| AR模型的盲辨识及其在机械故障中的应用研究 |
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| 引用本文： | 李志农,丁启全,吴昭同,郑时雄.AR模型的盲辨识及其在机械故障中的应用研究[J].机床与液压,2003(1):247-249. |
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| 作者姓名： | 李志农 丁启全 吴昭同 郑时雄 |
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| 作者单位： | 1. 浙江大学机械系,杭州,310027
2. 华南理工大学机械系,广州,510641 |
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| 基金项目： | 国家自然科学基金资助项目(50075079) |
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| 摘 要： | 提出了一种AR模型的盲辨识的算法，该算法与传统AR模型的辨识算法的区别在于：它可同时确定AR模型的阶次和参数，而不需事先确定AR模型的阶次或者假定AR模型的阶次已知，其特点是计算最小，具有很好的收敛性，并在此基础上，将AR模型的盲辨识方法应用到机械故障诊断中，进行了实验研究，取得了很好的效果。
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| 关 键 词： | 机械 盲系统辨识 故障诊断 AR模型 |
| 文章编号： | 1001-3881(2003)1-247-3 |
| 修稿时间： | 2002年6月28日 |
Blind Identification of AR Model and Its Application to Mechanical Fault Diagnosis |
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| Li Zhinong,Ding Qiquan,Wu Zhaotong,Zheng Shixiong.Blind Identification of AR Model and Its Application to Mechanical Fault Diagnosis[J].Machine Tool & Hydraulics,2003(1):247-249. |
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| Authors: | Li Zhinong Ding Qiquan Wu Zhaotong Zheng Shixiong |
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| Abstract: | Blind recursive identification algorithm of autoregressive models was presented, and the algorithm could determine system model order and parameters. Compared with classic identification methods of AR models, the distinctness was that the blind recursive identification method didn' t need to be prior to determine, or had known its order. The distinguish feature of the algorithm is to desire a limited calculation quantity and good convergence, and the meuhod was applied to feature extraction of fault diagnosis. Experiment result shows that this method is very efficiency. |
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| Keywords: | Blind idenlification Fault diagnosis AR model |
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