuit Fault Diagnosis of Electromechanical Actuator Based on Transfer Learning and VGG16

Electronics 2022, 11(8), 1232; https://doi.org/10.3390/electronics11081232
by Haibin Huangfu 1, Yong Zhou 1,2,*, Jianxin Zhang 3, Shangjun Ma 2,4, Qian Fang 1 and Ye Wang 1
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Electronics 2022, 11(8), 1232; https://doi.org/10.3390/electronics11081232
Submission received: 24 March 2022 / Revised: 10 April 2022 / Accepted: 11 April 2022 / Published: 13 April 2022
(This article belongs to the Special Issue Mechatronic Control Engineering)

Round 1

Reviewer 1 Report

General Comments: In this paper, the inter-turn short-circuit fault of permanent magnet synchronous motor in electromechanical actuator is analyzed, and a fault diagnosis method based on transfer learning of VGG16 convolution network is proposed. First of all, the 2D finite element model of inter-turn short circuit fault of permanent magnet synchronous motor was established in ANSOFT Maxwell and the simulation experiment analysis was completed. It was decided to use three-phase current as fault characteristic signal. Secondly, a fault diagnosis method of VGG16 deep convolutional neural network based on transfer learning is designed, and the fine tuning of the hyperparameters of the fault diagnosis model is completed by using grid search and cross verification methods. The authors are advised to do the following important in the revised paper for the better understanding of the readers

  1. Avoid the abbreviation in the abstract section. Application of the current inspection should be included in the abstract section
  2. Provide the appropriate reference for table 1. Why finite element method is used? 
  3. Explain the graphical results in detail
  4. Extend the conclusion section. Improve the introduction section of the draft
  5. the novelty of the work should be added in the last paragraph of introduction section
  6. authors should add the future recommendation and application of their work for the betterment of society

Author Response

Please see attached.

Author Response File: Author Response.pdf

Reviewer 2 Report

In this paper, the inter-turn short-circuit fault of permanent magnet synchronous motor 15 in electromechanical actuator is analyzed, and a fault diagnosis method based on transfer learning 16 of VGG16 convolution network is proposed.

Comments:

The quality of the figures is low. For example: Fig. 3, 5, 9, 10, 11, 12,

Please compare your work with others, and report in a table.

Please explain more about figure 2 (2D finite element model)

If it is possible add experimental results.

I suggest authors to do an English proofreading by a native speaker. It would improve the quality of the paper.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

This manuscript is a resubmission of an earlier submission. The following is a list of the peer review reports and author responses from that submission.


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