A new approach for analyzing internal load and fatigue life of deep groove ball bearing in high-speed gearbox system

Kong, Xiannian; Tang, Jinyuan; Hu, Zehua; Chen, Siyu; Wang, Qibo

doi:10.1177/10775463221127779

Cited by 3 publications

(2 citation statements)

References 34 publications

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“…working conditions are worse [28]. When the wind turbine runs with load for a long time, it may be affected by factors including sudden changes of wind direction and extreme weather.…”

Section: Introduction To Bearing Failure Of Gearbox Of Wind Turbinementioning

confidence: 99%

“…The bearings of the gearbox shown in Figure 1 can be divided into bearings of the low-speed stage, bearings of the intermediate stage, and bearings of the high-speed stage.Excepting the bearings of the high-speed stage, which are deep-groove ball bearings, all the other bearings are tapered roller bearings. The failure rate of the high-speed bearings is higher than that of the other bearings because their rotating speed is faster, and their working conditions are worse[28]. When the wind turbine runs with load for a long time, it may be affected by factors including sudden changes of wind direction and extreme weather.…”

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confidence: 99%

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Method for Evaluating the Reliability and Competitive Failure of Wind Turbine Gearbox Bearings Considering the Fault Incubation Point

et al. 2023

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Aiming to resolve the problem where the reliability of gearbox bearings of wind turbines is easily affected by random impact, this paper puts forward a reliability evaluation method for the competitive failure of gearbox bearings of wind turbines considering the fault incubation point. Firstly, we use Weibull distribution to simulate the fault latent process of wind turbine gearbox bearings. Secondly, a natural degradation model of gearbox bearing is established based on the Wiener process. Then, we model the random impact arrival frequency and impact intensity through a homogeneous Poisson process and normal distribution, respectively. Finally, based on considering the fault incubation point, the natural degradation of the bearing, the instantaneous degradation caused by impact, and the decline in the impact resistance of the bearing, a reliability evaluation model of gearbox bearings of wind turbines is established. A high-speed bearing of a gearbox from a wind farm in northern China is selected for simulation analysis. The results show that the proposed method can better describe the reliability decline process of the gearbox bearings of wind turbines, which has a specific guiding significance for the maintenance of wind turbines.

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“…working conditions are worse [28]. When the wind turbine runs with load for a long time, it may be affected by factors including sudden changes of wind direction and extreme weather.…”

Section: Introduction To Bearing Failure Of Gearbox Of Wind Turbinementioning

confidence: 99%

mentioning

confidence: 99%

Method for Evaluating the Reliability and Competitive Failure of Wind Turbine Gearbox Bearings Considering the Fault Incubation Point

et al. 2023

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Remaining useful life prediction for rolling bearings based on adaptive aggregation of dynamic feature correlations

Sun,

Luo,

Huang

et al. 2024

Journal of Vibration and Control

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It is significant to predict the remaining useful life (RUL) of the bearing to ensure its safe and stable operation. At present, the data-driven method has been successfully applied in the field of bearing RUL prediction. However, the feature correlations between data at different moments may be different, few methods can dynamically identify the change of the feature correlations between input data at different moments, which can impact the performance of the prediction. This article proposes an innovative RUL prediction method based on the adaptive feature correlations aggregation module (AFCA) and gated recurrent unit (GRU) to address this issue. First, statistical features are extracted from the vibration signal, and the fully connected graph is constructed to map the vibration signal data into the graph structure. Subsequently, the AFCA module is designed and constructed, and the AFCA-GRU model is built by combining GRU. A series of constructed fully connected graphs are fed into the model, and the hidden degradation information in graph structure data is mined to realize the prediction of bearing RUL. Among them, AFCA is used to adaptively explore the spatial correlations between graph node features at different moments, and GRU is used to explore the temporal correlations between graph structures. The PHM2012 Challenge dataset is utilized to validate the effectiveness of the proposed method. The comparative experimental results demonstrate that the performance of the method proposed herein surpasses that of other data-driven methodologies, with the capability to accurately predict the RUL of bearings.

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The Influence of Lobe Top Clearance on the Performance of High-Speed Centrifugal Pumps

Wang,

Wang

et al. 2024

Water

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High-speed centrifugal pumps are widely used in several industries due to their high efficiency and small footprint. In actual applications, there are issues such as low operational efficiency and a small high-efficiency flow interval; particularly, the leakage occurring in the impeller channel gap presents a significant barrier to the pump’s performance and stability. This study takes the fully open impeller miniature high-speed centrifugal pump as the object and uses a numerical simulation calculation method. The objective of this research endeavor is to analyze the effects of different flow conditions on a high-speed centrifugal pump’s external characteristics, flow field characteristics, and energy loss. The findings indicate that lobe top clearance exerts a substantial impact on the efficiency of high-speed centrifugal pumps. Increasing the lobe top clearance will result in a reduction in pump head and efficiency, particularly under high flow conditions. The lobe top clearance has a significant impact on the complexity of the flow in the impeller, particularly the flow close to the suction surface of the impeller, according to an analysis of the flow field characteristics. The energy loss analysis further confirms the importance of reducing lobe top clearance for improving pump performance and reducing energy loss. These results provide valuable guidance for optimizing centrifugal pump designs with lobe top clearance.

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A new approach for analyzing internal load and fatigue life of deep groove ball bearing in high-speed gearbox system

Cited by 3 publications

References 34 publications

Method for Evaluating the Reliability and Competitive Failure of Wind Turbine Gearbox Bearings Considering the Fault Incubation Point

Method for Evaluating the Reliability and Competitive Failure of Wind Turbine Gearbox Bearings Considering the Fault Incubation Point

Remaining useful life prediction for rolling bearings based on adaptive aggregation of dynamic feature correlations

The Influence of Lobe Top Clearance on the Performance of High-Speed Centrifugal Pumps

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