Application of wavelet transform in detection of burned fuels in power boiler

Waldemar Wojcik; Andrzej Kotyra; Andrzej Smolarz; Pawel Komada

doi:10.1117/12.429780

12 June 2001 Application of wavelet transform in detection of burned fuels in power boiler

Waldemar Wojcik, Andrzej Kotyra, Andrzej Smolarz, Pawel Komada

Proceedings Volume 4425, Selected Papers from the International Conference on Optoelectronic Information Technologies; (2001) https://doi.org/10.1117/12.429780
Event: International Conference on Optoelectronic Information Technologies, 2000, Vinnytsia, Ukraine

Abstract

In power boiler control, it is very important do distinguish signals corresponding to different air/fuel ratios and different flames (pulverized coal, mazout). Since the signals obtained from flame monitoring systems are unstable, wavelet transform has been utilized in filtering these signals. Problems arise with choosing the most adequate wavelet to analyzed signal. In this paper, we investigate signals which reflects sudden cut off of mazout in industrial burner (pulverized coal is still present). Because amplitude measures are unreliable, we have been concentrated on 'frequency' measures. A method of choosing the proper wavelet and decomposition level have been proposed.

Citation Download Citation

Waldemar Wojcik, Andrzej Kotyra, Andrzej Smolarz, and Pawel Komada "Application of wavelet transform in detection of burned fuels in power boiler", Proc. SPIE 4425, Selected Papers from the International Conference on Optoelectronic Information Technologies, (12 June 2001); https://doi.org/10.1117/12.429780

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available