2020
DOI: 10.1109/ojia.2019.2956987
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Shaft Failure Analysis in Soft-Starter Fed Electrical Submersible Pump Systems

Abstract: Electric submersible pumps (ESPs) are widely used for high volumetric oil and gas recovery from downhole wells. ESPs in oil fields can be equipped with multiple ac motors in tandem. To assist a motor start-up, a solid-state soft-starter can be deployed in such ESP wells. ESP shafts have a long axial length, and thus experience significant dynamic torsion when started from reduced voltage soft-starters. Premature shaft breakdowns had occurred in the field during the motor start-up for soft-starter fed ESPs. Thi… Show more

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Cited by 15 publications
(14 citation statements)
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“…Previous studies have dealt with the condition assessment of soft-started motors [15][16][17][18]. Some of them are focused on the rotor fault diagnosis based on the start-up current analysis using advanced time-frequency transforms [6][7][8]19,20].…”
Section: Introductionmentioning
confidence: 99%
“…Previous studies have dealt with the condition assessment of soft-started motors [15][16][17][18]. Some of them are focused on the rotor fault diagnosis based on the start-up current analysis using advanced time-frequency transforms [6][7][8]19,20].…”
Section: Introductionmentioning
confidence: 99%
“…Failure to take into account these phenomena may damage the electric drives and sometimes stop production in the entire plant. One example is a complex drive system for electric submersible pumps powered by a soft starter [1]. In this case, an incorrect control strategy led to resonance and shaft failure.…”
Section: Introductionmentioning
confidence: 99%
“…Li, et al [14] evaluated the impact of heavy load on the distributor networks using energy storage and photovoltaic capacitor method in order to verify the analysis. Various researchers have made an attempt in order to achieve the load recovery for the distribution network while imposing the instantaneous heavy load conditions [15][16][17]. But a reliable and efficient solution is not achieved using the current state of the art methods.…”
Section: Introductionmentioning
confidence: 99%