Effects of transmission shaft flexibility on rolling element bearing tribodynamics in a high-performance transmission

Friskney, Brett; Mohammadpour, Mahdi; Theodossiades, Stephanos; Craig, Christopher; Rapson, Greg

doi:10.1016/j.mechmachtheory.2021.104440

Cited by 2 publications

(1 citation statement)

References 38 publications

(64 reference statements)

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“…The Weibull distribution is the most widely used life distribution in the field of reliability engineering. It can be used to fit the failure rate curve of a device well, has good robustness and flexibility, and can describe different failure modes by changing its own relevant parameters (Friskney et al, 2021). This model can link the time and frequency domain feature parameters, such as root mean square and cliffness extracted from rolling bearing full-life vibration signal data to reliability, forming a mathematical model with specific time–covariance relationship (Kumar et al, 2022).…”

Section: Rolling Bearing Reliability Assessment and Rul Calculationmentioning

confidence: 99%

KPCA-WPHM-SCNs-based remaining useful life prediction method for motor rolling bearings

Han,

Song,

Shi

et al. 2023

Transactions of the Institute of Measurement and Control

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Motor rolling bearings are the important supporting components of motors. It can ensure the stable operation of motor equipment in the power grid, and bearing life prediction of it is a key issue. To solve the problem of low accuracy of remaining useful life (RUL) prediction for motor rolling bearings, a neural network model based on Weibull proportional hazards model (WPHM) and stochastic configuration networks (SCNs) is proposed. To better extract and analyze features of the bearing vibration signal in both time and frequency domains, kernel principal component analysis (KPCA) is used to reduce the dimensionality of the data. Then, a WPHM model using the top three contributing feature parameters is built, which sets the start time based on the failure rate curve and reliability function. Finally, the validity of the model is verified with the rolling bearing full life cycle dataset from the IEEE PHM 2012 Data Challenge, and a comparison with other machine learning models shows that the accuracy of the proposed model in RUL prediction is higher.

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Section: Rolling Bearing Reliability Assessment and Rul Calculationmentioning

confidence: 99%

KPCA-WPHM-SCNs-based remaining useful life prediction method for motor rolling bearings

Han,

Song,

Shi

et al. 2023

Transactions of the Institute of Measurement and Control

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Study on the effect of bearing position and stiffness on the dynamic behavior of output stage of CHT system based on the cylindrical gear meshing

Che,

Zhu

2024

Proceedings of the Institution of Mechanical Engineers, Part C:

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The internal and external rotor shafts are important components to transfer power in coaxial helicopters, and bearing supports could affect the dynamic behavior of the transmission system. In order to explore the influence of bearing support structure, bearing position and support stiffness on the dynamic behavior of the output stage of coaxial helicopter transmission (CHT) system based on the cylindrical gear meshing, a rigid-flexible coupled dynamic model is established under cantilever-cantilever support structure and cantilever-simple support structure considering the flexibility of rotor shaft based on Timoshenko beam theory, and time-varying mesh stiffness (TVMS), comprehensive meshing error are also considered. Newmark-beta numerical method was applied to calculate the dynamic response. The result indicates that the load sharing performance of gear pair using cantilever-simple support structure is better than that of cantilever-cantilever structure, but the maximum vibration displacement of bull gears is reduced apparently. Simultaneously, the bearing positions and stiffness can be adjusted to achieve better performance in load distribution and maximum vibration displacement of bull gears.

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Effects of transmission shaft flexibility on rolling element bearing tribodynamics in a high-performance transmission

Cited by 2 publications

References 38 publications

KPCA-WPHM-SCNs-based remaining useful life prediction method for motor rolling bearings

KPCA-WPHM-SCNs-based remaining useful life prediction method for motor rolling bearings

Study on the effect of bearing position and stiffness on the dynamic behavior of output stage of CHT system based on the cylindrical gear meshing

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