Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Design of a Rapid and Accurate Calibration System for Pressure Sensors with Minimized Temperature Variation
by
Cui, Juntong
, Jiang, Yanfeng
, Zhang, Shubin
in
Accuracy
/ Algorithms
/ Analysis
/ Calibration
/ Circuits
/ Communication
/ Computers
/ Design
/ Embedded systems
/ finite element method (FEM) simulation
/ Methods
/ Microelectromechanical systems
/ Neural networks
/ nonlinearity and zero drift
/ Numerical analysis
/ Power supply
/ Semiconductors
/ sensor calibration system
/ sensor conditioning
/ Sensors
/ Silicon
/ Simulation methods
/ Software
/ Temperature
/ temperature compensation
2025
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Design of a Rapid and Accurate Calibration System for Pressure Sensors with Minimized Temperature Variation
by
Cui, Juntong
, Jiang, Yanfeng
, Zhang, Shubin
in
Accuracy
/ Algorithms
/ Analysis
/ Calibration
/ Circuits
/ Communication
/ Computers
/ Design
/ Embedded systems
/ finite element method (FEM) simulation
/ Methods
/ Microelectromechanical systems
/ Neural networks
/ nonlinearity and zero drift
/ Numerical analysis
/ Power supply
/ Semiconductors
/ sensor calibration system
/ sensor conditioning
/ Sensors
/ Silicon
/ Simulation methods
/ Software
/ Temperature
/ temperature compensation
2025
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Design of a Rapid and Accurate Calibration System for Pressure Sensors with Minimized Temperature Variation
by
Cui, Juntong
, Jiang, Yanfeng
, Zhang, Shubin
in
Accuracy
/ Algorithms
/ Analysis
/ Calibration
/ Circuits
/ Communication
/ Computers
/ Design
/ Embedded systems
/ finite element method (FEM) simulation
/ Methods
/ Microelectromechanical systems
/ Neural networks
/ nonlinearity and zero drift
/ Numerical analysis
/ Power supply
/ Semiconductors
/ sensor calibration system
/ sensor conditioning
/ Sensors
/ Silicon
/ Simulation methods
/ Software
/ Temperature
/ temperature compensation
2025
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Design of a Rapid and Accurate Calibration System for Pressure Sensors with Minimized Temperature Variation
Journal Article
Design of a Rapid and Accurate Calibration System for Pressure Sensors with Minimized Temperature Variation
2025
Request Book From Autostore
and Choose the Collection Method
Overview
Miniaturized pressure sensors fabricated via micro-electro-mechanical systems (MEMSs) technology are ubiquitous in modern applications. However, the massively produced MEMS pressure sensors, prior to being practically used, need to be calibrated one by one to eliminate or minimize nonlinearity and zero drift. This paper presents a systematic design for the testing and calibration process of MEMS-based absolute pressure sensors. Firstly, a numerical analysis is carried out using finite element method (FEM) simulation, which verifies the accuracy of the temperature control of the physical calibration system. The simulation results reveal a slight non-uniformity of temperature distribution, which is then taken into consideration in the calibration algorithm. Secondly, deploying a home-made calibration system, the MEMS pressure sensors are tested automatically and rapidly. The experimental results show that each batch, which consists of nine sensors, can be calibrated in 80 min. The linearity and temperature coefficient (TC) of the pressure sensors are reduced from 46.5% full-scale (FS) and −1.35 × 10−4 V·K−1 to 1.5% FS and −8.8 × 10−7 V·K−1.
Publisher
MDPI AG
Subject
This website uses cookies to ensure you get the best experience on our website.