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

9th International Conference on Compressors and their Systems

Izmaylov, R.^1 ; Lebedev, A.^1

St. Petersburg State Polytechnic University, St. Petersburg, Russia^1

关键词: Biorthogonal wavelet;    Characteristic signal;    Data acquisition system;    Experimental investigations;    Mass flow measurement;    Operation reliability;    Unsteady pressure measurements;    Velocity fluctuations;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/90/1/012052/pdf
DOI  :  10.1088/1757-899X/90/1/012052

来源: IOP

【 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.