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| Denoising of the kinetic parameters of a RV reducer based on an EMD algorithm |
| SONG Lei1, YOU Dongdong2, ZHENG Zhenxing1, ZHOU Yushan3, CHEN Longchong1 |
1. School of Mechanical and Electrical Engineering, Guangdong Polytechnic Normal University, Guangzhou 510635,China;
2. School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510640,China;
3. Institute of Automotive Engineering Research，Guangzhou Automobile Group Co., Ltd. , Guangzhou 510640,China |
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Abstract Rotate vector（RV）reducer is one of key transmission mechanisms in modern intelligent equipment, proportion of noise in its measurement signal of kinetic parameters is strong，which affects the operation accuracy and stability of equipment. This paper proposes a signal-denoising approach based on EMD (Empirical Mode Decomposition), and this approach can extract accurate kinetic-parameter-signals of RV reducer effectively. In the approach, the IMFs (Intrinsic Mode Function) derived from EMD are separated into 3 parts, noise IMFs, IMFs mixed with noise and information, information IMFs, with 2 indexes, CMSE (Consecutive Mean Square Error) and l2 norm. The different processing strategics are applied in 3 parts IMF, and the combination with PR (Part Reconstruction) fulfills the process of denoising. The denoising approach presented in this paper is used in the denoising process for the torque signals of RV40E reducer, the SNRs of denoised signals are improved observably, and the effectiveness of the approach is validated.
Key words: empirical mode decomposition（EMD）; RV reducer; consecutive mean square error(CMSE); l2-norm; signal denoising
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Received: 02 June 2021
Published: 28 September 2022
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