Next Article in Journal
Study of the Pattern Preparation and Performance of the Resistance Grid of Thin-Film Strain Sensors
Next Article in Special Issue
Digital Tri-Axis Accelerometer with X/Y-Axial Resonators and Z-Axial Capacitive Seesaw
Previous Article in Journal
Implementation of ANN-Based Auto-Adjustable for a Pneumatic Servo System Embedded on FPGA
Previous Article in Special Issue
A High-Sensitivity Resonant Magnetic Sensor Based on Graphene Nanomechanical Resonator
 
 
Article
Peer-Review Record

A Hybrid Algorithm for Noise Suppression of MEMS Accelerometer Based on the Improved VMD and TFPF

Micromachines 2022, 13(6), 891; https://doi.org/10.3390/mi13060891
by Yongjun Zhou 1, Huiliang Cao 2,* and Tao Guo 2
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Micromachines 2022, 13(6), 891; https://doi.org/10.3390/mi13060891
Submission received: 7 May 2022 / Revised: 23 May 2022 / Accepted: 24 May 2022 / Published: 31 May 2022
(This article belongs to the Special Issue MEMS Inertial Sensors)

Round 1

Reviewer 1 Report

In this article, the improved VMD and TFPF are proposed to denoise the HGMA’s output signal. The experimental results show that the improved VMD and TFPF denoising method has the smaller signal distortion, stronger denoising ability, the highest SNR, and lowest RMSE, so it can be adopted to denoise the output signal of the high-g mems accelerometer to improve its accuracy. Before the acceptance, the authors need to answer the following questions.

  1. In part 3, please indicate the source of the HGMA, for example, a reference, a datasheet, or the fabrication process that you performed to fabricate the device.

 

  1. Please describe the Wheatstone bridge of the HGMA, and please list the fundamental parameters, like sensitivity, resolution, dynamic range, and so on.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

This paper proposed the improved VMD and TFPF to denoise the HGMA’s output signal. By comparing the denoising results of different denoising algorithms show that the improved VMD and TFPF denoising method can be adopted to denoise the output signal of the high-g mems accelerometer to improve its accuracy. The paper is well organized and well written, but the paper needs minor revision before publication, and I have some other suggestions that may help the paper to be better for readers:

  1. In the fourth paragraph of the third section, the author first explains that the working mode is the first-order mode and the fourth-order mode cannot be excited, so the end of this paragraph is a little redundant, and it is suggested that the author delete it.
  2. The order in which the charts appear in the text should correspond to the text, that is, table 3 should appear after Figure 18.
  3. The English should be further polished, some sentences should be written in a better format.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Back to TopTop