Vibration characteristics and condition monitoring of internal radial clearance within a ball bearing in a gear-shaft-bearing system

Xu, Minmin; Han, Yaoyao; Sun, Xiuquan; Shao, Yimin; Gu, Fengshou; Ball, Andrew

doi:10.1016/j.ymssp.2021.108280

Cited by 72 publications

(23 citation statements)

References 39 publications

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“…In the table, the nomenclature for categories and sub-categories of phases, components, and topics reflect the previously introduced legend. Bajaj_2022 [276] x p3 x Xu_2022 [277] x p4 x x Ye_2021a [244] x p3 x Ahmed_2021 [172] x x p2 x x Mufazzal_2021 [278] x p4 x Yang_2021 [110] x p2 x x x x x Moghadam_2021 [193] x p2 x x Saucedo-Dorantes_2021 [173] x p2 x x x x Espinoza-Sepulveda_2021 [279] x p4 x x Kalista_2021 [73] x p1 x x x Zhang_2021a [280] x p4 x x Zhang_2021b [267] x p3 x x Meng_2021 [59] x p1 x x Tiwari_2021 [95] x p1 x x Tatsis_2021 [281] x p4 x x Leaman_2021 [282] x p5 x x Ou_2021 [283] x p5 x x Espinoza_2021 [226] x x p3 x x Wang_2021 [233] x p3 x x x Goyal_2021 [60] x p1 x x Bai_2021a [203] x p2 x x x Yu_2021 [75] x p1 x x Papathanasopoulos_2021 [66] x p1 x x Sharma_2021 [25] x p1 x x x Rauber_2021 [219] x p3 x x Laval_2021 [76] x p1 x x x x Shao_2021 [158] x x p2 x x Rafiq_2021 [166] x p2 x x x x Zhao_2021 [77] x p1 x x Gómez_2021 [284] x p1 x x Jablon_2021 [197] x p2 x x Barusu_2021 [62] x p1 x x x x Hadroug_2021 [250] x p3 x Hou_2021 [35] x x p1 x x Yuan_2021 [285] x p5 x Ye_2021b [245] x p3 x x x Tingarikar_2021 [286] x p4 x Ribeiro_2021 [287] x p2 x Peng_2021 [288] x x p2 x x x Gu_2021 …”

Section: Appendix Amentioning

confidence: 99%

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

et al. 2022

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Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal functioning states are related to specific patterns that can be extracted from vibration signals. Extensively studied issues concern the different methodologies used for carrying out the main phases (signal measurements, pre-processing and processing, feature selection, and fault diagnosis) of a malfunction automatic diagnosis. In addition, vibration-based condition monitoring has been applied to a number of different mechanical systems or components. In this review, a systematic study of the works related to the topic was carried out. A preliminary phase involved the analysis of the publication distribution, to understand what was the interest in studying the application of the method to the various rotating machineries, to identify the interest in the investigation of the main phases of the diagnostic process, and to identify the techniques mainly used for each single phase of the process. Subsequently, the different techniques of signal processing, feature selection, and diagnosis are analyzed in detail, highlighting their effectiveness as a function of the investigated aspects and of the results obtained in the various studies. The most significant research trends, as well as the main innovations related to the various phases of vibration-based condition monitoring, emerge from the review, and the conclusions provide hints for future ideas.

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Section: Appendix Amentioning

confidence: 99%

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

et al. 2022

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“…Excitations on the system are the gravitational forces g , unbalance forces u and misalignment forces m . The nonlinear reaction forces of ball bearings are denoted by b (t, ) and are expressed as [42] where ij , ij are the instantaneous angle and contact deformation of the ith and jth rolling bodies, n = 3/2 is the Hertz contact nonlinearity, H ij is the Heaviside function, C b i , N b i , Ω i , 2 i0 describe the contact stiffness, number of roller bodies, cage speed, initial radial clearance of the ith bearing.…”

Section: Physical Systemmentioning

confidence: 99%

Nonlinear Vibrations of an Uncertain Dual-Rotor Rolling Bearings System with Coupling Misalignment

Yang

et al. 2022

J Nonlinear Math Phys

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In this paper, the nonlinear vibration responses of a dual-rotor system supported on the ball bearings considering coupling misalignment are investigated with inevitable uncertainties included. Moreover, uncertain parameters are modelled by non-probabilistic interval variables, alleviating the hash demands in fitting into a sophisticated probability law. It is then more suited for engineering problems that have sparse prior data on uncertainties. The deterministic vibration responses, orbits and frequency spectrum are provided first to exhibit the evolution of the vibrations. Then, several physical parameters are studied to reveal the effects of their uncertainty on the nonlinear vibrations at different rotating speeds. It is worth noting that uncertainty in the speed ratio between the higher-pressure and lower-pressure rotors has great impacts. Moreover, the sensitivity also depends on the rotating speed.

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“…10, was carried out in the University of Huddersfield. The test aims to monitor the progressive deteriorations of the gears like it in real applications from different kind of signals [3]. During the test, the speed was kept nearly constant with load fluctuations, and cyclic operating conditions consist of three stages were repeated as shown in Fig.…”

Section: A Experiments Designmentioning

confidence: 99%

“…The reliability and durability of the tooth surface have a vital effect on the gear's operation and performance. However, gears often operate under complex working conditions and harsh environment, resulting in fast deterioration of infant defects on gear surface [3] [4]. Prognostics and health management (PHM) of gearbox can provide useful information of gear health conditions and sufficient leading time for taking timely maintenances to avoid unexpected breakdowns and extend the operating life of the gearbox.…”

Section: Introductionmentioning

confidence: 99%

Gear Health Monitoring and RUL Prediction Based on MSB Analysis

Han

Sun

et al. 2022

IEEE Sensors J.

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Gearbox is a key component in mechanical transmission and faults on gears will lead to breakdowns and unscheduled downtime. Health condition monitoring and remaining useful life (RUL) prediction can provide sufficient leading time for gearbox timely maintenance. To some degree, the RUL prediction accuracy relies on the performance of the diagnostic features on reflecting the degradation of gears during its lifetime. However, most current commonly used features fail to reveal the fault mechanism hidden behind vibration signal and hold poor capability on noise cancellation. In this paper, modulation signal bispectrum (MSB) is proposed to reveal the signal modulation mechanism and monitor the health condition of gears. Then, an improved relevance vector machine (IMRVM) is introduced to realize the process of RUL prediction. Last, a run-to-failure test rig is designed to verify the effectiveness the MSB features for RUL prediction. Results show that MSB possesses better performance on denoising and capturing the weak variation due to modulation in gear system. The optimal MSB features after selection show better performance on reflecting the degradation of the gear and have higher prediction accuracy for gear RUL prediction comparing with RMS, kurtosis and so on. These findings provided more useful and practical information for gear RUL prediction and gearbox maintenance.

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Vibration characteristics and condition monitoring of internal radial clearance within a ball bearing in a gear-shaft-bearing system

Cited by 72 publications

References 39 publications

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

Nonlinear Vibrations of an Uncertain Dual-Rotor Rolling Bearings System with Coupling Misalignment

Gear Health Monitoring and RUL Prediction Based on MSB Analysis

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