Research on stator current characteristics of centrifugal pumps under different mechanical seal failures

Zou, Jiamin; Luo, Yin; Han, Yuejiang; Fan, Yakun

doi:10.1177/09544062211061013

Cited by 3 publications

(2 citation statements)

References 21 publications

(19 reference statements)

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“…It has been recognised that damage to the mechanical seal causes higher-frequency vibration signals than those that normally occur in the centrifugal pump during operation. J. Zou et al analysed the power consumption of a centrifugal pump driven by an asynchronous motor under different mechanical seal conditions [2]. Their analysis was limited to the scenario of an increased leakage rate in a mechanical seal.…”

Section: Introductionmentioning

confidence: 99%

Soft Sensor Technology for the Determination of Mechanical Seal Friction Power Performance

Reeh,

Manthei,

Klar

2024

ASI

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Mechanical seals ensure the internal sealing of centrifugal pumps from the surrounding environment. They are one of the most critical components in a centrifugal pump. For this reason, the condition of mechanical seals should be monitored during operation. Mechanical seal friction power is an important component of mechanical losses in centrifugal pumps and is used as an indicator of wear and therefore seal condition. The soft sensor described in this paper is based on temperature measurements at the seal and can be used for determining the frictional power performance. A major factor in determining frictional power performance is the heat transfer between the mechanical seal and the medium inside the pump. For calculating the heat transfer, the stationary temperature fields in the rings of the mechanical seal are described by transmission efficiencies. The root mean squared error was determined for steady-state operating conditions to assess the quality of the soft sensor calculation. The frictional power performance can be determined by recording the temperature at the mechanical seal mating ring and the medium. The algorithm detects when the steady-state operating conditions change but does not map the dynamic changes between the stationary operating conditions.

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Section: Introductionmentioning

confidence: 99%

Soft Sensor Technology for the Determination of Mechanical Seal Friction Power Performance

Reeh,

Manthei,

Klar

2024

ASI

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“…In [ 22 ], Sunal, C. et al used a combination of DQ transformation and transfer learning to detect faults in centrifugal pumps: they fed a DQ image of current signals into a residual network and reached a relatively high classification accuracy. In [ 23 ], Zou, J. et al applied singular-value decomposition and Hilbert–Huang transform to analyze the stator current characteristics of a centrifugal pump, and the maximum amplitude of the Hilbert marginal spectrum was used as an indicator to detect mechanical seal failures.…”

Section: Introductionmentioning

confidence: 99%

Off-Design Operation and Cavitation Detection in Centrifugal Pumps Using Vibration and Motor Stator Current Analyses

Han,

Zou,

Presas

et al. 2024

Sensors

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Centrifugal pumps are essential in many industrial processes. An accurate operation diagnosis of centrifugal pumps is crucial to ensure their reliable operation and extend their useful life. In real industry applications, many centrifugal pumps lack flowmeters and accurate pressure sensors, and therefore, it is not possible to determine whether the pump is operating near its best efficiency point (BEP). This paper investigates the detection of off-design operation and cavitation for centrifugal pumps with accelerometers and current sensors. To this end, a centrifugal pump was tested under off-design conditions and various levels of cavitation. A three-axis accelerometer and three Hall-effect current sensors were used to collect vibration and stator current signals simultaneously under each state. Both kinds of signals were evaluated for their effectiveness in operation diagnosis. Signal processing methods, including wavelet threshold function, variational mode decomposition (VMD), Park vector modulus transformation, and a marginal spectrum were introduced for feature extraction. Seven families of machine learning-based classification algorithms were evaluated for their performance when used for off-design and cavitation identification. The obtained results, using both types of signals, prove the effectiveness of both approaches and the advantages of combining them in achieving the most reliable operation diagnosis results for centrifugal pumps.

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Investigation on the Vibration Induced by Rotary Shaft Seal Condition in a Centrifugal Pump

Zou,

Han,

Fan

et al. 2024

Preprint

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When the centrifugal pump is working, if its rotary shaft seal suffers from wear, deformation, thermal cracking and other failures, it will have adverse effects on the system. Employing theoretical and experimental analysis approaches, this study investigates the vibration properties of centrifugal pumps under various states of rotary shaft seals. The aim is to discern rotary shaft seal faults and assess the operational status of the centrifugal pump system. The vibration signal is collected, and the EMD-AR spectrum of the vibration signal is drawn through normalization, window function, anti-aliasing filter, EMD, and AR model establishment. The findings indicate a reduction in both the head and efficiency of the centrifugal pump as the rotary shaft seal experiences failure. The head is notably more affected by this occurrence; To ensure minimal vibration and enhanced stability, it is advisable for centrifugal pumps to operate at design conditions or slightly higher flow rates, avoiding operation at low flow rates; Additionally, the amplitude of the EMD-AR spectrum in the vibration signal progressively increases with the intensification of rotary shaft seal failure. Consequently, the EMD-AR spectrum serves as a reliable indicator for diagnosing damage to the rotary shaft rotary shaft seal.

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Research on stator current characteristics of centrifugal pumps under different mechanical seal failures

Cited by 3 publications

References 21 publications

Soft Sensor Technology for the Determination of Mechanical Seal Friction Power Performance

Soft Sensor Technology for the Determination of Mechanical Seal Friction Power Performance

Off-Design Operation and Cavitation Detection in Centrifugal Pumps Using Vibration and Motor Stator Current Analyses

Investigation on the Vibration Induced by Rotary Shaft Seal Condition in a Centrifugal Pump

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