Multichannel spectral analysis for tube leak detection

Author

Wan, Qin ; Koch, Daniel B. ; Morris, Keith W.

Author_Institution

Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA

fYear

1993

fDate

4-7 Apr 1993

Firstpage

0.666666666666667

Abstract

Research to develop multichannel spectral analysis methods, including classical and parametric techniques, for tube leak detection in fossil-fueled power plant boilers is described. Acoustic analysis is employed to detect leaks. The main idea is to monitor the continuous noise environment of the furnace and to look for specific acoustic signatures produced by leaks. A signal spectrum is estimated using the LabVIEW software package. The coherence spectrum of 2-channel signals estimated by the autoregressive technique is shown

Keywords

acoustic applications; acoustic noise; acoustic signal processing; boilers; leak detection; power engineering computing; power plants; software packages; spectral analysis; 2-channel signals; LabVIEW software package; acoustic analysis; acoustic signatures; autoregressive technique; classical techniques; coherence spectrum; continuous noise environment; fossil-fueled power plant boilers; furnace; multichannel spectral analysis; parametric techniques; signal spectrum; tube leak detection; Acoustic noise; Acoustic signal detection; Boilers; Furnaces; Leak detection; Monitoring; Power generation; Software packages; Spectral analysis; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon '93, Proceedings., IEEE

Conference_Location

Charlotte, NC

Print_ISBN

0-7803-1257-0

Type

conf

DOI

10.1109/SECON.1993.465755

Filename

465755