Identification of rotating stall zones and the velocity of their movement in a centrifugal compressor

Kozhukhov, Y. V.; Lebedev, A. A.; Yanin, Ivan; Hai, Nguyen Min

doi:10.1063/5.0028247

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…Rotating stall is an important fault during the operation of a centrifugal compressor [4][5]. When the operating point is far away from the design working condition, the airflow can be separated in the flow channel, resulting in an unstable flow of the working fluid.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Identification of Rotating Stall for Centrifugal Compressor based on Pressure Pulsation Signals and SDKAE Network

Zhao

et al. 2022

JDMD

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Most accidents of centrifugal compressors are caused by fluid pulsation or unsteady fluid excitation. Rotating stall, as an unstable flow phenomenon in the compressor, is a difficult point in the field of fluid machinery research. In this paper, A stack denoising kernel autoencoder neural network method is proposed to study the early warning of rotating stall in a centrifugal compressor. By collecting the pressure pulsation signals of the centrifugal compressor under different flow rates in engineering practice, a double hidden layer sparse denoising autoencoder neural network is constructed. According to the output labels of the network, it can be judged whether the rotation stall occurs. At the same time, the Gaussian kernel is used to optimize the loss function of the whole neural network to improve the signal feature learning ability of the network. From the experimental results, it can be seen that the flow state of the centrifugal compressor is accurately judged, and the rotation stall early warning of the centrifugal compressor at different speeds is realized, which lays a foundation for the research of intelligent operation and maintenance of the centrifugal compressor.

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Section: Introductionmentioning

confidence: 99%

Intelligent Identification of Rotating Stall for Centrifugal Compressor based on Pressure Pulsation Signals and SDKAE Network

Zhao

et al. 2022

JDMD

View full text Add to dashboard Cite

show abstract

Identification of rotating stall zones and the velocity of their movement in a centrifugal compressor

Cited by 1 publication

References 6 publications

Intelligent Identification of Rotating Stall for Centrifugal Compressor based on Pressure Pulsation Signals and SDKAE Network

Intelligent Identification of Rotating Stall for Centrifugal Compressor based on Pressure Pulsation Signals and SDKAE Network

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