Journal article
Classification of chemical systems using acoustic emission and neural networks
Proceedings of the First Joint BMES/EMBS Conference : serving humanity advancing technology, Oct. 13-16, 99, Atlanta, GA, USA, v 2, pp 811-811
01 Jan 1999
Abstract
A novel acoustic wave sensor capable of classification of chemical reactions has been designed, fabricated and tested. The principle of sensor operation is based on the acoustic emission phenomena. The acoustic emission chemical (AEC) sensor consists of four sections: the measurement cell with ultrasonic transducers operating in the frequency range from 90 kHz to 2 MHz, the frequency domain signal detection unit, the signal processing unit based on a neural network and a computer controlled data acquisition system.
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Details
- Title
- Classification of chemical systems using acoustic emission and neural networks
- Creators
- Ryszard Lec - Drexel UniversityPeter Lewin - Drexel UniversitySun Kwoun - Drexel UniversityEmil Radulescu - Drexel University
- Publication Details
- Proceedings of the First Joint BMES/EMBS Conference : serving humanity advancing technology, Oct. 13-16, 99, Atlanta, GA, USA, v 2, pp 811-811
- Conference
- First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society, 21st (Atlanta, Georgia, United States, 13 Oct 1999–13 Oct 1999)
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Other Identifier
- 991019186522304721