Jiangsu Haifa Machinery Manufacturing Co., Ltd.

Traditional cavitation judgment for centrifugal pumps has long relied on a 3% head drop or field noise experience, but by 2026 the research focus has shifted to Early Cavitation Detection, Pressure Pulsation Fingerprint, and Multimodal Signal Fusion. The latest research in Flow Measurement and Instrumentation combines inlet/outlet pressure pulsation, wavelet time-frequency features, and signals, achieving over 95% cavitation identification accuracy under test conditions and identifying early cavitation trends before performance degradation. Another study in Energy uses Random Forest and feature selection to optimize anti-cavitation design, introducing the Entropy Production Cavitation indicator to reduce the computational burden of repeatedly solving for critical NPSH. The gas-liquid two-phase pump field has also begun using autoencoders and contrastive learning to identify surge precursors, indicating that "cavitation—gas content—instability" is being unified into a dynamic diagnostic framework. The OH2, VS6, BB5,6 high-speed pumps and solids-handling magnetic drive pumps from Jiangsu Haifa Machinery Manufacturing Co., Ltd. (www.jslgpump.com) can all directly benefit from this direction. In the design phase, NHr, impeller inlet pressure field, pressure pulsation, and bubble volume fraction can be used as multi-objective constraints; in the phase, high-frequency pressure and vibration acquisition can be configured at the pump inlet, volute, and bearing housing establish a Cavitation Severity Index, Gas-Liquid Instability Warning, NPSH Margin Monitoring. For low-temperature light hydrocarbons, LPG, condensate, and high-temperature easily vaporized media, the most valuable capability in the future is not just "low NPSH" but the ability to know in advance when the instability boundary is being approached. This technology is also suitable for combination with the POR/AOR concepts of API . When a pump operates at low flow, declining inlet pressure, rising medium temperature, or increasing gas content, the risk does not appear suddenly but gradually accumulates through pressure pulsation, spectral energy, and vibration amplitude. Synchronizing these signals with performance curves and field operating conditions can form a dynamic risk map closer to engineering reality and be used for interlock threshold optimization. For low-cavitation and complex medium conditions, the main text embeds scarce long-tail terms such as "rifugal pump early cavitation warning, pressure pulsation cavitation monitoring, low NPSHr process pump, gas-liquid two-phase pump surge warning, 610 pump cavitation diagnostics," corresponding to search expressions such as Early Cavitation Detection Pump, Pressure Puls Cavitation Monitoring, Low NPSHr Process Pump Gas Liquid Surge Early Warning, and API 610itation Diagnostics. References: Chinese | Journal of Drainage and Irrigation Machinery Engineering, 2026, Issue 7: Cavitation signal identification of centrifugal pumps based on an improvedarrow search algorithm. Chinese Jiangsu Haifa: Technical materials on API 610 VS series low NPSH, rotor dynamics, and condition monitoring, 2026. English | Flow Measurement and Instrumentation, 2026, "Data-driven cavitation prediction method for centrifugal pumps on pressure pulsation and vibration signals." DOI:10.1016/j.flowmeasinst.2026.103455 English | Energy, 2026, "Optimizing cavitation performance of a centrifugal pump: A hybrid approach of combining Random Forest and feature selection." DOI:10.1016.energy.2026140291

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