Cavitation diagnosis for water distribution pumps: An early-stage approach combing vibration signal-based neural network with high-speed photography

Tong, Zheming; Líu, Hao; Cao, Xiangkun Elvis; Westerdahld, Dane; X, Jin

doi:10.1016/j.seta.2022.102919

Cited by 11 publications

(4 citation statements)

References 50 publications

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“…dimax S high-speed camera was then positioned on a vertical line in the center of the impeller to ensure that the main moving part of the object was in the center of the image. Then, as indicated in Figure 4, modified the position and angle of the fill light so that it generated a diffuse reflection with the shell surface, avoiding the production of high light that interfered with the cavitation observation [14]. In addition, selected the optimal lens focal length and shooting distance so that the camera could catch the cavitation phenomenon at its highest resolution.…”

Section: Cavitation High-speed Camera Methodsmentioning

confidence: 99%

Experimental study on multiple characteristics of multi-source AE signals during cavitation process of waterjet propulsion pump

Feng,

Zhu,

Tao

et al. 2024

J. Phys.: Conf. Ser.

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In order to investigate the cavitation-induce acoustic emission (AE) characteristics of a waterjet propulsion pump, a synchronous experimental system consisting of a test pump, a high-speed camera, and acoustic emission sensors has been established. The characteristic parameters of AE signals are extracted to established the quantitative relationships between cavitation status and AE signals. These characteristic parameters mainly consist of the ringing count rate Rc , energy release rate Er , and Hurst index Hi . The cavitation status of the test pump is reflected in the characteristic parameters of the AE signals obtained by the sensors installed at different locations. The incipient blade suction side (SS) cavitation as well as the blade tip gap cavitation can be detected through the change of characteristic parameters of AE signals at impeller inlet. The start of head drop can be reflected by the variety of characteristic parameters of AE signals at impeller middle. Large-scale cavitation will lead to the breakdown of pump performance and dramatically characteristic parameters’ change of AE signals can be measured by the sensors located at impeller outlet.

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Section: Cavitation High-speed Camera Methodsmentioning

confidence: 99%

Experimental study on multiple characteristics of multi-source AE signals during cavitation process of waterjet propulsion pump

Feng,

Zhu,

Tao

et al. 2024

J. Phys.: Conf. Ser.

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show abstract

“…Studies have shown that the position near the volute tongue area is the most suitable position to obtain vibration signals, as shown in Figure 8a; because of the high degree of interaction between the rotating part impeller and the fixed part volute, the position has a positive effect [67]. Tong et al [68] studied the relationship between pump performance, vibration signal, and cavitation image; they installed eight sensors at different positions of the pump body, and the measurement point distribution is shown in Figure 8b. The results show that the vibration signal measured by the sensor near the cavitation zone can better detect the cavitation faults, while the sensor far from the cavitation zone has the lowest accuracy (from high to low: #5, #2, #4, #3, #7, #1, #8).…”

Section: Vibration Measuring Point Locationmentioning

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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“…It is indisputable that the observed outcome is compelling, however, investigations into cavitation format and transport direction have predominantly relied on qualitative descriptions. As a result, these studies fall short of meeting the requirements of modern digital management and quantitative evaluation [17]. This challenge prompted Cervone et al [18,19] to develop bubble image extraction technologies since 2006, enabling precise definition of cavitation areas [20].…”

Section: Introductionmentioning

confidence: 99%

Investigation of cavitation evolvement in a pump inducer by proper orthogonal decomposition analysis of video images

Cao,

Yuan,

Kong

et al. 2023

Meas. Sci. Technol.

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The aim of this study is to develop a contour extraction method for the investigation of the temporal and spatial characteristics of cavitation evolution in high-speed inducers. Cavitation experiments were conducted, and corresponding snapshots were captured using a high-speed camera subsequently. The raw images were processed while using threshold value filtering techniques to extract only relevant bubble information. Proper orthogonal decomposition was employed to explore the evolving characteristics in a quantitative manner. Results show that the cavitation evolution process is an unsteady process when viewed from the side. In high net positive suction head (NPSH) environments, multiple small-scale spatial modals contribute significantly to the effective proportion of the cavitation structure. The attached sheet cavitation exists in the blade edge which is the main embodiment of cavitation area evolvement. Under low NPSH conditions, the primary flow feature can be reflected by a low-mode flow pattern, associated with the inducer’s rotation effect. The evolving regulation of cavitation area in developed stage is closely submitted to the trigonometric function. And the exhibited spatial coefficient exposes the hidden reflux vortex feature. The proposed image separation techniques enable the quantification of morphological features, which can provide technical details for the digital design of inducers.

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Cavitation diagnosis for water distribution pumps: An early-stage approach combing vibration signal-based neural network with high-speed photography

Cited by 11 publications

References 50 publications

Experimental study on multiple characteristics of multi-source AE signals during cavitation process of waterjet propulsion pump

Experimental study on multiple characteristics of multi-source AE signals during cavitation process of waterjet propulsion pump

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

Investigation of cavitation evolvement in a pump inducer by proper orthogonal decomposition analysis of video images

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