| 基于CGHMM的核电装备主泵状态监测与故障诊断技术的研究 |
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| 引用本文： | 李劲播,江志钢,岳夏.基于CGHMM的核电装备主泵状态监测与故障诊断技术的研究[J].现代机械,2010(1):29-31,36. |
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| 作者姓名： | 李劲播 江志钢 岳夏 |
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| 作者单位： | 1. 南华大学,机械工程学院,湖南,衡阳,421001
2. 华南理工大学,广东,广州,510006 |
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| 基金项目： | 国家高技术研究发展计划(863)资助项目 |
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| 摘 要： | 本文对核电机械装备系统中主泵状态进行监测和故障诊断。在短时傅里叶变换的倒谱系数为特征训练模型的基础上,采用CGHMM分析主泵运行的振动信号和建模,并对模型进行状态监测和故障诊断。实验结果表明该方法有效可行,不仅提高了诊断精度,而且加快了诊断速度。
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| 关 键 词： | 主泵 连续高斯密度混合HMM 监测 故障诊断 倒谱系数 |
Research on State Monitoring and Fault Diagnosis Technology of the Nuclear Power Equipment Coolant Pump based on CGHMM |
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| LI Jinbo,JIANG Zhigang,YUE Xia.Research on State Monitoring and Fault Diagnosis Technology of the Nuclear Power Equipment Coolant Pump based on CGHMM[J].Modern Machinery,2010(1):29-31,36. |
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| Authors: | LI Jinbo JIANG Zhigang YUE Xia |
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| Affiliation: | LI Jinbo, JIANG Zhigang,YUE Xia |
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| Abstract: | This paper studied monitoring and fault diagnosis to the coolant pump states in the Nuclear Power Mechanical Equipment System. Based on the short-time fourier transform of the Cepstrum Coefficients for the characteristics training model, Continuous Gaussian mixture Hidden Markov Model (CGHMM) is adopted to analyze vibration signals of the coolant pump working and to model, and it is state monitoring and fault diagnosis to the model. The experimentation result shows that this proposal method is effective and... |
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| Keywords: | the coolant pump Continuous Gaussian Mixture HMM monitoring fault diagnosis cepstrum coefficients |
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