| GM(1,1)逐步优化建模方法及其在数控系统故障诊断中的应用 |
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| 引用本文： | 罗佑新,廖德岗,唐黔湘,何哲明.GM(1,1)逐步优化建模方法及其在数控系统故障诊断中的应用[J].机床与液压,2002(6):229-231. |
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| 作者姓名： | 罗佑新 廖德岗 唐黔湘 何哲明 |
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| 作者单位： | 常德师范学院机械工程系,中国湖南常德,415003 |
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| 摘 要： | 数控机床的数控系统的可靠性对数控机床质量起着非常重要的作用，但其故障信息是少信息的，如何对其故障做出合理的预测，具有重大的实践意义和理论价值。灰色系统理论是研究贫乏信息的科学理论，具有广泛的适应性。在GM（1，1）建模思想的基础上提出了一种逐步优化的建模方法。应用该模型对数控机床数控故障的预测进行了应用，效果令人满意，它为数控机床故障预测提供了科学而合理的新方法，值得推广使用。
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| 关 键 词： | 数控系统 数控机床 故障诊断 预测GM（1 1）模型 灰色系统 可靠性 |
| 修稿时间： | 2002年3月8日 |
A Step by Step Optimum Modeling method of GM(1,1) and Its Application to Fault Diagnosis in NC System of NC Machine Tool |
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| Luo Youxin,Liao Degang,Tang Qianxiang,He Zheming.A Step by Step Optimum Modeling method of GM(1,1) and Its Application to Fault Diagnosis in NC System of NC Machine Tool[J].Machine Tool & Hydraulics,2002(6):229-231. |
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| Authors: | Luo Youxin Liao Degang Tang Qianxiang He Zheming |
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| Abstract: | The reliability of NC system of NC machine tool is very import ant for the quality of NC machine tool As its data is not more, how to use a little data to forecast its future is very useful in theory and in practice Grey system is a theory which studies poor information specially, and it possesses wide suitability Based on the GM(1,1) modeling method in the document -,we put forward a step by step optimum method A example is given in NC system fault prediction of NC machine tool So a high precision model for it and a good method are established It can be widely used |
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| Keywords: | NC machine tool Fault diagnosis Prediction GM(1 1) model Grey system |
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