Fourier-Based Adaptive Signal Decomposition Method Applied to Fault Detection in Induction Motors
, Juan Pablo Amezquita-Sanchez, Gerardo Israel Perez-Soto, Miguel Trejo-Hernandez and Jesus Rooney Rivera-Guillen *Round 1
Reviewer 1 Report
In this paper, a Fourier-based adaptive signal decomposition method applied to fault detection in induction motors is proposed. This approach may be of great interest to readers; however, some points need to be clarified before a possible publication.
-How do you define the size of the XZ sale? Where do you get equation 1?
-Would the results be improved if a square or cubic interpolation is used? Address this issue further.
-What happens to BRB failure frequency harmonics?
-The same methodology can be applied instead of using the STFT only the Notch filter for sale WZ.
-Would the STFT overlap result in a better interpolation of fk?
-Would the proposal improve with the use using a different window than the rectangular one?
-How would the proposal respond to the phase changes of the current signal?
-Was there any cross-validation?
-Check table 5 "Title2, Title 3"
Author Response
Please see the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
The paper is well written and the methodology sounding.
Before publication, I suggest the Authors to add a discussion on the computational cost of the proposed methodology making a comparison with EMD and DWT.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
The authors have improved the quality of their work according to the suggestions made. Hence, I can recommend its acceptance.
