@inproceedings{ddde88aa15f04654885c60d61a8de90a,
title = "Evaluation of the Angular Misalignment on RV Reducer Based on Motor Current Signature Analysis",
abstract = "The application of RV reducer is becoming more and more extensive, and the condition monitoring of its transmission system is becoming more and more important. Motor current signature analysis (MCSA) enables non-intrusive and cost-effective monitoring of information and has been widely used for condition monitoring. An RV reducer test rig was built up to simulate the angular misalignment between the driving motor and the RV input shaft. The motor stator current signal was collected under the different levels of the angular misalignment. The signal was analyzed both in time domain and frequency domain. Moreover, the characteristic frequencies of the RV reducer can be clearly observed in the motor current spectrum. The changes in the amplitudes of the characteristic frequencies were comprehensively studied, which gradually increase with the increase of the level of angular misalignment. The rotational frequency fr2 can be an indictor for diagnosis of angular misalignment.",
keywords = "Angular misalignment, MCSA, RV reducer, Spectrum analysis, Time domain analysis, Transmission system",
author = "Dongqin Li and Zhexiang Zou and Qirong Xu and Bing Li and Huanqing Han and Xiuquan Sun and Xiaoyu Zhao and Baoshan Huang and Fengshou Gu and Andrew Ball",
note = "Funding Information: Acknowledgements. This work was supported by the Zhuhai Basic Research Project (ZX-2021-002 “Research on the Wear Mechanism and Condition Monitoring Method of High-end Gear Hardened Surfaces”. Project No. ZH22017003200019PWC), and the Education Science Planning Project of Guangdong Education Department (Grant 2021GXJK179). Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference of The Efficiency and Performance Engineering Network 2022, TEPEN 2022 ; Conference date: 18-08-2022 Through 21-08-2022",
year = "2023",
month = mar,
day = "4",
doi = "10.1007/978-3-031-26193-0_65",
language = "English",
isbn = "9783031261923",
volume = "129",
series = "Mechanisms and Machine Science",
publisher = "Springer, Cham",
pages = "740--750",
editor = "Hao Zhang and Yongjian Ji and Tongtong Liu and Xiuquan Sun and Ball, {Andrew David}",
booktitle = "Proceedings of TEPEN 2022",
address = "Switzerland",
}