4.6 Article

Calibration Analysis of High-G MEMS Accelerometer Sensor Based on Wavelet and Wavelet Packet Denoising

Related references

Note: Only part of the references are listed.
Article Acoustics

A New Joint Denoising Algorithm for High-G Calibration of MEMS Accelerometer Based on VMD-PE-Wavelet Threshold

Huiliang Cao et al.

Summary: In this study, a combined denoising method using VMD, PE, and wavelet threshold was proposed to enhance the calibration accuracy of accelerometers. Experimental results demonstrate that this method effectively removes noise while maintaining signal fidelity.

SHOCK AND VIBRATION (2021)

Article Engineering, Electrical & Electronic

Investigation and Experiment of High Shock Packaging Technology for High-G MEMS Accelerometer

Yunbo Shi et al.

IEEE SENSORS JOURNAL (2020)

Article Automation & Control Systems

Pole-Zero Temperature Compensation Circuit Design and Experiment for Dual-Mass MEMS Gyroscope Bandwidth Expansion

Huiliang Cao et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2019)

Article Chemistry, Multidisciplinary

Temperature Drift Compensation for High-G MEMS Accelerometer Based on RBF NN Improved Method

Min Zhu et al.

APPLIED SCIENCES-BASEL (2019)

Article Computer Science, Information Systems

MEMS Accelerometer Calibration Denoising Method for Hopkinson Bar System Based on LMD-SE-TFPF

Zeyu Yan et al.

IEEE ACCESS (2019)

Article Geochemistry & Geophysics

A data-driven approach for denoising GNSS position time series

Yanyan Li et al.

JOURNAL OF GEODESY (2018)

Article Engineering, Electrical & Electronic

Design, fabrication and calibration of a high-G MEMS accelerometer

Yunbo Shi et al.

SENSORS AND ACTUATORS A-PHYSICAL (2018)

Article Engineering, Electrical & Electronic

Study on several key problems in shock calibration of high-g accelerometers using Hopkinson bar

Kangbo Yuan et al.

SENSORS AND ACTUATORS A-PHYSICAL (2017)

Article Chemistry, Analytical

An Enhanced MEMS Error Modeling Approach Based on Nu-Support Vector Regression

Deepak Bhatt et al.

SENSORS (2012)

Article Engineering, Electrical & Electronic

Application of wavelet neural network in signal processing of MEMS accelerometers

Dake Chen et al.

MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS (2011)

Article Engineering, Multidisciplinary

Temperature variation effects on stochastic characteristics for low-cost MEMS-based inertial sensor error

M. El-Diasty et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2007)