| 调速阀故障诊断的AR双谱定阶方法比较 |
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| 引用本文： | 蒋雨燕,黄宜坚.调速阀故障诊断的AR双谱定阶方法比较[J].华侨大学学报(自然科学版),2009,30(2). |
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| 作者姓名： | 蒋雨燕 黄宜坚 |
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| 作者单位： | 华侨大学,机电及自动化学院,福建,泉州,362021 |
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| 基金项目： | 福建省重点高新技术项目，福建省自然科学基金 |
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| 摘 要： | 为解决故障诊断中确定最优的自回归(AR)模型阶数的问题,运用最终预测误差(FPE)、阿凯克信息准则(AIC)、贝叶斯信息准则(BIC),以及奇异值分解(SVD)的切片法和Frobenius法共5种定阶方法对调速阀的故障进行自回归模型定阶实验.结果表明,FPE,AIC,BIC及SVD切片法确定的阶数较低,而用SVD Frobenius法确定的阶数较高.通过不同阶数、不同故障的调速阀故障诊断实验可知,用SVD Frobenius法建立的AR模型效果优于其他方法.
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| 关 键 词： | 调速阀 故障诊断 自回归模型 时间序列双谱 定阶方法 奇异值分解 |
Comparison of Different Methods of Determining the Order of Autoregressive Bi-Spectrum |
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| JIANG Yu-yan,HUANG Yi-jian.Comparison of Different Methods of Determining the Order of Autoregressive Bi-Spectrum[J].Journal of Huaqiao University(Natural Science),2009,30(2). |
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| Authors: | JIANG Yu-yan HUANG Yi-jian |
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| Institution: | College of Mechanical Engineering and Automation;Huaqiao University;Quanzhou 362021;China |
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| Abstract: | In order to determine the optimal order of autoregressive(AR) models,the 5 methods including final prediction error(FPE),Akaike's information criterion(AIC),Bayesian information criterion(BIC),singular value decomposition(SVD) based Slicing,and Frobenius are used in the corresponding experiments for the faults of speed-regulating value. The results have revealed that the selected orders of the AR model using the FPE,AIC,BIC,SVD slicing methods are lower than that obtained using the SVD Frobenius method.It h... |
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| Keywords: | speed-regulating value fault diagnosis autoregressive model time series bi-spectrum method of determining the order singular value decomposition |
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