Centrifugal compressor surge detecting method based on wavelet analysis of unsteady pressure fluctuations in typical stages.

被引:2
|
作者
Izmaylov, R. [1 ]
Lebedev, A. [1 ]
机构
[1] St Petersburg State Polytech Univ, St Petersburg, Russia
关键词
D O I
10.1088/1757-899X/90/1/012052
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Centrifugal compressors are complex energy equipment. Automotive control and protection system should meet the requirements: of operation reliability and durability. In turbocompressors there are at least two dangerous areas: surge and rotating stall. Antisurge protecting systems usually use parametric or feature methods. As a rule industrial system are parametric. The main disadvantages of anti-surge parametric systems are difficulties in mass flow measurements in natural gas pipeline compressor. The principal idea of feature method is based on the experimental fact: as a rule just before the onset of surge rotating or precursor stall established in compressor. In this case the problem consists in detecting of unsteady pressure or velocity fluctuations characteristic signals. Wavelet analysis is the best method for detecting onset of rotating stall in spite of high level of spurious signals (rotating wakes, turbulence, etc.). This method is compatible with state of the art DSP systems of industrial control. Examples of wavelet analysis application for detecting onset of rotating stall in typical stages centrifugal compressor are presented. Experimental investigations include unsteady pressure measurement and sophisticated data acquisition system. Wavelet transforms used biorthogonal wavelets in Mathlab systems.
引用
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页数:10
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