A Modal Frequency Estimation Method of Non-Stationary Signal under Mass Time-Varying Condition Based on EMD Algorithm
Round 1
Reviewer 1 Report
see atachment
Comments for author File: 
Comments.pdf
Author Response
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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
