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首页> 外文期刊>Electric power systems research >Experimental investigations on induction machine condition monitoring and fault diagnosis using digital signal processing techniques
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Experimental investigations on induction machine condition monitoring and fault diagnosis using digital signal processing techniques

机译：利用数字信号处理技术进行感应电机状态监测与故障诊断的实验研究

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摘要

Condition monitoring is used for increasing machinery availability and machinery performance, reducing consequential damage, increasing machine life, reducing spare parts inventories, and reducing breakdown maintenance. An efficient condition monitoring scheme is capable of providing warning and predicting the faults at early stages. The monitoring system obtains information about the machine in the form of primary data and through the use of modern signal processing techniques; it is possible to give vital information to equipment operator before it catastrophically fails. The suitability of a signal processing technique to be used depends upon the nature of the signal and the required accuracy of the obtained information. Therefore, in this paper, signals obtained from the monitoring system are treated with different processing techniques with suitably modified algorithms to extract detailed information for machine health diagnosis. In this study, on-line analysis of the acquired signals has been performed using C~(++), while MATLAB has been used to perform the off-line analysis.
机译：状态监视用于增加机器的可用性和机器性能，减少间接损失，延长机器寿命，减少备件库存并减少故障维护。有效的状态监视方案能够在早期阶段提供警告并预测故障。监视系统以原始数据的形式并通过使用现代信号处理技术来获取有关机器的信息；可以在灾难性故障之前向设备操作员提供重要信息。所使用的信号处理技术的适用性取决于信号的性质和所获得信息的所需精度。因此，在本文中，使用经过适当修改的算法，使用不同的处理技术对从监控系统获得的信号进行处理，以提取用于机器健康诊断的详细信息。在这项研究中，已使用C〜（++）对获取的信号进行了在线分析，而MATLAB已用于执行离线分析。

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