Electrical pitting wear debris analysis of grease-lubricated rolling element bearings

Raadnui, S.; Kleesuwan, Srawut

doi:10.1016/j.wear.2011.01.040

Cited by 39 publications

(22 citation statements)

References 9 publications

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“…The most commonly used techniques are vibration measurement, acoustic emission (AE) analysis, electrostatic (ES) measurement [6,7], bearing temperature analysis [8], ultrasonic measurement [9], Shock Pulse Method (SPM) [10], wear debris analysis [11], and modal analysis [12]. Despite the fact that there are many techniques to monitor the conditions of rolling-element bearings, the vibration analysis is one of the basic methods to control technical conditions of new bearings.…”

Section: Rolling Bearings Diagnostic Methodsmentioning

confidence: 99%

“…The vibration amplitudes generated by a rolling-element bearing, and hence its quality, depend on many factors, including the internal clearance [23], the grease type [4,11], the load type [24], as well as the surface topography of the raceways and balls. However, a waviness deviation of cylindrical surfaces plays a significant role [4,[25][26][27].…”

Section: Introductionmentioning

confidence: 99%

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Influence of raceway waviness on the level of vibration in rolling-element bearings

Adamczak

Zmarzły

2017

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. This paper provides a quantitative analysis of how raceway waviness (RONt) in 6304-type bearings affects their vibration. The waviness of bearing races was measured at the actual points of contact between the balls and the races. The measurements were conducted in the range of 16-50 undulations per revolution (UPR). The bearing vibration was analyzed in three bandwidths of frequency: low (LB) (50 ÷ 300 Hz), medium MB (300 ÷ 1800 Hz) and high HB (1800 ÷ 10 000 Hz), as well as in the full RMS bandwidth. The paper also presents the procedure used to determine the actual points of contact between the ball and each race to specify the point of waviness measurement. The method of calculation of the contact angle for a ball bearing is also discussed. The Pearson linear correlation coefficients were determined to analyze the relationships between the waviness parameters and the level of vibration. The test results show that an increase in the surface waviness on the inner and outer raceways causes an increase in the vibration level. The influence is most visible for the medium frequency bandwidth.

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Section: Rolling Bearings Diagnostic Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of raceway waviness on the level of vibration in rolling-element bearings

Adamczak

Zmarzły

2017

Bulletin of the Polish Academy of Sciences Technical Sciences

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“…10, the anode (roller) has wider and shallower "craters", while the cathode has narrower and deeper ones. Using an electrical pitting wear tester, Raadnui et al provided a corrugated parameter model, containing load, current, housing temperature and test duration [95]. As for the pitting wear debris, long test duration and a large current will enhance the production of black spherical wear particles.…”

Section: Weldingmentioning

confidence: 99%

Electrical bearing failures in electric vehicles

2020

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In modern electric equipment, especially electric vehicles, inverter control systems can lead to complex shaft voltages and bearing currents. Within an electric motor, many parts have electrical failure problems, and among which bearings are the most sensitive and vulnerable components. In recent years, electrical failures in bearing have been frequently reported in electric vehicles, and the electrical failure of bearings has become a key issue that restricts the lifetime of all-electric motor-based power systems in a broader sense. The purpose of this review is to provide a comprehensive overview of the bearing premature failure in the mechanical systems exposed in an electrical environment represented by electric vehicles. The electrical environments in which bearing works including the different components and the origins of the shaft voltages and bearing currents, as well as the typical modes of electrical bearing failure including various topographical damages and lubrication failures, have been discussed. The fundamental influence mechanisms of voltage/current on the friction/ lubrication properties have been summarized and analyzed, and corresponding countermeasures have been proposed. Finally, a brief introduction to the key technical flaws in the current researches will be made and the future outlook of frontier directions will be discussed.

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“…Pitting damage is a prevailing modality of material lesion in engineering assets. Amid numerous examples are pitting corrosion in maritime structures [1][2][3] , electrical pitting in bearings 4,5 , pitting craters in orbiting spacecraft induced by space junk or debris clouds [6][7][8] .…”

Section: Introductionmentioning

confidence: 99%

Nonlinear ultrasonic evaluation of disorderedly clustered pitting damage using an in situ sensor network

Cao

Wang

Zhou

et al. 2020

Structural Health Monitoring

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Pervasive but insidious, pitting damage—from pitting corrosion in maritime structures through electrical pitting in bearings to debris cloud–induced pitting craters in spacecraft—is a typical modality of material degradation and lesion in engineering assets in harsh service environment. Pitting damage may feature hundreds of clustered, localized craters, cracks, and diverse microscopic defects (e.g. dislocation, micro-voids, and cracks) disorderedly scattered over a wide area. Targeting accurate, holistic evaluation of pitting damage (mainly the existence, location, and size of the pitted area), an insight into the generation of nonlinear features in guided ultrasonic waves (i.e. high-order harmonics) that are triggered by pitting damage, is achieved using a semi-analytical finite element approach, based on which a monotonic correlation between the nonlinear ultrasonic features and the holistic severity of pitting damage is established. With such correlation, a structural health monitoring framework is developed, in conjunction with the use of an in situ sensor network comprising miniaturized piezoelectric wafers, to characterize pitting damage accurately and monitor material deterioration progress continuously. The framework is experimentally validated, in which highly complex pitting damage in a space structure, engendered by a hypervelocity debris cloud, is evaluated precisely.

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Electrical pitting wear debris analysis of grease-lubricated rolling element bearings

Cited by 39 publications

References 9 publications

Influence of raceway waviness on the level of vibration in rolling-element bearings

Influence of raceway waviness on the level of vibration in rolling-element bearings

Electrical bearing failures in electric vehicles

Nonlinear ultrasonic evaluation of disorderedly clustered pitting damage using an in situ sensor network

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