A systematic study of ball passing frequencies based on dynamic modeling of rolling ball bearings with localized surface defects

Niu, Linkai; Cao, Hongrui; He, Zhengjia; Li, Yamin

doi:10.1016/j.jsv.2015.08.002

Cited by 93 publications

(38 citation statements)

References 45 publications

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“…Therefore, when modeling the localized defects, the finite size of a rolling element has also been considered in Ref. [21]. Moreover, the lubrication effect and impacts at cage/ball and cage/guiding ring contacts have been considered in Ref.…”

Section: Component Levelmentioning

confidence: 99%

“…Moreover, the lubrication effect and impacts at cage/ball and cage/guiding ring contacts have been considered in Ref. [21]. Therefore, the model proposed in Ref.…”

Section: Component Levelmentioning

confidence: 99%

“…Therefore, the model proposed in Ref. [21] capably analyzed the timevarying orbital speed of a ball, which largely affects the defect frequencies of raceways. Patel et al [22] developed a dynamic model of deep groove ball bearing in the presence of defects on either of races under steady and dynamic loading condition.…”

Section: Component Levelmentioning

confidence: 99%

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Basic research on machinery fault diagnostics: Past, present, and future trends

et al. 2017

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Machinery fault diagnosis has progressed over the past decades with the evolution of machineries in terms of complexity and scale. High-value machineries require condition monitoring and fault diagnosis to guarantee their designed functions and performance throughout their lifetime. Research on machinery Fault diagnostics has grown rapidly in recent years. This paper attempts to summarize and review the recent R&D trends in the basic research field of machinery fault diagnosis in terms of four main aspects: Fault mechanism, sensor technique and signal acquisition, signal processing, and intelligent diagnostics. The review discusses the special contributions of Chinese scholars to machinery fault diagnostics. On the basis of the review of basic theory of machinery fault diagnosis and its practical applications in engineering, the paper concludes with a brief discussion on the future trends and challenges in machinery fault diagnosis.

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Section: Component Levelmentioning

confidence: 99%

“…Moreover, the lubrication effect and impacts at cage/ball and cage/guiding ring contacts have been considered in Ref. [21]. Therefore, the model proposed in Ref.…”

Section: Component Levelmentioning

confidence: 99%

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Basic research on machinery fault diagnostics: Past, present, and future trends

et al. 2017

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“…In this paper, an improved nonlinear dynamic model with the effect of cracks in spalling is presented, which can be used to analyze the vibration responses of bearings with cracks and spalling on the outer ring. The modified nonlinear model takes into account both the modified rigidity of bearing outer ring flaking fault, which is proposed by Eppsik [32], and the load modulation of local fault pulse sequence proposed by Mcfadden and Toozhy [33]. It has the advantage of avoiding the estimation of the contact deformation at the flaw and reducing the influence of different mechanical properties of silicon nitride ceramics and steel.…”

Section: Introductionmentioning

confidence: 99%

A Theoretical Model with the Effect of Cracks in the Local Spalling of Full Ceramic Ball Bearings

et al. 2019

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For full ceramic ball bearings, cracks occur frequently in the spalling on the rings, which leads to impacts on the bearing dynamic characteristics. In this paper, the spalling is set on the outer ring, and the dynamic model considering the effect of crack is proposed. The crack is considered to be related to the strain energy, and the effect on the stiffness of the outer ring is also analyzed. Results show that the appearance of cracks leads to the reduction of the full ceramic bearing stiffness, and the vibration amplitude of bearing increases. The effect of a crack depends on its size, and the vibration of the bearing with cracks of different widths and depths vary greatly. This study provides theoretical basis for the calculation of full ceramic bearing and is of great significance for the state monitoring and fault diagnosis.

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“…The difficulty of detection of localized defects (Niu et al, 2015) is related to the bearing energy which will diffuse through a wide band of frequency and hence it can be easily immersed in the noise (Ma and Li, 1995; Van et al, 2016). Thus, under various operating regimes (varying loads and speeds), many methods remain inefficient for the prediction (El-Thalji and Jantunen, 2015), because it may happen that an excited resonance mode at the beginning of the attack may not be excited later when the defect has developed (Ma and Li, 1995;Mikhlin and Mytrokhin, 2008).…”

Section: Introductionmentioning

confidence: 99%

A new method for automatic defects detection and diagnosis in rolling element bearings using Wald test

Chiter

Zegadi

Bekka

et al. 2018

jtam

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To detect and to diagnose, the localized defect in rolling bearings, a statistical model based on the sequential Wald test is established to generate a "hypothetical" signal which takes the state zero in absence of the defect, and the state one if a peak of resonance caused by the defect in the bearing is present. The autocorrelation of this signal allows one to reveal the periodicity of the defect and, consequently, one can establish the diagnosis by comparing the frequency of the defect with the characteristic frequencies of the bearing. The originality of this work is the use of the Wald test in the signal processing domain. Secondly, this method permits the detection without considering the level of noise and the number of observations, it can be used as a support for the Fast Fourier Transform. Finally, the simulated and experimental signals are used to show the efficiency of this method based on the Wald test.

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A systematic study of ball passing frequencies based on dynamic modeling of rolling ball bearings with localized surface defects

Cited by 93 publications

References 45 publications

Basic research on machinery fault diagnostics: Past, present, and future trends

Basic research on machinery fault diagnostics: Past, present, and future trends

A Theoretical Model with the Effect of Cracks in the Local Spalling of Full Ceramic Ball Bearings

A new method for automatic defects detection and diagnosis in rolling element bearings using Wald test

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