Home page
Other articles
in this issue |
Optical measurement system for real-time estimation
of gas pollutants' concentration based on artificial neural network
Order
this article
Wojcik W., Gotra Z., Duk M., Kotyra A., Przylucki S.W., Smolarz A.
In this paper we present optoelectronic measurement system for monitoring
the industrial gas pollutants. The system consists of a source of light,
an optical fiber as a data transmission link, a spectrometer, an optical
detection system and a neural network unit for a real-time spectral data
processing. We have paid the major attention to the neural network structure
and its properties in gas recognition and gas concentration estimation.
Key words: neural network, power industry, spectroscopy, environmental
pollution
doi 10.3116/16091833/2/1/46/2001 |
|
References
1. Par Ragnarson, 1994. "Optical Techniques for Measurements of Atmospheric
Trace Gases" Lund Raports on Atomic Physics LRAP-152, Lund Institute of
Technology, Department of Physics, April.
2. Keller Paul E , Richard T Kozues, Kan-gas Lars J, 1993. Procceding
of the 8-th Con-fe-ren-ce on Real-Time Computer Appli-ca-tions in Nuclear,
Particle and Plasma Physics.
3. Krolopp WJ, Wójcik W, Kotyra A, Przy?ucki
S, Smolarz A, 1998. Reports of the Lodz Polytechnick, Electrical 90: 5–38.
4. Kohonen T, 1995. Self-Organizing Maps, Spriger Series in Information
Sciences.
5. Xiang Ouyang, Philip L Varghese, 1989. Appl. Optics 38. |