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回归法在机械性能衰退预测及故障诊断中的应用
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Application of Regression Method in Prediction of Mechanical Performance Degradation and Fault Diagnosis
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    摘要:

    机械运转时会发生渐进式的故障,为了尽早侦测出现的异常征兆,并对机械系统建立预兆式维护作业。利用回归分析法建立性能衰退预测模型,从机械振动变化预测机械性能衰退趋势,分析机械系统故障种类、故障问题,建立机台振动总量估算法及性能衰退管理方法。探讨故障诊断层级,建立振动信号测量诊断平台,通过对振动时域信号特征提取与分析,从而实现对机械系统进行性能评估及故障识别。实验结果表明:指数模型和测量数据具高关联性,适合于预估机械性能衰退,为机械系统的预兆式维护提供了技术参考。

    Abstract:

    Gradual failures occur during mechanical operation, in order to detect abnormal signs as early as possible, and to establish predictive maintenance operations on mechanical systems, the regression analysis method is used to establish the performance degradation prediction model. The mechanical performance degradation trend was predicted from the mechanical vibration change, the mechanical system fault type and fault problem were analyzed, and the machine vibration total estimation method and performance degradation management method were established. The fault diagnosis level was discussed, and the vibration signal measurement and diagnosis platform was established. Through the feature extraction and analysis of the vibration time domain signal, the performance evaluation and fault identification of the mechanical system were realized. The experimental results show that the exponential model and the measured data have high correlation, which is suitable for predicting mechanical performance degradation, and provides technical reference for the predicative maintenance of mechanical systems.

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付朝君.回归法在机械性能衰退预测及故障诊断中的应用[J].机床与液压,2020,48(1):193-198.
. Application of Regression Method in Prediction of Mechanical Performance Degradation and Fault Diagnosis[J]. Machine Tool & Hydraulics,2020,48(1):193-198

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  • 在线发布日期: 2020-03-12
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