Title :
Acoustic emission sensor for identification of chemical reactions
Author :
Lec, R.M. ; Lewin, P.A. ; Musavi, M. ; Bang, S.W. ; Goel, S. ; Kwoun, S. ; Radulescu, E.
Author_Institution :
Dept. of Electr. & Biomed. Eng., Drexel Univ., Philadelphia, PA, USA
Abstract :
This paper describes a novel acoustic wave sensor designed for identification of chemical reactions. The principle of operation of the sensor is based on the acoustic emission (AE) phenomena. Chemical changes taking place during reactions are accompanied by energy transfer with some of the energy converted into acoustic waves. The AE waves frequency spectra exhibited unique patterns for the studied chemical reactions, and were used for their identification. A backpropagating neural network was used to implement the recognition of the AE chemical pattern. Potential applications of the AE chemical sensor include process control in the chemical, food, medical and pharmaceutical industries
Keywords :
acoustic emission; backpropagation; chemical sensors; neural nets; nonelectric sensing devices; process control; AE chemical pattern; acoustic emission sensor; acoustic wave sensor; backpropagating neural network; chemical reactions; chemical sensor; energy transfer; frequency spectra; process control; Acoustic emission; Acoustic sensors; Acoustic waves; Chemical industry; Chemical sensors; Energy exchange; Frequency; Neural networks; Pattern recognition; Sensor phenomena and characterization;
Conference_Titel :
Frequency and Time Forum, 1999 and the IEEE International Frequency Control Symposium, 1999., Proceedings of the 1999 Joint Meeting of the European
Conference_Location :
Besancon
Print_ISBN :
0-7803-5400-1
DOI :
10.1109/FREQ.1999.841469
