Parameter Identification of Pressure Sensors by Static and Dynamic Measurements

Computer Science – Other Computer Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Submitted on behalf of EDA Publishing Association (http://irevues.inist.fr/EDA-Publishing)

Scientific paper

Fast identification methods of pressure sensors are investigated. With regard to a complete accurate sensor parameter identification two different measurement methods are combined. The approach consists on one hand in performing static measurements - an applied pressure results in a membrane deformation measured interferometrically and the corresponding output voltage. On the other hand optical measurements of the modal responses of the sensor membranes are performed. This information is used in an inverse identification algorithm to identify geometrical and material parameters based on a FE model. The number of parameters to be identified is thereby generally limited only by the number of measurable modal frequencies. A quantitative evaluation of the identification results permits furthermore the classification of processing errors like etching errors. Algorithms and identification results for membrane thickness, intrinsic stress and output voltage will be discussed in this contribution on the basis of the parameter identification of relative pressure sensors.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Parameter Identification of Pressure Sensors by Static and Dynamic Measurements does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Parameter Identification of Pressure Sensors by Static and Dynamic Measurements, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Parameter Identification of Pressure Sensors by Static and Dynamic Measurements will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-578982

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.