2020
DOI: 10.3390/app10144731
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Vibration Characteristics of Rolling Element Bearings with Different Radial Clearances for Condition Monitoring of Wind Turbine

Abstract: Rolling element bearing is a vital component in rotating machinery, such as a wind turbine (WT) system. By accurately monitoring its health condition, the faults can be detected at an early stage, providing sufficient lead time to perform maintenance and hence reducing accidents and economic losses. Bearing usually suffers from various wears and tears, which result in a gradual increase in clearance through its lifetime. Insufficient understanding of vibration characteristics under different clearances… Show more

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Cited by 44 publications
(22 citation statements)
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“…Some methods of radial clearance diagnostics by vibration signals are given in [ 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 ]. The effect of rolling bearing clearances on diagnostic signatures is investigated in [ 65 ] in the 5-DOF nonlinear dynamic model, which imitates gradual wear of bearings, using an experimental identification method based on FRF decoupling and optimization [ 66 ].…”
Section: Introductionmentioning
confidence: 99%
“…Some methods of radial clearance diagnostics by vibration signals are given in [ 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 ]. The effect of rolling bearing clearances on diagnostic signatures is investigated in [ 65 ] in the 5-DOF nonlinear dynamic model, which imitates gradual wear of bearings, using an experimental identification method based on FRF decoupling and optimization [ 66 ].…”
Section: Introductionmentioning
confidence: 99%
“…The drilling tool's performance and its efficiency depend on many structural elements, such as the construction of the tool body, the geometry of the cutting part, the flushing system of the device, and the setting of the optimal working mode. One of the possible measurable output parameters of the drilling process is the vibration signal of the acceleration [8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…However, because of the thermal inertia of the temperature sensors, their response speed is not as good as that of the vibration method. Other researchers used the vibration method to monitor the lubrication conditions of the bearings, such as Kanematsu, who used the vibration method to diagnose motor bearing faults [9]; Chen, who used vibration signals to diagnose faults in big end bearings [10]; Xu, who analyzed the vibration characteristics of different clearances of bearings to monitor the lubrication of bearings [11]; and Mao, who proposed a method to monitor bearing failure based on vibration [12]. However, the vibration method is difficult to apply due to the many excitation sources, complex transmission paths, signal interferences, and low signal-to-noise ratio.…”
Section: Introductionmentioning
confidence: 99%