Simulation and experimental analysis of rolling element bearing fault in rotor-bearing-casing system

Yang, Yizhou; Wei-guo, Yang; Jiang, Dongxiang

doi:10.1016/j.engfailanal.2018.04.053

Cited by 55 publications

(19 citation statements)

References 20 publications

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“…To explain Formula (1), let us give an example, assuming that x = (4,8,9,6,5,11,7). When τ = 1, m = 3, five embedding vectors can be obtained as:…”

Section: Multiscale Permutation Entropymentioning

confidence: 99%

“…Due to the complicated structure and harsh operating environment, various faults of rolling bearings (inner ring fault, outer ring fault, ball fault) is inevitable; thus, it is of great significance to study the fault detection methods and diagnostic techniques of rolling bearings [6][7][8][9][10]. In order to find out the fault location, the current frequently used fault diagnosis method is the time-frequency analysis method, such as the variable mode decomposition, local mean mode decomposition, empirical mode decomposition and so on [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

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A New Fuzzy Logic Classifier Based on Multiscale Permutation Entropy and Its Application in Bearing Fault Diagnosis

Guo

Wang

et al. 2019

Entropy

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The self-organizing fuzzy (SOF) logic classifier is an efficient and non-parametric classifier. Its classification process is divided into an offline training stage, an online training stage, and a testing stage. Representative samples of different categories are obtained through the first two stages, and these representative samples are called prototypes. However, in the testing stage, the classification of testing samples is completely dependent on the prototype with the maximum similarity, without considering the influence of other prototypes on the classification decision of testing samples. Aiming at the testing stage, this paper proposed a new SOF classifier based on the harmonic mean difference (HMDSOF). In the testing stage of HMDSOF, firstly, each prototype was sorted in descending order according to the similarity between each prototype in the same category and the testing sample. Secondly, multiple local mean vectors of the prototypes after sorting were calculated. Finally, the testing sample was classified into the category with the smallest harmonic mean difference. Based on the above new method, in this paper, the multiscale permutation entropy (MPE) was used to extract fault features, linear discriminant analysis (LDA) was used to reduce the dimension of fault features, and the proposed HMDSOF was further used to classify the features. At the end of this paper, the proposed fault diagnosis method was applied to the diagnosis examples of two groups of different rolling bearings. The results verify the superiority and generalization of the proposed fault diagnosis method.

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“…To explain Formula (1), let us give an example, assuming that x = (4,8,9,6,5,11,7). When τ = 1, m = 3, five embedding vectors can be obtained as:…”

Section: Multiscale Permutation Entropymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A New Fuzzy Logic Classifier Based on Multiscale Permutation Entropy and Its Application in Bearing Fault Diagnosis

Guo

Wang

et al. 2019

Entropy

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show abstract

“…With the high speed and high precision requirements for rotating machinery, the shaft is usually designed to be supported by multiple rolling element bearings. Many scholars have investigated the dynamic characteristics of the shaft-bearing system [1][2][3], and a comprehensive review on dynamic model development of a shaft-bearing system was also presented [4]. In addition to dynamic analysis, the fatigue life of both the rolling element bearing and shaft system has also attracted much attention.…”

Section: Introductionmentioning

confidence: 99%

Fatigue Life Analysis of Ball Bearings and a Shaft System Considering the Combined Bearing Preload and Angular Misalignment

Zhang

Wang

et al. 2020

Applied Sciences

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Bearing preload significantly affects the running performance of a shaft-bearing system including the fatigue life, wear, and stiffness. Due to the mounting error, the bearing rings are often angularly misaligned. The effects of the combined bearing preload and angular misalignment on the fatigue life of ball bearings and a shaft-bearing system are analyzed in this paper. The contact force distribution of angular contact ball bearings in the shaft-bearing system is investigated based on the system model. The system model includes the bearing model, and the shaft model is verified by comparing with the manufacturer’s manual and the results from other theoretical models, with the difference between the results from the present bearing model and manufacturer manual within 3%. The global optimization method is used to replace the Newton–Raphson algorithm to solve the ball elements’ displacements and friction coefficients, which improves the computation efficiency of the system model. The fatigue life of each bearing is evaluated with the consideration of the two preload methods and two angular misalignment cases. The fatigue life results show that the system life at the optimal angular misalignment is more than 1.5 times that without angular misalignment at the low preload value, and this ratio decreases as the preload value increases. The optimal angular misalignment of both the shaft-bearing system and the misaligned bearing is not always consistent, which depends on the preload value and bearing life. Both the constant-displacement preload and constant-force preload do not cause a significant difference in the highest system life. The different misaligned bearings can lead to different highest system lives as the preload value is low.

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“…By taking the contact between the raceway and ball as a spring-damping 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 rotor-bearing-housing 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.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling and Analysis of Rolling Bearing with Compound Fault on Raceway and Rolling Element

Zhang

Yan

Liu

et al. 2020

Shock and Vibration

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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 degree-of-freedom (DOF) dynamic model of rolling bearing with compound localized fault is established based on time-varying 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.

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Simulation and experimental analysis of rolling element bearing fault in rotor-bearing-casing system

Cited by 55 publications

References 20 publications

A New Fuzzy Logic Classifier Based on Multiscale Permutation Entropy and Its Application in Bearing Fault Diagnosis

A New Fuzzy Logic Classifier Based on Multiscale Permutation Entropy and Its Application in Bearing Fault Diagnosis

Fatigue Life Analysis of Ball Bearings and a Shaft System Considering the Combined Bearing Preload and Angular Misalignment

Dynamic Modeling and Analysis of Rolling Bearing with Compound Fault on Raceway and Rolling Element

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