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Research on fault diagnosis method for ECS-CNCL based on rough set

机译:基于粗糙集的ECS-CNCL故障诊断方法研究

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Fault diagnosis method in the article is based on rough set of ECS-CNCL (Electrical Control System for Computer Numerical Control Lathe), established for the modern complex ECS-CNCL fault diagnosis, can handle a large, unsure, incomplete and inaccurate data of ECS-CNCL effectively, so as to facilitate the new rules of inference. The basic approach: saving the data which the fault diagnosis needs into the specific database, after processing, reduction, extraction of the relevant feature core, forming the relevant processing rules, then handling the fault diagnosis. Experiment results show that the method is not only fast, effective and substantially reduce the workload of processing data, but also has the growth.
机译:本文中的故障诊断方法基于粗糙集的ECS-CNCL(计算机数控车床电气控制系统),为现代复杂的ECS-CNCL故障诊断而建立,可以处理大量,不确定,不完整和不准确的ECS数据-CNCL有效,以促进新的推理规则。基本方法是:将故障诊断所需的数据保存到特定的数据库中,经过处理,归约,提取相关特征核,形成相关的处理规则,然后进行故障诊断。实验结果表明,该方法不仅快速,有效,大大减少了处理数据的工作量,而且具有不断发展的潜力。

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