Combined Numerical and Experimental Determination of Ball...

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Combined Numerical and Experimental Determination of Ball Bearing Capacitances for Bearing Current Prediction Peng Han, Member, IEEE, Greg Heins * , Member, IEEE, Dean Patterson * , Life Fellow, IEEE, Mark Thiele * , Member, IEEE, and Dan M. Ionel, Fellow, IEEE SPARK Laboratory, ECE Dept., University of Kentucky, Lexington, KY, USA * Regal Beloit Corporation, Australia, Rowville, VIC 3178, Australia [email protected], [email protected], [email protected], [email protected], [email protected] Abstract—High-frequency voltages across the steel ball bear- ings and the corresponding currents can cause premature bear- ing failures in electric machines driven by PWM converters. The bearing voltage, one of the most commonly-used failure indicators, depends heavily on the bearing capacitance. This paper presents a combined numerical and experimental approach for the calculation of ball bearing capacitances to address the uncertainty introduced by lubricant property, lubrication status and other metal parts, such as seals and ball retainers. Based on the obtained capacitance breakdown, the influences of temperature, speed and bearing load (radial, axial or combined) on the capacitance are studied. Measurements and associated results of bearing capacitances are provided to validate the proposed method. Index Terms—Bearing current, bearing voltage, capacitance, electric machine, PWM inverter. I. I NTRODUCTION Premature bearing failures in electric machines and elec- tric machine-driven equipment due to bearing currents have been constantly drawing engineers’ attention during the past decades [1]–[4]. High-frequency bearing voltages caused by capacitive coupling [1] and inductive coupling [5] in electric machines driven by pulse width modulation (PWM) converters are the main causes of bearing currents. It is generally accepted that the lubricant film between the ball and bearing raceways will break down once the bearing voltage exceeds a threshold value. The accuracy of the bearing voltage prediction in steady state relies heavily on bearing and machine capacitances. Capacitances between machine parts, such as the stator-winding-to-rotor capacitance C sr , stator- winding-to-frame capacitance C sf and rotor-to-frame capaci- tance C rf , can be estimated by analytical equations [3], [6] or calculated by FE electrostatic solvers based on CAD files [7]. The prediction of bearing voltage transients involves not only capacitances, but also high-frequency RLC parameters of machines under study. The frequency-dependent resistances and inductances can be extracted from solving eddy current problems by finite element (FE) analysis or directly modeled in time-stepping (transient) electromagnetic FE analysis [8]. The calculation of bearing capacitance has been studied in the existing literature. A set of equations based on Hertizian contact theory were presented to calculate capacitances of roller and ball bearings in large induction motors under radial loads [9]. Bearing capacitances under various operating conditions have were measured and used to estimate the lubricant film thickness [10]. The starvation effect for grease lubricant has also been experimentally identified, which can be explained by the fact that there is not sufficient grease flowing back to the entry point between two rollover processes at high speeds and the lubricant film thickness is thus significantly reduced. Recent work on bearing current and shaft voltage predictions uses measured bearing capacitances without con- sidering the variations in temperature, speed and load [3], [11]. This paper proposes to calculate ball bearing capacitances by performing the least squares regression analysis on ex- perimental measurements, taking into account the uncertainty introduced by lubricant property, lubrication status and other metal parts. The bearing capacitance is broken down into three components based on the Hertzian contact theory, based on which the influences of temperature, speed and bearing load can be studied independently. II. CONFIGURATION AND EQUIVALENT ELECTRIC CIRCUIT FOR BALL BEARINGS Ball bearings are the most common type of bearing and extensively used in electric machines. According to the con- figuration of bearing rings, ball bearings are further classified as deep-groove ball bearings and angular contact ball bearings. This type of bearing is not only capable of taking radial loads but also axial loads. According to the bearing material, ball bearings are categorized as steel ball bearings, hybrid ceramic ball bearings and full ceramic bearings. Shown in Fig. 1a and Fig. 1b are steel ball bearings with metal seal removed and full ceramic bearings. A standard deep-groove ball bearing consists of a number of rolling balls and two concentric rings, which are made of steel for steel and hybrid ceramic ball bearings. In full ceramic ball bearings, all the balls and rings are made of ceramics, such as Silicon nitride (Si 3 N 4 ) and Zirconium dioxide (ZrO 2 ). Besides the balls and rings, there are also ball retainers and grease seals in bearings. Ball retainers or ball cages are used to separate the balls, maintain the symmetrical radial spacing of balls and in most cases, hold the bearing together. Grease Authors’ manuscript accepted for publication. The final published version is copyrighted by IEEE and will be available as: P. Han, G. Heins, D. Patterson, M. Thiele, and D.M. Ionel, “Combined numerical and experimental determination of ball bearing capacitances for bearing current prediction,” 2020 IEEE Energy Conversion Congress and Exposition (ECCE), Detroit, MI, Oct. 11-15, 2020, 5p. ©2020 IEEE Copyright Notice. “Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”

Transcript of Combined Numerical and Experimental Determination of Ball...

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Combined Numerical and Experimental Determination ofBall Bearing Capacitances for Bearing Current Prediction

Peng Han, Member, IEEE, Greg Heins*, Member, IEEE, Dean Patterson*, Life Fellow, IEEE,Mark Thiele*, Member, IEEE, and Dan M. Ionel, Fellow, IEEE

SPARK Laboratory, ECE Dept., University of Kentucky, Lexington, KY, USA* Regal Beloit Corporation, Australia, Rowville, VIC 3178, Australia

[email protected], [email protected], [email protected],[email protected], [email protected]

Abstract—High-frequency voltages across the steel ball bear-ings and the corresponding currents can cause premature bear-ing failures in electric machines driven by PWM converters.The bearing voltage, one of the most commonly-used failureindicators, depends heavily on the bearing capacitance. Thispaper presents a combined numerical and experimental approachfor the calculation of ball bearing capacitances to addressthe uncertainty introduced by lubricant property, lubricationstatus and other metal parts, such as seals and ball retainers.Based on the obtained capacitance breakdown, the influences oftemperature, speed and bearing load (radial, axial or combined)on the capacitance are studied. Measurements and associatedresults of bearing capacitances are provided to validate theproposed method.

Index Terms—Bearing current, bearing voltage, capacitance,electric machine, PWM inverter.

I. INTRODUCTION

Premature bearing failures in electric machines and elec-tric machine-driven equipment due to bearing currents havebeen constantly drawing engineers’ attention during the pastdecades [1]–[4]. High-frequency bearing voltages caused bycapacitive coupling [1] and inductive coupling [5] in electricmachines driven by pulse width modulation (PWM) convertersare the main causes of bearing currents.

It is generally accepted that the lubricant film between theball and bearing raceways will break down once the bearingvoltage exceeds a threshold value. The accuracy of the bearingvoltage prediction in steady state relies heavily on bearing andmachine capacitances. Capacitances between machine parts,such as the stator-winding-to-rotor capacitance Csr, stator-winding-to-frame capacitance Csf and rotor-to-frame capaci-tance Crf , can be estimated by analytical equations [3], [6]or calculated by FE electrostatic solvers based on CAD files[7]. The prediction of bearing voltage transients involves notonly capacitances, but also high-frequency RLC parametersof machines under study. The frequency-dependent resistancesand inductances can be extracted from solving eddy currentproblems by finite element (FE) analysis or directly modeledin time-stepping (transient) electromagnetic FE analysis [8].

The calculation of bearing capacitance has been studied inthe existing literature. A set of equations based on Hertiziancontact theory were presented to calculate capacitances of

roller and ball bearings in large induction motors underradial loads [9]. Bearing capacitances under various operatingconditions have were measured and used to estimate thelubricant film thickness [10]. The starvation effect for greaselubricant has also been experimentally identified, which can beexplained by the fact that there is not sufficient grease flowingback to the entry point between two rollover processes at highspeeds and the lubricant film thickness is thus significantlyreduced. Recent work on bearing current and shaft voltagepredictions uses measured bearing capacitances without con-sidering the variations in temperature, speed and load [3], [11].

This paper proposes to calculate ball bearing capacitancesby performing the least squares regression analysis on ex-perimental measurements, taking into account the uncertaintyintroduced by lubricant property, lubrication status and othermetal parts. The bearing capacitance is broken down into threecomponents based on the Hertzian contact theory, based onwhich the influences of temperature, speed and bearing loadcan be studied independently.

II. CONFIGURATION AND EQUIVALENT ELECTRICCIRCUIT FOR BALL BEARINGS

Ball bearings are the most common type of bearing andextensively used in electric machines. According to the con-figuration of bearing rings, ball bearings are further classifiedas deep-groove ball bearings and angular contact ball bearings.This type of bearing is not only capable of taking radial loadsbut also axial loads. According to the bearing material, ballbearings are categorized as steel ball bearings, hybrid ceramicball bearings and full ceramic bearings. Shown in Fig. 1a andFig. 1b are steel ball bearings with metal seal removed andfull ceramic bearings.

A standard deep-groove ball bearing consists of a number ofrolling balls and two concentric rings, which are made of steelfor steel and hybrid ceramic ball bearings. In full ceramic ballbearings, all the balls and rings are made of ceramics, suchas Silicon nitride (Si3N4) and Zirconium dioxide (ZrO2).Besides the balls and rings, there are also ball retainers andgrease seals in bearings. Ball retainers or ball cages are usedto separate the balls, maintain the symmetrical radial spacingof balls and in most cases, hold the bearing together. Grease

Authors’ manuscript accepted for publication. The final published version is copyrighted by IEEE and will be available as: P. Han, G. Heins, D. Patterson, M. Thiele, and D.M.Ionel, “Combined numerical and experimental determination of ball bearing capacitances for bearing current prediction,” 2020 IEEE Energy Conversion Congress and Exposition(ECCE), Detroit, MI, Oct. 11-15, 2020, 5p. ©2020 IEEE Copyright Notice. “Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses,in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution toservers or lists, or reuse of any copyrighted component of this work in other works.”

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(a)

(b)

Fig. 1. Deep-groove ball bearings: (a) steel ball bearings, (b) full ceramicbearing.

seals are used to protect bearings from excess grease loss andcontamination. Both the cage and seal can be metals, whichintroduce additional capacitances between the outer and innerrings.

Based on the physical construction, the steel ball bearingcan be modeled as a combination of capacitances, resistances,and voltage-controlled switches [1], as illustrated in Fig. 2,where Rir and Ror represent the resistances of the inner andouter ring, respectively. There are Nb balls in parallel, eachhaving an effective resistance Rb,i.

Considering each ball is immersed in the lubricant, each balldevelops two capacitances, i.e., Cb−ir,i and Cb−or,i, linking theinner and outer rings. Between balls, the inner and outer ringsare separated by the lubricant and/or air, and an additionalcapacitance Cg,i is formed. The ball retainer and seals, if madeof metal, will also introduce capacitive coupling between theinner and outer races. Voltage-controlled switches are includedto consider the possible breakdown of the lubricant. Once thevoltage across the bearing lubricant film exceeds the thresholdvalue, i.e., Vb > Vth, the electrical discharge machining (EDM)will occur and the bearing turns into a resistor from an RCcircuit. Combining the individual components results in areduced-order bearing model, which consists of a resistanceRb in series with the parallel connection of a capacitance Cb

and a voltage-controlled switch Sb.

For hybrid ceramic ball bearings and full ceramic bearings,the bearing model is a pure capacitor with mixed dielectrics,i.e., the ceramic, lubricant and air. Similar to steel ball bear-ings, metal retainers and seals will also introduce additionalcapacitances between inner and outer rings.

Fig. 2. Equivalent electric circuit model of steel ball bearings with metal ballretainers and seals

Fig. 3. Schematic of the lubricant film between the rolling ball and outerraceway, and the corresponding equivalent electric circuit.

III. CALCULATION OF BEARING CAPACITANCE

For steel ball bearings, the key to calculate the capacitancebetween the inner and outer races lies in the estimation of thelubricant film thickness and contact area, which depends on thebearing geometry, lubricant property, lubrication status, speedand load. According to the Hertzian theory, the theoreticalcontact area is elliptical between a rolling ball and raceway,as illustrated in Fig. 3. The capacitance between each balland the inner or outer raceway consists of three elements–thecapacitance for the Hertzian ellipse CHz , the capacitance forthe entrance Cen and the capacitance for the exit Cex.

The central film thickness hc can be calculated by thefollowing formula [12]:

hc = 2.69Ur0.67(αEeq)0.53W

−0.067(1 − e−0.73k), (1)

where α is the viscosity-pressure coefficient. Ur and W aredimensionless velocity and load, respectively, defined by:

Ur = µ0Ur(EeqRx)−1, (2)

W =W (EeqR2x)−1. (3)

where Ur is the rolling velocity, µ0 the viscosity of thelubricant at atmospheric pressure and bearing operating tem-perature, W the load on one rolling ball. Eeq is the equivalent

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TABLE ICONTACT ANGLE, FILM THICKNESS AND CAPACITANCE BREAKDOWN AT

1,200R/MIN WITH DIFFERENT LOADS.

Axial load Contact angle hc hmin CHz,i Cen,i +Cex,i Cb

[N] [rad] [µm] [µm] [pF] [pF] [pF]

0.069 0.056 1.30 13.390 0.047 0.112 0.091 1.12 15.81 55.06

0.054 0.042 23.85 13.4149 0.175 0.086 0.068 18.17 15.80 124.39

0.052 0.041 34.80 13.4198 0.208 0.083 0.066 26.55 15.80 157.82

modulus of elasticity and can be calculated by:

Eeq =2

1−v12

E1+ 1−v22

E2

. (4)

where ”1” and ”2” in subscripts denote the two contactingelements. The Poisson’s ratio is v and the modulus of elasticityof the two contacting materials is E. The equivalent radius ofcurvature in the plane of rotation is Rx.

The minimum film thickness can be obtained by the follow-ing formula [12]:

hmin = 3.63Ur0.68(αEeq)0.49W

−0.073(1 − e−0.68k). (5)

The three capacitances can then be calculated from the fol-lowing two equations derived from the parallel-plate capacitormodel:

CHz,i = ε0εfπab

hc, (6)

Cen,i +Cex,i = 2πε0εe ∫r

a

bax

hc + h(x)dx,h(r) = 100hc, (7)

where ε0 is the vacuum dielectric constant, εf and εe therelative dielectric constant of lubricant film in Hertzian areaand entrance/exit area, respectively. Radii of the ellipse aredenoted by a and b. The distance between the outer surfaceof the ball and the inner surface of the ring at x is denotedby h(x).

The resulting capacitance of the steel ball bearing can bewritten as:

Cb =Nb

∑n=1

CHz,i + (Cen,i +Cex,i) +Coth, (8)

where Coth accounts for the additional capacitances introducedby metal seals and/or ball retainer.

Equation (8) includes unknown parameters, such as εf , εeand Coth, which are difficult to be accurately determined inpractice, even when the operating temperature, bearing speedand load are given. Assuming εf = εe = 2.88 and Coth = 0pF,the calculated contact angle, film thicknesses and capacitancesof a deep-groove steel ball bearing at 1,200r/min with threepure axial loads are tabulated in TABLE I.

To determine the unknown εf , εe and Coth, at least 3experimental measurements of the capacitance are required fora basic least squares regression analysis. More measurement

(a)

(b)

Fig. 4. Schematic diagram of the bearing capacitance measurement

data are likely to improve the accuracy and provide betterpredictions of bearing capacitance under various operatingconditions.

IV. EXPERIMENTAL MEASUREMENTS FOR COEFFICIENTDETERMINATION

The schematic diagram of the bearing capacitance measure-ment and its equivalent circuit are shown in Fig. 4. The bearingtest fixture is installed vertically so that pure axial load canbe applied to the bearing under test.

The signal generator produces a step voltage signal or a puresinusoidal voltage signal. An external high-precision resistorwith a constant resistance is connected in series with thebearing under test through a mercury coupling, i.e., the brushin Fig. 4a. The amplitude of the applied voltage signal is set toa relatively low value to avoid the lubricant film breakdown.The time constant and the ratio between the bearing voltageand the step voltage input can be measured to calculate thebearing capacitance Cb and resistance Rb, as demonstrated in[10]. Alternatively, the waveforms for the bearing voltage andthe high-frequency sinusoidal voltage input can be recorded bya oscilloscope and used to calculate the bearing capacitanceand resistance.

The measured voltages of a deep-groove steel ball bearing6201 with two metal seals under 0N, 49N and 98N additionalaxial loads are shown in Fig. 5. This type of bearing requiresa load of at least 40Nm for operation. The sinusoidal voltageexcitation is 10MHz and the bearing speed is 1,200r/min.

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(a)

(b)

(c)

Fig. 5. Voltages with different axial loads: (a) no axial load (Cb = 78.2pF,Rb = 5.4µΩ), (b) 49N axial load (Cb = 95.7pF, Rb = 4.7µΩ), (c) 98N axialload (Cb = 99.2pF, Rb = 5.3µΩ).

The calculated bearing capacitances and resistances are alsoprovided. It can be seen that the resistance is nearly constantat approx. 5µΩ while the capacitance increases with the axialload.

Based on equation (8) and the measured results from Fig. 5,the optimal εf , εe and Coth can be determined by minimizing(Ccalc

b −Cmeasb )2 with three constraints: 1 ≤ εf ≤ 5, 1 ≤ εe ≤

5, and Coth ≥ 0. With the optimized coefficients, the calculatedbearing capacitance and its breakdown are tabulated in TABLEII.

The measured capacitance for the hybrid ceramic ball bear-ing 6201 with metal seals is 12.22pF. The FE predicted valuesare 6.17pF and 12.75pF, respectively, with and without metalseals, assuming the dielectric constant for the Si3N4 balls and

TABLE IICONTACT ANGLE, FILM THICKNESS AND CAPACITANCE BREAKDOWN AT

1,200R/MIN WITH DIFFERENT AXIAL LOADS. REGRESSION ANALYSISSHOWS THE OPTIMAL COEFFICIENTS ARE: εf = 1.0, εe = 1.0 AND Coth =

52.0PF.

Axial load CHz,i Cen,i +Cex,i Calc. Cb Meas. Cb Diff.[N] [pF] [pF] [pF] [pF] [%]

0.45 4.650 0.39 5.49 71.1 78.2 -9.1

8.28 4.6649 6.31 5.49 95.2 95.7 -0.5

12.08 4.6698 9.22 5.49 106.8 99.2 +7.7

retainer is 10. It is also found that the capacitance of ceramicball bearings is insensitive to the dielectric constant of theceramic material.

V. CAPACITANCE PREDICTION BASED ON THE COMBINEDAPPROACH

With the proposed combined numerical and experimentalapproach, the capacitance breakdown in bearings and theinfluence of temperature, speed, and load can be studied. Theimpact of bearing speed on individual capacitances betweenballs and raceways illustrated in Fig. 6 shows that the capac-itance for the entrance and exit region is nearly independentof the rotor speed. The capacitance for the Hertzian area, i.e.,the lubricant film, decreases with the increase of bearing speedand keeps nearly constant in the speed range from 1,500r/minto 2,000r/min. In addition, the capacitance between the balland inner race is slightly larger than that between the ball andouter race due to the convex contact and thus smaller filmthickness.

Both µ0 and α are temperature dependent. The impact ofthe temperature on the bearing capacitance is shown in Fig.7. It can be seen that, for the specific bearing 6201 undertest, the temperature variation has little impact on the bearingcapacitance for light-load conditions. With more axial load,the capacitance increases slowly with the temperature rise.

VI. CONCLUSION

This paper presents a new method to determine the capac-itance of ball bearings based on combined numerical analysisand experimental measurements. The generalized equation forbearing capacitance calculation is developed from the physi-cal construction of ball bearings. The unknown parameters,including the dielectric constant of the lubricant mixture,lubrication status, and additional capacitances, are determinedexperimentally. With the proposed approach, the capacitancebreakdown in ball bearings and influences of temperature,speed and load are studied.

It is shown that the capacitance developed by the lubricantfilm varies significantly with the speed and load. Capacitancesfor entrance and exit regions, and the capacitance introducedby metal retainers and/or seals are nearly constant. The pro-posed method proves an effective tool to prediction bearing

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(b)

Fig. 6. Capacitances in bearing 6201 at different rotating speeds with anaxial load of 49N, (a) capacitance between a single steel ball and the innerraceway, (b) capacitance between a single steel ball and the outer raceway.

capacitances under various operating conditions and will beused for bearing current prediction in wide speed and loadranges.

ACKNOWLEDGMENT

The support of Regal Beloit Corporation, University ofKentucky, the L. Stanley Pigman Endowment, and ANSYSInc., is gratefully acknowledeged.

REFERENCES

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[4] T. Plazenet, T. Boileau, C. Caironi, and B. Nahid-Mobarakeh, “Acomprehensive study on shaft voltages and bearing currents in rotatingmachines,” IEEE Trans. Ind. Appl., vol. 54, no. 4, pp. 3749–3759, July2018.

[5] Shaotang Chen, T. A. Lipo, and D. W. Novotny, “Circulating type motorbearing current in inverter drives,” in Rec. IEEE Ind. Appl. Soc. Annu.Meeting, vol. 1, Oct 1996, pp. 162–167 vol.1.

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(a)

(b)

(c)

Fig. 7. Capacitances for bearing 6201 with different axial loads: (a) noaxial load, (b) 49N axial load, (c) 98N axial load. The measured results areidentified through markers.

[8] Y. Xie, J. Zhang, F. Leonardi, A. R. Munoz, M. W. Degner, and F. Liang,“Modeling and verification of electrical stress in inverter-driven electricmachine windings,” IEEE Trans. Ind. Appl., vol. 55, no. 6, pp. 5818–5829, 2019.

[9] O. Magdun and A. Binder, “Calculation of roller and ball bearingcapacitances and prediction of EDM currents,” in Proc. IEEE Ind.Electron. Annu. Conf., Nov 2009, pp. 1051–1056.

[10] E. Wittek, M. Kriese, H. Tischmacher, S. Gattermann, B. Ponick, andG. Poll, “Capacitances and lubricant film thicknesses of motor bearingsunder different operating conditions,” in Proc. Int. Conf. Electr. Mach.,Sep. 2010, pp. 1–6.

[11] Y. Isomura, K. Yamamoto, S. Morimoto, T. Maetani, A. Watanabe, andK. Nakano, “Study of the further reduction of shaft voltage of brushlessDC motor with insulated rotor driven by PWM inverter,” IEEE Trans.Ind. Appl., vol. 50, no. 6, pp. 3738–3743, Nov 2014.

[12] A. Harnoy, Bearing Design in Machinery: Engineering Tribology andLubrication. CRC Press, 2002.