Cavitation state identification of centrifugal pump based on CEEMD-DRSN

[1]  X. Liang,et al.  Investigation on Vibration Signal Characteristics in a Centrifugal Pump Using EMD-LS-MFDFA , 2022, Processes.

[2]  L. Tan,et al.  Cavitation-vibration correlation of a mixed flow pump under steady state and fast start-up conditions by experiment , 2022, Ocean Engineering.

[3]  A. Hajnayeb Cavitation Analysis in Centrifugal Pumps Based on Vibration Bispectrum and Transfer Learning , 2021, Shock and Vibration.

[4]  G. Aggidis,et al.  Application of Spectral Kurtosis on vibration signals for the detection of cavitation in centrifugal pumps , 2021 .

[5]  Xing Yun,et al.  A carrier wave extraction method for cavitation characterization based on time synchronous average and time-frequency analysis , 2020 .

[6]  Li Jiang,et al.  A novel method based on nonlinear auto-regression neural network and convolutional neural network for imbalanced fault diagnosis of rotating machinery , 2020 .

[7]  Yuanhang Wang,et al.  Cavitation intensity recognition for high-speed axial piston pumps using 1-D convolutional neural networks with multi-channel inputs of vibration signals , 2020 .

[8]  Michael Pecht,et al.  Deep Residual Shrinkage Networks for Fault Diagnosis , 2020, IEEE Transactions on Industrial Informatics.

[9]  Lingli Cui,et al.  An adaptive data fusion strategy for fault diagnosis based on the convolutional neural network , 2020 .

[10]  L. Tan,et al.  Cavitation-Vortex-Pressure Fluctuation Interaction in a Centrifugal Pump Using Bubble Rotation Modified Cavitation Model Under Partial Load , 2020 .

[11]  Chao Qun,et al.  Identification of cavitation intensity for high-speed aviation hydraulic pumps using 2D convolutional neural networks with an input of RGB-based vibration data , 2020, Measurement Science and Technology.

[12]  Ying Wang,et al.  Study on Unstable Characteristics of Centrifugal Pump under Different Cavitation Stages , 2019, Journal of Thermal Science.

[13]  Zhang Lixin,et al.  Cavitation Detection in Centrifugal Pump Based on Interior Flow-Borne Noise Using WPD-PCA-RBF , 2019, Shock and Vibration.

[14]  Cui Dai,et al.  Detection of Inception Cavitation in Centrifugal Pump by Fluid-Borne Noise Diagnostic , 2019, Shock and Vibration.

[15]  Hee-Jun Kang,et al.  Rolling element bearing fault diagnosis using convolutional neural network and vibration image , 2019, Cognitive Systems Research.

[16]  L. Tan,et al.  Cavitation–Vortex–Turbulence Interaction and One-Dimensional Model Prediction of Pressure for Hydrofoil ALE15 by Large Eddy Simulation , 2018, Journal of Fluids Engineering.

[17]  Ming Liu,et al.  Influence of Geometry of Inlet Guide Vanes on Pressure Fluctuations of a Centrifugal Pump , 2018 .

[18]  Jianping Yuan,et al.  The characteristics investigation under the unsteady cavitation condition in a centrifugal pump , 2017 .

[19]  A. Ghanbarzadeh,et al.  Cavitation Severity Detection in Centrifugal Pumps , 2016 .

[20]  S. Yuan,et al.  Research on the characteristics of quasi-steady cavitation in a centrifugal pump , 2015 .

[21]  Xin Li,et al.  Fault Diagnosis of Water Pump Based on Probabilistic Neural Network , 2011 .

[22]  Norden E. Huang,et al.  Complementary Ensemble Empirical Mode Decomposition: a Novel Noise Enhanced Data Analysis Method , 2010, Adv. Data Sci. Adapt. Anal..

[23]  Sin-Young Lee,et al.  Acoustic diagnosis of a pump by using neural network , 2006 .

[24]  David L. Donoho,et al.  De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.

[25]  Mark F. Hamilton,et al.  An Experimental Study of Travelling-Bubble Cavitation Noise , 1981 .

[26]  Longyan Wang,et al.  Numerical method to predict vibration characteristics induced by cavitation in centrifugal pumps , 2021, Measurement Science and Technology.

[27]  Jay H. Lee,et al.  Fault detection and classification using artificial neural networks , 2018 .

[28]  He Cai-xi Research Progress of Cavition in Formation Mechanism and Technology Application , 2015 .

[29]  Norden E. Huang,et al.  Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method , 2009, Adv. Data Sci. Adapt. Anal..

[30]  Kunihiko Fukushima,et al.  Neocognitron: A Self-Organizing Neural Network Model for a Mechanism of Visual Pattern Recognition , 1982 .