Investigation on the Influence of Dynamic Tooth Wear on Gear Dynamic Characteristics

Zhu, Lisha; Chen, Haonan; Du, Zunling; Lin, Zisheng; He, Yonghui; Han, Hairong

doi:10.1109/phm-qingdao46334.2019.8942885

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…Shen et al [4,5] considered the influence of tooth wear as a reduction in gear mesh stiffness, however, its influence on gear dynamics was not fully investigated as such reduction in gear mesh stiffness will not cause the deterioration in gear dynamics. Zhu [6] investigated the influence of tooth wear on the gear dynamic mesh force and the results demonstrate that the wear will cause an increase in mesh force and generate extra impact force. Wu [7] studied the influence of backlash induced by tooth wear on gear dynamics.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Spur Gear Dynamics with Gear MeshImpacts Induced by Tooth Wear

Sun

Zhang

Wang

et al. 2022

J. Phys.: Conf. Ser.

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Tooth wear is one of the most common faults in gear transmission systems. However, due to its limited influences on gear dynamics, the condition monitoring of gear wear experiences more challenges. To investigate the relationship between tooth wear and gear dynamics, this study develops an eight-degree of freedom dynamic model which takes into account the gear mesh impact induced by tooth wear. In this model, the gear mesh impact force induced by tooth wear was calculated as an extra input excitation for the gear dynamic model. Besides, a comparative study was carried out to explore the real reason that causes the poor dynamic behaviour due to the wear from two points of view: 1) the reduction in gear mesh stiffness; 2) the increase in gear mesh impact force. The simulation results show that the wear causes a slight reduction in gear mesh stiffness, thus leading to the decrease in the amplitude of gear mesh frequency. This is not consistent with the phenomena observed in the lab experiment which shows the increase in the gear vibrations. The second simulation of impact force demonstrates that the wear causes an increase in the impact force which further leads to the increase in the amplitude of gear mesh frequency. This study investigates the cause for the deterioration in gear dynamics induced by gear wear, which can benefit the early condition monitoring and fault diagnosis of the gear tooth wear.

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Section: Introductionmentioning

confidence: 99%

Investigation of Spur Gear Dynamics with Gear MeshImpacts Induced by Tooth Wear

Sun

Zhang

Wang

et al. 2022

J. Phys.: Conf. Ser.

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Research on Fault Diagnosis of Wind Turbine Gearbox with Snowflake Graph and Deep Learning Algorithm

Wang

Chen

2023

Applied Sciences

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Wind power generation is one of the important development projects for renewable energy worldwide. As wind turbines operate in harsh environments, failure of the wind turbines often occurs, thus leading to lower power generation efficiency and high maintenance cost. Earlier detection of the fault type can reduce the maintenance cost. This study proposed a hybrid recognition algorithm based on the symmetrized dot pattern (SDP) and convolutional neural network (CNN) for wind turbine gearbox fault diagnoses. In addition to a fault-free type, four fault types were discussed in this paper, including gear rustiness, broken tooth, wear, and aging. A vibration sensor was used for measurement. The original vibration signals of the gearbox were captured by a NI-9234 high-speed data acquisition card, filtered by a fast Fourier transform, and imported into the SDP to create the snowflake image features. Afterward, CNN diagnosed the gearbox fault type. There were 1500 test data in this study. A total of 200 data items for each fault type were used as training samples, and 100 data of each type were used as test samples. The test result shows that the training accuracy was 98.8%. The proposed method can diagnose the fault condition of the gearbox effectively and identify the fault type of the gearbox accurately. This is favorable for the quick maintenance of wind turbines.

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Investigation on the Influence of Dynamic Tooth Wear on Gear Dynamic Characteristics

Cited by 2 publications

References 4 publications

Investigation of Spur Gear Dynamics with Gear MeshImpacts Induced by Tooth Wear

Investigation of Spur Gear Dynamics with Gear MeshImpacts Induced by Tooth Wear

Research on Fault Diagnosis of Wind Turbine Gearbox with Snowflake Graph and Deep Learning Algorithm

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