| Kalman滤波和BP网络在齿轮箱故障诊断中的应用 |
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| 引用本文： | 傅留虎,张睿,张悦.Kalman滤波和BP网络在齿轮箱故障诊断中的应用[J].山西机械,2014(1):134-135. |
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| 作者姓名： | 傅留虎 张睿 张悦 |
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| 作者单位： | [1]山西省机械产品质量监督检验站,山西 太原030009 [2]中北大学信息与通信工程学院,山西 太原030051 |
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| 摘 要： | 针对得到的齿轮箱运行中振动信号信噪比低而引起的故障识别精度低的问题，提出了一种新的基于卡尔曼滤波与BP神经网络的设备故障诊断方法，卡尔曼滤波的作用是对振动信号降噪处理然后提取特征，而BP网络则可实现故障的识别。通过算法仿真以及齿轮箱实验可证明，结合此种算法便可解决信噪比低的问题，与此同时也提高了故障识别精度。
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| 关 键 词： | 卡尔曼滤波 BP神经网络 齿轮箱 故障诊断 |
Gearbox Fault Diagnosis Based on Kalman and BP |
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| FU Liu-hu,ZHANG Rui,ZHANG Yue.Gearbox Fault Diagnosis Based on Kalman and BP[J].Shaanxi Machinery,2014(1):134-135. |
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| Authors: | FU Liu-hu ZHANG Rui ZHANG Yue |
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| Affiliation: | 1. Shanxi Machinery Products Quality Supervision and Inspection Station, Taiyuan 030009, China, 2. School of Information and Communication Engineering, North University of China, Taiyuan 030051, China) |
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| Abstract: | In the practical engineering ,the gearbox fault diagnosis information always has low SNR （Signal-to-noise ratio）,it increases the difficulty of the real feature extraction and reduces the fault diagnosis accuracy .This paper presents a technology of gearbox fault diagnosis ,which is based on Kalman and BP .Through analyzing the simulated data and the experimental data ,this fusion algorithm makes the diagnosis accuracy obviously improved . |
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| Keywords: | Kalman BP gear box fault diagnosis |
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