| 基于支持向量机的滚动轴承状态寿命模型 |
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| 引用本文： | 苗学问,田喜明,洪杰.基于支持向量机的滚动轴承状态寿命模型[J].航空动力学报,2008,23(12):2190-2195. |
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| 作者姓名： | 苗学问 田喜明 洪杰 |
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| 作者单位： | 北京航空航天大学能源与动力工程学院;海军驻西安地区航空军事代表室; |
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| 基金项目： | 航空科学基金(2007ZB51021) |
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| 摘 要： | 使用状态寿命(即状态良好、初始损伤、故障发展和即将失效4个寿命阶段)描述滚动轴承的使用寿命,并建立了滚动轴承的状态寿命评估模型.状态寿命评估模型建模的关键是振动信号的特征提取和状态的识别算法.针对滚动轴承振动的特点,提取小波包重构信号的频带能量构造特征向量,利用支持向量机作为辨识算法建立滚动轴承状态寿命评估模型,并讨论了模型参数确定等关键问题.滚动轴承全寿命试验验证了模型的有效性和可信性.
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| 关 键 词： | 滚动轴承 状态寿命 小波包变换 支持向量机 数学模型 |
| 收稿时间： | 9/26/2008 5:26:24 PM |
| 修稿时间： | 2008/11/17 0:00:00 |
Grade-life model of rolling bearing based on support vector machine |
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| MIAO Xue-wen,TIAN Xi-ming and HONG Jie.Grade-life model of rolling bearing based on support vector machine[J].Journal of Aerospace Power,2008,23(12):2190-2195. |
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| Authors: | MIAO Xue-wen TIAN Xi-ming and HONG Jie |
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| Institution: | School of Jet Propulsion, Beijing University of Aeronautics and Astronautics,School of Jet Propulsion, Beijing University of Aeronautics and Astronautics |
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| Abstract: | Grade-life was used to describe rolling bearing's service life,showing the entire service life is divided into four stages: good bearing condition,initial defect condition,damaged bearing condition and upcoming failure condition;an assessment model was presented for bearing's grade-life.Signal feature extraction and pattern recognition algorithm were crucial to construct the model.Vibration signals of the rolling bearing were analyzed,and the wavelet packet analysis theory was adopted to extract the grade-l... |
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| Keywords: | rolling bearing grade-life wavelet packet transform support vector machine(SVM) mathematical model |
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