Fault Diagnosis of RV Reducers Used in Industrial Robots Based on Vibration Analysis

Author:

Han Huanqing,Xu Qirong,Li Dongqin,Li Bing,Sun Xiuquan,Gu Fengshou

Publisher

Springer Nature Switzerland

Reference20 articles.

1. Huang, J., Li, C., Chen, B.: Optimization design of RV reducer crankshaft bearing. Appl. Sci. 10(18), 6520 (2020)

2. Steinbauer, G.: A Survey about Faults of Robots Used in RoboCup// RoboCup 2012: Robot Soccer World Cup XVI. Springer, Berlin Heidelberg (2013)

3. Li, C., et al.: Fault diagnosis for rotating machinery using vibration measurement deep statistical feature learning. Sensors 16(6), 895 (2016)

4. Raouf, I., Lee, H., Kim, H.S.: Mechanical fault detection based on machine learning for robotic RV reducer using electrical current signature analysis: a data-driven approach. J. Comput. Des. Eng. 9(2), 417–433 (2022)

5. Zamora, Y.M., Hernández-Callejo, L., Duque-Pérez, O., Alonso-Gómez, V.: Diagnosis of broken bars in wind turbine squirrel cage induction generator: approach based on current signal and generative adversarial networks. Appl. Sci. 11(15), 6942 (2021). https://doi.org/10.3390/app11156942

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