Advances in Fault Diagnosis and Defect Detection in Mechanical and Civil Engineering
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Xin Zhang, Changfeng Yan, Yaofeng Liu, Pengfei Yan, Yubo Wang, Lixiao Wu, "Dynamic Modeling and Analysis of Rolling Bearing with Compound Fault on Raceway and Rolling Element", Shock and Vibration, vol. 2020, Article ID 8861899, 16 pages, 2020. https://doi.org/10.1155/2020/8861899
Dynamic Modeling and Analysis of Rolling Bearing with Compound Fault on Raceway and Rolling Element
Abstract
Rolling element bearing is a very important part of mechanical equipment and widely used in rotating machinery. Rolling element bearings could appear localized defects during the working condition, which would cause the complex vibration response of bearings. Considering the shaft and bearing pedestal, a 4 degreeoffreedom (DOF) dynamic model of rolling bearing with compound localized fault is established based on timevarying displacement, and the vibration characteristics of rolling bearing with localized faults under different conditions are investigated. The established model is verified by the experimental vibration signals in time domain and frequency domain. The results show that the vibration response of compound fault is the result of the coupling action of a single fault of rolling element and outer race. The influences of compound fault on the vibration signals of the bearing were analyzed under three conditions. With the increasing of radial load, defect size, and rotation speed, the vibration amplitude of bearing would increase correspondently, which would accelerate the failure rate of bearing and reduce the service life of bearing. This model is helpful to analyze the vibration response of the rolling element bearing with single or compound fault.
1. Introduction
As a basic mechanical component, rolling element bearings are widely used in precision machine tools, vehicles, and aerospace equipment. Rolling element bearings are prone to failure, such as pitting, cracking, spalling, and wear during longterm work. Vibration and noise will be generated when local defects appear on the raceway or rolling element surface of bearing. The defects would adversely affect the operation of the machine and the reliability of the rotating equipment. Therefore, it is urgent to build a dynamic model for bearing with local defect, which can speed up the study of characteristics of bearing failure.
Many efforts have been made in dynamic models for rolling bearings with local defects on the inner or outer raceway surface. McFadden and Smith [1] established the pulse sequence model for analyzing the vibration characteristics of a rolling bearing with singlepoint defect. A periodic impulse force model with Dirac function was constructed, and the variation rule of vibration characteristics of singlepoint defective rolling bearing was revealed under constant radial load. Su and Lin [2] extended this pulse sequence model and analyzed the vibration characteristics of deep groove ball bearings with singlepoint fault on the surface under timevarying load. In consideration of timevarying stiffness effects and load distribution on the bending vibration frequency of bearing rings, a 2DOF dynamic model of rolling bearing was developed by Petersen et al. [3]. Singh et al. [4] described the process of the ball rolling over the defect zone of outer race in detail. It was found that several continuous short impulse forces are excited as the rolling element exiting out from the defective edge of raceway. Shaharohit and Kulkarni [5] established the finite element model with local defects of bearing on inner race and explored the bearing vibration characteristics under different working conditions. Considering the timevarying deflection excitation, the contact force between the rollers and the inner or outer raceway, and the influence of inertia force, sliding, and other factors, Wang et al. [6] established a multibody dynamic model of cylindrical bearing to explore the vibration response of a localized defect. Taking the centrifugal force, gyroscopic moment, kinetic characteristic of cage, and other factors into account, Niu et al. [7, 8] established a 6DOF dynamic model of defect bearing to describe the vibration characteristics of the system under high speed. Considering the lubricating oil film, radial clearance, timevarying displacement, and stiffness, Yan et al. [9] presented a 5DOF dynamic model for bearing with local defect based on isothermal elastohydrodynamic lubrication (EHL). Considering the sliding force of the rolling element and the interaction force between the cage and the raceway, Kang et al. [10] established an EHL model.
A model was proposed to calculate the deformation at sharp edges by Liu et al. [11], which can be used to study timevarying contact stiffness coefficients and timevarying displacement excitation between the rolling element and the edge of the defect as the roll passes through the defect area. In their further work, the improved model of raceway contact analysis for lubricating rolling elements was established on the basis of a model of timevarying impact force of local defects with different edge shapes [12]. A vibration response model of local defect in ball bearings was presented by Kong et al. [13], employing the Hertz contact stress distribution.
In addition, the vibration signals of rolling bearings with faulty rolling element have been paid more attention in the last two decades. Niu et al. [14] developed a dynamic model of localized defect on rolling element of angular contact ball bearing to discuss the influence of ball defect on the vibration of the bearing. Mishra et al. [15] built a dynamic model, considering the influence of bearing pedestal and rolling element defects based on the bond graph method. Choudhury and Tandon [16] introduced a discrete 3DOF springmassdamper system to simplify the rolling bearing and constructed a defect excitation force using a rectangular pulse sequence. Arslan and Aktürk [17] established a massspring model to investigate the influence of defective and nondefective surfaces of rolling elements on bearing vibration by considering additional clearance. A 3DOF springmass system was presented by Sassi et al. [18] to identify the pulse impact force by using kinematic energy method and researched the influences of ball defect on the vibration response of the ball bearing. By taking the contact between the raceway and ball as a springdamping system into consideration, Cheng et al. [19] built a nonlinear dynamic model to investigate the vibration signals of the bearing under different faults. Yang et al. [20] presented a rotorbearinghousing model which combined the finite element method with the lumped mass method. Subsequently, the effects of rolling element failure on the rotorbearing system were simulated. Combined with the nonlinear spring model at the contact point of the element and raceway, Yuan et al. [21] constructed a multibody dynamic model to explore the influence of a single defect and composite defect (including ball defect) in the presence of different bearing components.
In order to study the characteristics of vibration excited by single or multiple faults (compound faults) simultaneously in bearings, different dynamic models have been established to simulate and analyze further. Patel et al. [22, 23] constructed a 6DOF dynamic model to analyze the vibration characteristics of singlepoint fault and complex fault on inner and outer ring surface of deep groove ball bearing. Yaqub et al. [24] built a multiplepoint defect dynamic model of composite fault bearing with considering the influence of location distribution of the defects on the vibration characteristics of the bearing. Considering the coupling excitation, timevarying displacement, and sliding of rollers, Wang et al. [25] built a 4DOF bearingpedestal system model to investigate the response mechanism of complex faultinduced force and displacement excitation. In order to study the characteristics of vibration signals excited by a bearing with multipoint fault, Igarashi [26] established the models of twopoint fault on the inner and outer raceway of bearing, respectively. The finite element model of a bearing with multipoint fault was simulated to analyze the characteristic frequency of the vibration signal caused by each fault point in detail [27]. Liu et al. [28, 29] proposed a personalized fault diagnosis method based on finite element simulation and extreme learning machine. This method could make the fault detection results more accurate and identify the faults more effectively.
Although there have been many research achievements on the vibration response characteristics caused by the compound fault bearing, especially the compound fault on inner and outer raceway surface, a few works focused on compound fault on surface of the rolling element and outer raceway. In this paper, considering the influences of coupling excitation and timevarying displacement excitation, a 4DOF dynamic model of deep groove ball bearing with compound fault is built. The model is verified by experimental results. The mechanism of vibration response induced by the compound fault is explored under different conditions.
The rest of this paper is arranged as follows: In Section 2, a 4DOF dynamic model of deep groove ball bearing with compound fault is established. In Section 3, the dynamic equation is introduced. In Section 4, the simulated signals of the model are analyzed and compared with the experimental results. In Section 5, the vibration response of single and compound fault is researched under different conditions. The last section shows the conclusions.
2. Establishment of the Dynamic Model
The following reasonable assumptions are given in this model to simplify the shaftbearingpedestal system shown in Figure 1(a):(i)The rolling elements contact with the raceway is Hertz contact and the plastic deformation of the contact interface material can be neglected(ii)The rolling elements are evenly distributed(iii)Both the inertia effect of the rolling element and the gyroscope moment are neglected under the mediun and low speed conditions(iv)For the early defect of bearing, the size of defect depth and width is much smaller than the diameter of ball; the curvature radius of the defect edge is much smaller and can be ignored
(a)
(b)
The contact between the rolling element and the inner and outer raceway is simplified as a massspringdamper system. A simplified 4DOF model for the bearing system is shown in Figure 1(b). and are the contact stiffness and damping between inner race and shaft, respectively; the contact stiffness between outer race and bearing pedestal is and damping is .
2.1. Ball Defect
The rolling element defect would contact with the inner or outer raceway during the rolling bearing rotating. Due to the unpredictability of the rotation path of the ball, it is assumed that the rolling element defect only has planar motion.
A diagrammatic sketch of the contact between the inner raceway and the rolling element with the local defect is shown in Figure 2. The defect is defined as a rectangular spall in this model, L is the width of damage, is the depth, R is the radius of the rolling element, is the rotation speed of bearing, and is the rotating speed of the rolling element.
When the defect in element contact with the outer or inner raceway, the radial elastic deformation changes instantaneously. The radial elastic deformation is expressed as is the position angle of the jth rolling element, is rotating speed of cage, is the radial clearance, Z is the number of rolling elements; x is horizontal displacement, y is vertical displacement, is the timevarying radial displacement, and is switching quantity.
The maximum radial displacements in the inner race and outer race are and as shown in Figure 3, respectively, which can be expressed as follows:where and are the raceway radius of the inner race and outer race, respectively.
(a)
(b)
The defect on rolling element surface would contact the outer raceway and the inner raceway every time within one cycle; therefore, an impact pulse is excited every time. The jth ball is assumed to be damaged; then, the position of the defect on rolling element surface at time t is shown in the following equation:where is the initial position angle of the ball defect, and it is defined as the angle between the element defect and the radial radius of the outer raceway contact point as shown in Figure 4(a).
(a)
(b)
If the defect on rolling element surface contacts the inner raceway or outer raceway as shown in Figure 3, the radial displacement would be changed, and the following equation should be met:where damage angle ; r is radius of rolling element.
Based on this above analysis, the radial displacement caused by contact between defect on rolling element and inner or outer raceway can be obtained as follows:
When the defect on rolling element contacts the outer raceway, in equation (1) is as follows [30]:
When the defect on rolling element contacts the inner raceway, is as follows:where is the number of rotations of rolling element.
When the defect on rolling element contacts the outer raceway,
When the defect on rolling element contacts the inner raceway,
2.2. Outer Defect
When the localized fault on the outer raceway contacts the rolling element, the contact stress on the contact surfaces would suddenly change, which would result in an impact vibration. Assuming that the outer raceway damage is pitting, the width is b, the depth is , and the damage angle is .
The localized fault on the outer raceway of bearing could be described as in Figure 4. Figure 4(a) shows that when the rolling element rolls across the local defect at a certain point of the outer raceway, the deformation of the ith rolling element may be expressed as follows:where is the position angle of the ith rolling element, is the rotating speed of cage, is the radial clearance, Z is the number of rolling elements; x is horizontal displacement, y is vertical displacement, is the timevarying radial displacement of rolling element passing through the fault on outer raceway, and is switching quantity.
When the rolling element comes across the localized fault on the outer raceway, the maximum of timevarying displacement of raceway could be given as follows:
can be obtained by the following equation:
When the ith rolling element enters into the defect zone on the outer raceway of bearing, is given in the following equation: where is the damage angle of local defect on outer raceway.
3. Dynamic Equation
The Hertz contact force between the rolling element and the raceways is dependent on whether the rolling element is in the position of the load zone or not. As is shown in Figure 5, when the ball is situated in the unload zone, it is indicated that the rolling element is not in direct contact with the raceway. Otherwise, the rolling element and raceways are in Hertz contact. Therefore, a Dirac function is used to estimate the position of the rolling element in the load zone, as is shown in (18).
Simplify each rolling element as a parallel massspringdamping system (shown in Figure 1(b)).
The rolling element contact stiffness of rolling element and inner or outer raceway is calculated by the following equation [31]:where E is the elastic modulus, is the Poisson ratio; and are the contact stiffness between the rolling element and the outer and inner raceways, respectively; is the curvature and is the contact displacement of the inner raceway, respectively; is the curvature and is the contact displacement of the inner raceway, respectively.
As shown in Figure 6, the contact stiffness of the rolling element with the inner and outer raceways is equivalent to :
Based on the Hertz contact theory, the relationship of contact load and displacement of rolling bearing iswhere is Hertz contact stiffness.
and are the total Hertz contact forces in horizontal and vertical directions, which can be expressed as follows:where
Radial deformation with single fault on rolling element surface is
The total radial deformation with compound fault is
where is the timevarying displacement when rolling elements roll over defect on the outer raceway and defect on rolling element contacts with the inner or outer raceway
The dynamic equations of the rolling element bearing with compound defects on the surfaces of the rolling element and outer raceway are shown as follows:where and are the applied loads of the rolling bearing system in the X and Ydirections, respectively.
According to Figure 7, it shows the flow chart of solving (21) based on the fourthorder Runge–Kutta method.
4. Experimental Verification
4.1. Experimental Test Rig
The MFS test rig produced by Spectra Quest Incorporation (SQI) is used to test the local fault on the outer raceway and rolling element surface of bearing, which is shown in Figure 8. In this experiment, the shaft was driven by a 1 HP 3phase AC motor at 1750 rpm. The motor is connected with the shaft by a flexible coupling. The shaft was supported by two deep groove bearings ER16 k; one is localized defect bearing and the other is a healthy bearing. A 50 N radial load was put on the shaft by a 5.1 kg rotor disk installed in the middle of the two bearings. A DAQ acquisition card of portable spectra PAD connected between the accelerometer by a 3channel data cable and a computer by USB port was used to collect the acceleration signal of vibration.
The ER16K deep groove ball bearing is used in the experiment. The test bearings with defects fabricated by laser etching technique are shown in Figure 9, and the specific parameters of the test bearing are shown in Table 1.
(a)
(b)

The characteristic frequency of the outer raceway (f_{BPFO}) and the rolling element (f_{BPB}) are given in the following equations [16]:
For the model, the radial load is set to and . The initial values of the displacements are , and , , and the initial velocity is 0 m/s.
4.2. Ball Defect
In the simulation model, the outer race of is fixed with the bearing pedestal, and the inner race rotates with the shaft.
When the speed is 1750 r/min, the characteristic frequency is 135.5 Hz according to (23).
The simulated signals of vibration of bearing with rolling element defect are shown in Figure 10. When the localized defect occurs on the rolling element surface, there are significant periodic shocks in the simulated signal in time domain as shown in Figure 10(a), and enlarged simulated acceleration signals from 1.4 s to 1.44 s are given in Figure 10(b). It is shown in Figure 10(b) that 5 impulses generate when the rolling element defect contacts the inner and outer raceways during 0.04 s. Meanwhile, the time intervals between impulse are approximately 7.38 ms, equaling 1/f_{BPB}. It is observed from Figure 10(c) that the fault characteristic frequency (f_{BPB}) of rolling element is 135.5 Hz, which is consistent with the theoretical value. The harmonics 2x and 3x of can be seen clearly.
(a)
(b)
(c)
The defective rolling element of the testing bearing is shown in Figure 9(a). The diameter of the defect on rolling element surface is 1.2 mm, consistent with the simulated model. The vibration signals of testing bearing in both time domain and frequency domain from the experimental results are shown in Figure 11. The enlarged experimental acceleration signals from 1.4 s to 1.43 s are given in Figure 11(b). It is shown in Figure 11(b) that the time intervals between impulse are approximately 7.38 ms, equaling 1/f_{BPB}. Simulated signals and experimental signals are basically consistent in time domain. Therefore, the reliability of the proposed model is verified.
(a)
(b)
(c)
Comparing Figure 10(c) with Figure 11(c), it is shown that the fault characteristic frequencies of rolling element from the simulated signal and experimental results are 135.5 Hz and 136.5 Hz, respectively. The relative error between experimental and simulated results is 0.74% and very small. The established model fits the experimental results very well; therefore, this model is correct and could be utilized to analyze the vibration response of faulty rolling bearing.
4.3. Compound Fault
The simulation model of the bearing with compound fault is built, in which the width of defect on the outer raceway is 1.2 mm and the diameter of defect on rolling element surface is 1.2 mm. The defect on outer raceway is situated at 6 o’ clock.
When the speed is 1750 r/min, the characteristic frequency f_{BPFO} is 104.19 Hz based on (22).
The simulated vibration signals of bearing with compound fault are shown in Figure 12. Because the localized defects are on the surfaces of both rolling element and outer raceway, it is shown in Figure 12(a) that the significant periodic impulses occur in the simulated signal in time domain. Enlarged simulated acceleration signals in time domain from 1.56 s to 1.66 s are shown in Figure 12(b). It can be seen from the amplified diagram in time domain that impulses A1 and A2 are generated when the rolling element roll over the outer raceway defect, and impulses B1 and B2 occur when the rolling element defect contacts with inner or outer raceway. Meanwhile, the time intervals between impulses are approximately 9.3 ms and 7.38 ms, equaling 1/f_{BPFO} and 1/f_{BPB}, respectively. It could be observed from Figure 12(c) that f_{BPFO} and f_{BPB} are 104.4 Hz and 135.5 Hz, respectively, which are consistent with the theoretical value. The harmonics 2x and 3x of f_{BPFO} and f_{BPB} can be also seen clearly.
(a)
(b)
(c)
The diameter of the defect on rolling element surface of the testing bearing is 1.2 mm and shown in Figure 9(a). The width and depth of the defect on the outer raceway surface of the testing bearing are 1.2 mm and 0.25 mm, respectively, which is shown in Figure 9(b). The defects on testing bearing are consistent with the simulated model.
The vibration response of testing bearing with compound fault in both time domain and frequency spectrum from the experiment are shown in Figure 13. Enlarged experimental signals in time domain from 1.56 s to 1.66 s are given in Figure 13(b). It can be seen from the amplified diagram in time domain that impulses A3 and A4 are generated when the rolling element roll over the outer raceway defect, and impulses B3 and B4 occur when the rolling element defect contacts with inner or outer raceway. Meanwhile, the time intervals between impulse are approximately 9.3 ms and 7.38 ms, equaling 1/f_{BPFO} and 1/f_{BPB}, respectively. From figures in time domain, it is clearly shown that the simulated and experimental signals of bearing with compound fault have periodic impact phenomenon in the time domain.
(a)
(b)
(c)
It could be seen from Figure 12(c) and Figure 13(c) that f_{BPFO}, f_{BPB} and their harmonics frequency are clearly visible. The fault characteristic frequencies of f_{BPFO} and f_{BPB} are 104.7 Hz and 139.6 Hz, respectively. The relative errors of f_{BPFO} and f_{BPB} between experimental and simulated results are 0.29% and 3.02%, respectively; therefore, the simulation model is agreeable with the experimental results. The relative errors are related to the preload, rolling element sliding, and other factors.
Comparing Figure 10(c) with Figure 12(c), it can be clearly seen that when the rolling element bearing has compound fault, the amplitudes of fault characteristic frequency are larger than those with single defect. The vibration response of bearing with compound fault is the result of the coupling of the vibration signals from the single fault on the surfaces of rolling element and the outer raceway.
5. Vibration Characteristic of Single or Compound Fault Rolling Bearing
5.1. Influence of Load on Vibration Response of Single or Compound Fault Bearing
When the width of defect on the outer raceway is 1.2 mm, and the diameter of defect on rolling element surface is 1.2 mm, and the shaft speed is 1750 r/min, the applied load on the bearing increases from 10 N to 150 N, the amplitudes of f_{BPFO}, f_{BPB} and their harmonic frequencies can be shown in Figure 14 under three fault modes of rolling element bearing.
(a)
(b)
(c)
From Figure 14, it is shown that the fault characteristic frequencies and their harmonics frequencies do not change, but their amplitudes of vibration signal would increase with the increasing of applied load. When the applied load on the bearing is large, the impact load caused by rolling element across the defect would be large, which enhances the vibration response of the bearing correspondently.
5.2. Influence of Defect Size on Vibration Response of Single or Compound Fault Bearing
The faults of bearing such as cracks, pitting, pits, and other local defects would occur in operation, and the size of these defects will increase gradually.
When the bearing speed is 1750 r/min and the applied load is 50 N, the width of defect on the outer raceway and the diameter of defect on rolling element surface are 0.6, 0.9, 1.2, and 1.5 mm, respectively. The amplitudes of the fault characteristic frequencies and their harmonic frequencies can be shown in Figure 15.
(a)
(b)
(c)
It can be seen from Figure 15 that the corresponding fault characteristic frequencies and their harmonics frequencies do not change; however, their amplitudes of vibration signal would increase with increasing of the defect size from 0.6 mm to 1.5 mm. The increase of the defect size of the bearing results in the increase of the internal excitation force; therefore, the amplitudes of vibration response of the bearing vibration would be stronger correspondently. It can explain the relationship between the size of defect and the impact response of the excitation to a certain extent.
5.3. Influence of Rotating Speed on the Vibration Response of Single or Compound Fault Bearing
During the operation of the equipment, the rotating speed has a great influence on the stability of the bearing system, so it is necessary to study the vibration response of the compound fault bearing with different speed.
The width of defect on the outer raceway of bearing is 1.2 mm, the diameter of the defect on rolling element surface is 1.2 mm, and the applied load is 50 N. The amplitudes of the fault characteristic frequencies and their harmonic frequencies can be shown in Figure 16 under the 1550, 1650, 1750, and 1850 r/min speed, respectively.
(a)
(b)
(c)
It can be seen from Figure 16 that when the rotating speed increases, the amplitudes of fault characteristic frequencies and their harmonics frequencies would become larger correspondently. With the increase of rotating speed, the impact vibration of the bearing is excited; therefore, the amplitude of the bearing vibration would be increased.
By comparing the simulated signals under different working conditions, it can be clearly seen that with the increasing of rotation speed, defect size, and radial load, the vibration amplitude of bearings would increase correspondently. However, the increase of rotating speed and applied load has a greater impact on the amplitude of f_{BPFO} and f_{BPB}, which aggravate the vibration impact of the bearing and would accelerate the failure rate and reduce the service life of the bearing.
6. Conclusions
(1)Considering timevarying displacement and stiffness, a 4DOF dynamic model of rolling element bearing with compound fault was established. The fault on rolling element was introduced into the model of compound fault.(2)The proposed model was verified by the experimental results. It is shown that the proposed model fits the experimental data very well, which can prove the correctness and feasibility of the model.(3)The influences of compound fault on the vibration response of the bearing were analyzed under different conditions. The results show that both high speed and large load would increase the amplitude of vibration obviously and then accelerate the failure of bearing.(4)The motion of the rolling element is more complex during the actual operation, and the defect on rolling element may not contact the raceway within every cycle period. This problem should be studied further in the future.
Data Availability
The data used to support the findings of this study are available from the corresponding author upon request.
Conflicts of Interest
The authors declare that they have no conflicts of interest regarding the publication of this paper.
Acknowledgments
This work was supported by the National Natural Science Foundation of China (Grant no. 51765034) and the Hongliu FirstClass Disciplines Development Program of Lanzhou University of Technology.
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Copyright © 2020 Xin Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.