Assessment of approaches for technical diagnostic of pump faults with induction motor as transducer

Bold, Sebastian; Urschel, Sven

doi:10.23919/icems50442.2020.9291035

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…The two fault types "bearing defect" and "impeller defect" were investigated in this experiment (see Figure 5) The affected components are shown in the scheme in Figure 5a. Additionally, as the healthy variant was measured with the shut-off valve completely closed, these load points represent hydraulic blockage [6,20].…”

Section: Investigated Faultsmentioning

confidence: 99%

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Two Current-Based Methods for the Detection of Bearing and Impeller Faults in Variable Speed Pumps

et al. 2021

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The growing number of variable speed drives (VSDs) in industry has an impact on the future development of condition monitoring methods. In research, more and more attention is being paid to condition monitoring based on motor current evaluation. However, there are currently only a few contributions to current-based pump diagnosis. In this paper, two current-based methods for the detection of bearing defects, impeller clogging, and cracked impellers are presented. The first approach, load point-dependent fault indicator analysis (LoPoFIA), is an approach that was derived from motor current signature analysis (MCSA). Compared to MCSA, the novelty of LoPoFIA is that only amplitudes at typical fault frequencies in the current spectrum are considered as a function of the hydraulic load point. The second approach is advanced transient current signature analysis (ATCSA), which represents a time-frequency analysis of a current signal during start-up. According to the literature, ATCSA is mainly used for motor diagnosis. As a test item, a VSD-driven circulation pump was measured in a pump test bench. Compared to MCSA, both LoPoFIA and ATCSA showed improvements in terms of minimizing false alarms. However, LoPoFIA simplifies the separation of bearing defects and impeller defects, as impeller defects especially influence higher flow ranges. Compared to LoPoFIA, ATCSA represents a more efficient method in terms of minimizing measurement effort. In summary, both LoPoFIA and ATCSA provide important insights into the behavior of faulty pumps and can be advantageous compared to MCSA in terms of false alarms and fault separation.

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Section: Investigated Faultsmentioning

confidence: 99%

“…Using an adapted MCSA, a pump operating under the influence of cavitation was detected by analyzing the BPF [19]. In [20], three current-based approaches for the detection of cavitation, dry running, and hydraulic blockage were compared.…”

Section: Introductionmentioning

confidence: 99%

Two Current-Based Methods for the Detection of Bearing and Impeller Faults in Variable Speed Pumps

et al. 2021

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“…In (Dutta, 2020), the space vector machine and K-nearest neighbor were compared in order to detect cavitation. (Bold, 2020) presented a comparison of SVAF and MCSA for the faults hydraulic blockage cavitation and dry running. It was shown that Machine-Learning-based detection of cavitation and hydraulic blockage can be implemented in an industrial environment (Dias, 2021).…”

Section: Detection Of Pump Faultsmentioning

confidence: 99%