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Peer-Review Record

A Modal Frequency Estimation Method of Non-Stationary Signal under Mass Time-Varying Condition Based on EMD Algorithm

Appl. Sci. 2022, 12(16), 8187; https://doi.org/10.3390/app12168187
by Lei Gao 1,†, Xiaoke Li 1,2,†, Yanchun Yao 1,2,3,*, Yucong Wang 1, Xuzhe Yang 1, Xinyu Zhao 1, Duanyang Geng 1,2, Yang Li 1 and Li Liu 1
Reviewer 1:
Reviewer 2: Anonymous
Appl. Sci. 2022, 12(16), 8187; https://doi.org/10.3390/app12168187
Submission received: 19 July 2022 / Revised: 14 August 2022 / Accepted: 14 August 2022 / Published: 16 August 2022

Round 1

Reviewer 1 Report

see atachment

Comments for author File: Comments.pdf

Author Response

Please refer to the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

A Modal Frequency Estimate Method of Non-Stationary Signal  Under Mass Time-Varying Condition Based On EM dealt with  the topics:

harvester machinery, empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD), modal frequency, operational modal analysis (OMA).

The authors  presented a method to estimate modal frequency based on empirical mode decomposition (EMD) and ensemble empirical mode decomposition (EEMD) and  some applications with success.

The paper is concise , clear  and   well organized. 

The proposed manuscript  is relevant and interesting  and the conclusions consistent with the evidence and arguments presented.  

In my honest opinion  the  paper  contains   original  results and the main question addressed by the research:

The analysis done by the authors  resulted  of the EMD showed that modal mixing existed in the IMFs of 16 test 232 points. The number of IMF components obtained by EEMD is less than EMD. EEMD anal- 233 ysis decreased mode mixing and increased accuracy, according to the authors. I agree with the authors.

I  have minor  suggestions :

Figure 4 ( needs reference)

fig 1 through 9 need  details  on  captions( subtitles)

Figure 6. and 7 ( maybe larger to better visualizations)

 The influence of parametric errors needs to be included 

The authors  could give more details  that the results showed that the proposed  approach could be  use for modal frequency identification and vibration control in complex working environment( some examples)

Author Response

Please refer to the attachment.

Author Response File: Author Response.pdf

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