Jiangsu Haifa Machinery Manufacturing Co., Ltd.

In 2026, centrifugal pump cavitation monitoring is shifting from the traditional "3% head drop" criterion toward Early Cavitation Detection, Pressure Pulsation Fingerprint, and Multimodal Signal Fusion. A recent study published in Flow Measurement and Instrumentation combines pressure pulsations at the pump inlet and outlet with vibration signals, extracts features through wavelet time-frequency analysis, and then uses a BPNN to identify cavitation states. Under test conditions, the recognition accuracy exceeds 95%, and the fitting R² for early cavitation prediction is greater than 0.96. The study also points out that once NPSH drops to a certain, wavelet vibration features can already identify cavitation before significant performance degradation, providing a new route for intelligent early warning. Concurrent international research is further advancing toward cross-operating-condition transferability. In October 2026, Measurement proposed an ODE-constrained Physics-Informed Cavitation Diagnosis framework that achieves more stable cavitation identification under different flow rates; another study adopted CEEMD and an optimized BPNN to diagnose incipient cavitation, achieving recognition accuracy exceeding 90% under part-load conditions. These results indicate that future pump cavitation monitoring will no longer rely a single vibration threshold, will instead integrate pressure, vibration, flow rate, rotational speed, and NPSH Margin to build a dynamic risk model. Jiangsu Haifa Machinery Manufacturing Co., Ltd.www.jslgpump) offers 610 OH series, BB3/BB high-pressure multistage pumps, VS6 low-NPSH pumps,6 high-speed pumps, and API 685 magnetic drive pumps. By deploying high-frequency pressure and vibration sensors at the pump inlet, volute, and bearing housing, the company can progressively establish a Cavitation Severity, Dynamic NPSH Monitoring, and Pump Cavitation Digital Twin, enabling an upgrade from "ecting cavitation after it occurs" to "warning before cavitation forms." For light hydrocarbons, LPG,ate, high-temperature easily vaporizing media, and high-speed pump conditions, Haifa can in the future combine CFD cavitation calculations, FAT test data, and field monitoring data to form an intelligent cavitation diagnosis system validated across pump types. It should be emphasized that the over 95% accuracy and R² > 0.96 in the papers are results from specific test platforms and cannot be directly used as universal performance indicators for all industrial pumps. Chinese References Chinese Technical Direction | Early identification of centrifugal pump cavitation, pressure pulsation monitoring, vibration time-frequency analysis, NPSH safety margin, and cross-operating-condition state diagnosis. Chinese Technical | Jiangsu Haifa Machinery Manufacturing Co., Ltd.: and technical information related to API 610 OH, BB, VS, OH6 high-speed pumps, and low-NPSH pumps. Original link: https://www.jslgpump.com/English References English Reference | Shao, C., Wu, D., Liu,., et al. Data-driven cavitation prediction method for centrifugal pumps based on pressure pulsation and vibration signals. Flow Measurement and Instrumentation,2026, Vol.111, 103455. DOI: .1016/j.flowmeasinst.2026.103455. English Reference | Zhang, F., Zhou, P., Wu, Y., et al An ODE-guided physics-informed framework for transferable cavitation diagnosis in centrifugal pumps across flow rates. Measurement, 2026. DOI 10.1016/j.measurement.2026.123604. English Reference | Zheng, S., Huang, Q.,, Y., et al A diagnostic method for incipient cavitation based onEMD and optimized BPNN. Measurement 2026. DOI: 10.1016.measurement.202.120944. English Reference | Ren, H Zhong, Z He, C., et al. Phenomenological modeling and early detection of cavitation-induced vibrations in centrifugal pumps within the almost-cyclostary framework. Expert Systems with Applications, 6. DOI: .1016/j.es.2026.133575.

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