Cavitation Detection in Centrifugal Pump Based on Interior Flow‐Borne Noise Using WPD‐PCA‐RBF

Li, Dong; Wu, Kan; Zhu, Jiayi; Dai, Caili; Zhang, Lixin; Guo, Jinnan

doi:10.1155/2019/8768043

Cited by 11 publications

(4 citation statements)

References 15 publications

(13 reference statements)

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“…2.8 | Sound-structure coupling equation [23][24][25] As a widely used acoustic software, Actran software can quickly solve acoustic problems such as radiation, scattering and sealing of sound waves, propagation in pipes, convection effect, acoustic-vibration coupling and so on. Meanwhile, Actran software has excellent robustness, accuracy and operational efficiency.…”

Section: Turbulence Kinetic Energymentioning

confidence: 99%

The influence of blade curvature radius on the internal unsteady characteristics of a centrifugal pump

Wang,

Liu,

Cao

2024

Energy Science & Engineering

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To study the influence of the blade curvature radius on the flow‐induced vibration and noise of the centrifugal pump, the internal sound field of the IS 80‐65‐160 centrifugal pump was numerically calculated by adjusting the blade wrap angles to change the blade curvature radius. The RNG (Reynolds Time Average Simulation) turbulence model was selected for the numerical calculation of the centrifugal pump. The numerical simulation of the whole flow channel of the centrifugal pump was carried out using Ansys Fluent software, and the external characteristic curve of the centrifugal pump was obtained. The influence of different blade wrap angles on the internal pressure, velocity and Turbulent Kinetic Energy of the centrifugal pump was obtained. On the basis of the sound–structure coupling equation, the unsteady sound field of the centrifugal pump was calculated, and the time domain and frequency domain characteristics of the pressure pulsation at each monitoring point were obtained. The calculation results showed that the dynamic and static interference between the impeller and the volute tongue mainly caused the vibration of the centrifugal pump. By appropriately increasing the blade wrap angles, the pressure pulsation in the volute fluid domain could be effectively reduced. The vibration and noise test bench of the centrifugal pump was set up to verify the test. The experimental results showed that at the double‐blade frequency, the variation trend of the experimental value and the simulated value of the outflow flow‐induced noise of the centrifugal pump were consistent, which verified the accuracy of the sound field simulation calculation. When the blade wrap angle , it could effectively reduce the internal sound pressure level and the flow‐induced vibration and noise of the centrifugal pump. By adopting measures such as grid encryption at the position of the tongue, nonstationary calculation and comparison of different turbulence models, the accuracy of the calculation results of the internal flow field and sound field of the centrifugal pump is effectively improved, and the accuracy and reliability of the experimental results are ensured. The above research results had certain reference significance and application value for improving the working efficiency of centrifugal pumps and reducing flow‐induced vibration and noise.

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Section: Turbulence Kinetic Energymentioning

confidence: 99%

The influence of blade curvature radius on the internal unsteady characteristics of a centrifugal pump

Wang,

Liu,

Cao

2024

Energy Science & Engineering

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“…WPD performs time-frequency domain analysis on internal flow-borne noise signals, PCA is used for dimensionality reduction, and radial basis function neural network is used for state recognition. Finally, the recognition rate of three cavitation states (non-cavitation, initial cavitation, and severe cavitation) can reach 98.2% [94]. The psychoacoustic method, the science of human perception acoustics, was first used by Murovec et al [95] for cavitation detection in industrial environments.…”

Section: Signal Processingmentioning

confidence: 99%

A Review of Pump Cavitation Fault Detection Methods Based on Different Signals

et al. 2023

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As one of the research hotspots in the field of pumps, cavitation detection plays an important role in equipment maintenance and cost-saving. Based on this, this paper analyzes detection methods of cavitation faults based on different signals, including vibration signals, acoustic emission signals, noise signals, and pressure pulsation signals. First, the principle of each detection method is introduced. Then, the research status of the four detection methods is summarized from the aspects of cavitation-induced signal characteristics, signal processing methods, feature extraction, intelligent algorithm identification of cavitation state, detection efficiency, and measurement point distribution position. Among these methods, we focus on the most widely used one, the vibration method. The advantages and disadvantages of various detection methods are analyzed and proposed: acoustic methods including noise and acoustic emission can detect early cavitation very well; the vibration method is usually chosen first due to its universality; the anti-interference ability of the pressure pulsation method is relatively strong. Finally, the development trend of detecting cavitation faults based on signals is given: continue to optimize the existing detection methods; intelligent algorithms such as reinforcement learning and deep reinforcement learning will be gradually integrated into the field of cavitation status identification in the future; detection systems still need to be further improved to accommodate different types of pumps; advanced sensing devices combined with advanced signal processing techniques are one of the effective means to detect cavitation in a timely manner; draw on other fault detection methods such as bearing faults and motor faults.

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“…Therefore, it is important to prevent and reduce the cavitation damage of centrifugal pumps. Extracting and analyzing the features of cavitation failure mode were the first step to detecting the cavitation fault [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Study on cavitation fault features of centrifugal pumps based on principal component analysis

Fu,

Yu,

et al. 2023

J. Phys.: Conf. Ser.

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The centrifugal pump plays a key role in the ship water supply system, and cavitation is a common fault mode that leads to poor efficiency of centrifugal pumps. To select valid features as the criteria of cavitation fault diagnosis, we calculate RMS, peak factor, kurtosis factor, wave factor of raw data, and the data after empirical mode decomposition (EMD). Although the raw features can be obtained, they were still in a high-dimensional space and contain a lot of redundant information. So, Principal Component Analysis (PCA) method was used to decrease dimensions and extract sensitive features. As a case study, the data were obtained from a centrifugal pump fault simulation bench, and a variety of cavitation states were observed in the experiment. And a six-dimensional sensitive feature vector was determined through data analysis.

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Cavitation Detection in Centrifugal Pump Based on Interior Flow‐Borne Noise Using WPD‐PCA‐RBF

Cited by 11 publications

References 15 publications

The influence of blade curvature radius on the internal unsteady characteristics of a centrifugal pump

The influence of blade curvature radius on the internal unsteady characteristics of a centrifugal pump

A Review of Pump Cavitation Fault Detection Methods Based on Different Signals

Study on cavitation fault features of centrifugal pumps based on principal component analysis

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