A Machine Integrated Rogowski Coil for Bearing Current Measurement

Quabeck, Stefan; Braun, Lukas; Fritz, Niklas; Klever, Severin; Doncker, Rik W. De

doi:10.1109/sdemped51010.2021.9605538

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…For this reason, it is essential to carry out measurements of currents both upstream and downstream of the HSS gearbox bearings in future measurement campaigns (Fig. 7) [18]. This allows to calculate the bearing currents 𝑖 bearing and gear currents 𝑖 gears with high accuracy according to equation (2).…”

Section: Discussionmentioning

confidence: 99%

“…While 𝑣 b can be measured directly with good accuracy, the measurement of bearing currents remains challenging, as direct measurements in the roller contact are not possible. [18] Previous studies examining bearing currents focused on the generators, neglecting the gearboxes, described the appearance of currents in bearings of doubly-fed induction generators [19]. Other studies used simulation models to estimate the bearing currents.…”

Section: Origin Of Wt Gearbox Bearing Currentsmentioning

confidence: 99%

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Experimental Characterization of Common-Mode Voltages and Currents in Gearbox Bearings of a Doubly-Fed Induction Generator Wind Turbine on a Test Bench

Zweiffel,

Jacobs,

Bach

et al. 2024

J. Phys.: Conf. Ser.

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Wind turbine (WT) drivetrain failures can lead to expensive repairs and downtime, significantly impacting the Levelized Costs of Electricity (LCOE). Gearbox failures are a major contributor to maintenance costs, with High-Speed-Shaft (HSS) bearings having the highest failure rate. Frequently occurring premature HSS bearing damage indicates design inadequacies. Currently, bearing design standards (DIN/ISO 281) are primarily based on fatigue. Other damage mechanisms like adhesion or damages due to electrical currents passing through the bearings are not considered. WT gearbox bearings are exposed to electrical currents, mainly caused by common-mode (CM) voltages. Bearing currents lead to surface damages and also may promote the formation of white etching areas (WEA) or cracks (WEC) and thus need to be investigated further. The CM voltage is an inherent feature of the power converter, which generates CM currents in the electrical machine. The resulting high voltages at the HSS bearings can lead to electrical discharge currents in the rolling contact, which damage the raceways of the bearing. This paper presents an experimental method for characterization of the currents and voltages that pass from the generator to the HSS of the gearbox in a multi-megawatt WT drivetrain on a test bench. CM currents and voltages measured at the converter are correlated with the shaft voltages at the HSS bearing. The results indicate, that the CM currents directly pass the HSS and its bearings into the gearbox housing. The CM currents show peaks indicating discharge events with over 100 A. Furthermore, at the discharge events, high-frequency oscillations with over 20 MHz are observed in CM current and bearing voltage.

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Section: Discussionmentioning

confidence: 99%

Section: Origin Of Wt Gearbox Bearing Currentsmentioning

confidence: 99%

Experimental Characterization of Common-Mode Voltages and Currents in Gearbox Bearings of a Doubly-Fed Induction Generator Wind Turbine on a Test Bench

Zweiffel,

Jacobs,

Bach

et al. 2024

J. Phys.: Conf. Ser.

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“…Different methods exist to identify bearing currents in the electrical machine, such as Rogowski coil [30], currents transformer [31], common multimeter, etc. However, as the bearing faults primarily affect the vibration rather than the current spectrum, it is reasonable to consider vibration analysis [32].…”

Section: Diagnostic and Reduction Possibilities Of Bearing Currentsmentioning

confidence: 99%

Bearing Currents of Induction Machine – Fault Detection, Condition Monitoring, and Predictive Maintenance

Kudelina,

Raja,

Naseer

et al. 2024

Preprint

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Bearing failures in electrical machines present significant challenges, drawing attention in diagnostic research. The widespread use of variable-speed drives in various motor applications has intensified the impact of bearing currents, requiring comprehensive exploration in academic and industrial settings. This paper thoroughly investigates the issue, examining damage types and diagnostic methods specific to bearing currents in induction machines. Additionally, it offers insights from experiments conducted in controlled laboratory environments to simulate bearing current faults. By outlining the findings, the paper contributes valuable knowledge on identifying and mitigating bearing-related issues in electrical machines. With the shift towards Industry 4.0 standards, which integrate advanced technologies into manufacturing processes, there's a growing emphasis on preventing production faults. Consequently, the paper extends its inquiry into signal pre-processing to enhance fault prediction accuracy by optimizing and refining machine signals. Given the dynamic nature of industrial standards and the rising demand for predictive maintenance strategies, this research holds significance. By striving for increased efficiency, reduced downtime, and enhanced reliability, the perspectives outlined aspire to make a meaningful contribution to the advancing field of predictive maintenance.

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Study of bearing currents in induction machine: diagnostic possibilities, fault detection, and prediction

Kudelina,

Raja,

Naseer

et al. 2024

Electr Eng

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A Machine Integrated Rogowski Coil for Bearing Current Measurement

Cited by 5 publications

References 13 publications

Experimental Characterization of Common-Mode Voltages and Currents in Gearbox Bearings of a Doubly-Fed Induction Generator Wind Turbine on a Test Bench

Experimental Characterization of Common-Mode Voltages and Currents in Gearbox Bearings of a Doubly-Fed Induction Generator Wind Turbine on a Test Bench

Bearing Currents of Induction Machine – Fault Detection, Condition Monitoring, and Predictive Maintenance

Study of bearing currents in induction machine: diagnostic possibilities, fault detection, and prediction

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