A combined acoustic and dynamic model of a defective ball bearing

Liu, Jing; Xu, Yajun; Pan, Guang

doi:10.1016/j.jsv.2021.116029

Cited by 100 publications

(48 citation statements)

References 30 publications

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“…This has created the need for Condition Monitoring (CM) systems, which ensure the safety and reliability of the operation of the equipment [1,[6][7][8]. CM focuses on the study of the behaviour of the machine, by applying non-intrusive techniques such as "Vibration Analysis," given its early appearance [9,10].…”

Section: Introductionmentioning

confidence: 99%

Bearing Severity Fault Evaluation Using Contour Maps—Case Study

et al. 2021

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Increasing industrial competitiveness has led to an increased global interest in condition monitoring. In this sector, rotating machinery plays an important role, where the bearing is one of the most critical components. Many vibration-based signal treatments are already being used to identify features associated with bearing faults. The information embedded in such features are employed in the construction of health indicators, which allow for evaluation of the current operating status of the machine. In this work, the use of contour maps to represent the diagnosis map of a bearing, used as a health map, is presented for the first time. The results show that the proposed method is promising, allowing for the satisfactory detection and evaluation of the severity of bearing damage. In this initial stage of the research, our results suggest that this method can improve the classification of bearing faults and, therefore, optimise maintenance processes.

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Section: Introductionmentioning

confidence: 99%

Bearing Severity Fault Evaluation Using Contour Maps—Case Study

et al. 2021

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“…Due to the centrifugal forces of the rollers during the high-speed rotating process, the contact states between the roller and inner/outer races are different [26], and the…”

Section: Dynamics Model Of the Rolling Bearingmentioning

confidence: 99%

Dynamic analysis of traction motor in a locomotive considering surface waviness on races of a motor bearing

Liu

Chen

et al. 2021

Rail. Eng. Science

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The traction motor is the power source of the locomotive. If the surface waviness occurs on the races of the motor bearing, it will cause abnormal vibration and noise, accelerate fatigue and wear, and seriously affect the stability and safety of the traction power transmission. In this paper, an excitation model coupling the time-varying displacement and contact stiffness excitations is adopted to investigate the effect of the surface waviness of the motor bearing on the traction motor under the excitation from the locomotive-track coupled system. The detailed mechanical power transmission path and the internal/external excitations (e.g., wheel–rail interaction, gear mesh, and internal interactions of the rolling bearing) of the locomotive are comprehensively considered to provide accurate dynamic loads for the traction motor. Effects of the wavenumber and amplitude of the surface waviness on the traction motor and its neighbor components of the locomotive are investigated. The results indicate that controlling the amplitude of the waviness and avoiding the wavenumber being an integer multiple of the number of the rollers are helpful for reducing the abnormal vibration and noise of the traction motor.

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“…The size of the bearing carrying capacity is determined by the number, shape and size of the rolling. The cage can make the rolling element evenly distributed in the roller, always maintains equal spacing, and assigns equal load to each rolling element [11][12][13]. Figure 1 shows the basic structure of the bearing.…”

Section: The Basic Structure Of Bearing and The Analysis Of Structural Symmetrymentioning

confidence: 99%

Early Weak Fault Diagnosis of Rolling Bearings Based on Fiber Bragg Grating Sensing Monitoring

et al. 2021

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Aiming at the problems of weak dynamic response and difficulty in diagnosis of early damage of rolling bearings, a diagnosis method for early damage of rolling bearings is proposed. Taking radial rolling bearings as the main research object, the load symmetric structure of deep groove ball bearings is analyzed. Based on the mechanical second-order system theory, the sensor monitoring structure is constructed. The generalized resonance principle is used to identify weak signals, and the fiber Bragg grating is used for signal sensing. The signal is obtained through the fiber Bragg grating high-speed demodulator. When a continuous periodic generalized resonance wave appears in the amplitude–frequency analysis of the signal, and there is a high-frequency resonance frequency, it can be proved that the bearing is faulty. The diagnosis method can effectively avoid the interference of low-frequency signals, the frequency spectrum is pure and there is no electromagnetic interference. It fully shows that the fiber Bragg grating sensor is suitable for the monitoring and diagnosis of the early weak fault of the bearing.

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A combined acoustic and dynamic model of a defective ball bearing

Cited by 100 publications

References 30 publications

Bearing Severity Fault Evaluation Using Contour Maps—Case Study

Bearing Severity Fault Evaluation Using Contour Maps—Case Study

Dynamic analysis of traction motor in a locomotive considering surface waviness on races of a motor bearing

Early Weak Fault Diagnosis of Rolling Bearings Based on Fiber Bragg Grating Sensing Monitoring

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