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<p>To address the current absence of vibration characteristic factory inspection standards for RV reducer manufacturers, this study concentrates on the RV40E reducer. By integrating factory inspection procedures and test bench systems with large-scale vibration signal analysis from production lines, we established a time-frequency domain evaluation standard for vibration-based product qualification through extensive sample analysis. The standard addresses 90% of typical factory defects, encompassing eccentricity errors, gear imperfections, and inspection inaccuracies. This approach allows for precise identification of specific fault types in non-conforming products using vibration analysis, thereby aiding in product repairs and performance optimization. The research has been successfully validated in small-scale enterprise production. Experimental results demonstrate that the proposed evaluation standard achieves 96.7% accuracy in fault identification under complex operating conditions, significantly outperforming traditional methods. This approach offers substantial practical value by resolving the industry’s lack of standardized vibration testing protocols. With all samples sourced from actual production lines, the data demonstrates high reliability and practical applicability, offering valuable references for the development of the RV reducer industry.</p>

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Development of vibration-based RV reducer diagnostic criteria and factory evaluation standards

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月27日

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  • Xin Wang,
  • Jiangwen Wei,
  • Yongliang Ding,
  • Xiaobin Liu,
  • Feng Zhang

摘要

To address the current absence of vibration characteristic factory inspection standards for RV reducer manufacturers, this study concentrates on the RV40E reducer. By integrating factory inspection procedures and test bench systems with large-scale vibration signal analysis from production lines, we established a time-frequency domain evaluation standard for vibration-based product qualification through extensive sample analysis. The standard addresses 90% of typical factory defects, encompassing eccentricity errors, gear imperfections, and inspection inaccuracies. This approach allows for precise identification of specific fault types in non-conforming products using vibration analysis, thereby aiding in product repairs and performance optimization. The research has been successfully validated in small-scale enterprise production. Experimental results demonstrate that the proposed evaluation standard achieves 96.7% accuracy in fault identification under complex operating conditions, significantly outperforming traditional methods. This approach offers substantial practical value by resolving the industry’s lack of standardized vibration testing protocols. With all samples sourced from actual production lines, the data demonstrates high reliability and practical applicability, offering valuable references for the development of the RV reducer industry.