By Topic

Electrical Impedance Spectroscopy Sensing for Industrial Processes

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Manoochehr Nahvi ; Dept. of Electr. Eng., Univ. of Guilan, Rasht, Iran ; Brian S. Hoyle

A sensing method is presented which offers major potential benefits for industrial processes. The method, developed from electrical spectroscopy, aims to discriminate between the component materials in a process and, with calibration data, identify specific materials; for example in batch chemical reactors for the manufacture of pharmaceutical products. The method addresses the key design need to complete a sensing operation within a temporal window that allows for the process dynamics. Two key system requirements are considered. First, a review is included of candidate excitation signals, in terms of the major parameters of interest, for the relevant frequency range. Second, the acquisition of the corresponding response signals and the extraction of the spectroscopic data from which the materials of interest may be identified. This is based upon an algorithm which is introduced based on the wavelet transform. The composite method is illustrated in trials using a process impedance simulation model and experimental tests on a crystallization process. This paper offers conclusions for applications of the fast sensing method to characterize different process (and other) materials.

Published in:

IEEE Sensors Journal  (Volume:9 ,  Issue: 12 )