Research on Centrifugal Pump Speed Measurement Based on Vibration Measurement

Traditional rotational speed measurement methods, such as invasive sensors and visual recognition technologies, are often constrained by physical wear and environmental limitations. This paper introduces a non-invasive rotational speed measurement approach based on vibration signal frequency spectrum analysis. The proposed method utilizes the Zoom-FFT algorithm to process vibration signals collected during pump operation, enabling the precise identification of the dominant frequency and its correlation with the pump shaft frequency for accurate speed calculation. The experimental results obtained from a centrifugal pump under varying operating conditions demonstrate the following: At a constant rotational speed, flow variations have a minimal impact on the measurement accuracy, with errors ≤0.04%. Under constant flow conditions, the speed calculation accuracy achieves an error rate of 0.27% across different speeds. Compared to traditional methods, the proposed approach exhibits superior reliability and accuracy. This non-invasive method minimizes physical wear and reduces dependency on environmental factors, offering an effective solution for mechanical equipment monitoring and fault diagnosis.

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Publication Details

Journal
Sensors
Published
2025-05-14
DOI
https://doi.org/10.3390/s25103095
Citations
2
Primary Topic
Flow Measurement and Analysis
Type
article
Field-Weighted Citation Impact
1.73

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article

Research on Centrifugal Pump Speed Measurement Based on Vibration Measurement

Hang Yan, Yin Luo
2 citations
Sensors
Flow Measurement and Analysis
1.73
article

Research on Centrifugal Pump Speed Measurement Based on Vibration Measurement

Hang Yan, Yin Luo
article en
2 citations

Abstract

Traditional rotational speed measurement methods, such as invasive sensors and visual recognition technologies, are often constrained by physical wear and environmental limitations. This paper introduces a non-invasive rotational speed measurement approach based on vibration signal frequency spectrum analysis. The proposed method utilizes the Zoom-FFT algorithm to process vibration signals collected during pump operation, enabling the precise identification of the dominant frequency and its correlation with the pump shaft frequency for accurate speed calculation. The experimental results obtained from a centrifugal pump under varying operating conditions demonstrate the following: At a constant rotational speed, flow variations have a minimal impact on the measurement accuracy, with errors ≤0.04%. Under constant flow conditions, the speed calculation accuracy achieves an error rate of 0.27% across different speeds. Compared to traditional methods, the proposed approach exhibits superior reliability and accuracy. This non-invasive method minimizes physical wear and reduces dependency on environmental factors, offering an effective solution for mechanical equipment monitoring and fault diagnosis.

SensorsVol. 25(10)
Jiangsu University (CN)
National Natural Science Foundation of China, KSB Stiftung
Openalex Percentile: Top 18%
Flow Measurement and Analysis
1.73
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