| 利用小波包络诊断齿轮故障 |
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| 引用本文： | 皮骏,廖明夫.利用小波包络诊断齿轮故障[J].机械设计,2005,22(11):33-35. |
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| 作者姓名： | 皮骏 廖明夫 |
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| 作者单位： | 西北工业大学,旋转机械与风能装置测控研究所,陕西,西安,710072 |
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| 摘 要： | 根据小波能对信号包络提取的原理，对齿轮箱的振动信号进行了研究，应用基于小波原理的自信息包络提取法，同时，把该方法应用于分析齿轮故障，证明该方法能更有效地提取信号包络，适用于分析齿轮故障。
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| 关 键 词： | 小波分析 齿轮故障 包络提取法 自信息 |
| 文章编号： | 1001-2354（2005）11-0033-03 |
| 收稿时间： | 2005-04-06 |
| 修稿时间： | 2005-04-062005-06-15 |
Using wavelet envelope to diagnose gear failure |
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| PI Jun,LIAO Ming-fu.Using wavelet envelope to diagnose gear failure[J].Journal of Machine Design,2005,22(11):33-35. |
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| Authors: | PI Jun LIAO Ming-fu |
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| Abstract: | According to the principle of signal envelopment could be picked up by wavelet, a study on the vibrating signal of gearbox has been carried out. Let the picking up method of selfinformation envelopment based on wavelet principle be applied to the analysis of gear failure, it has been proved that this method could further effectively collecting the signal envelopments, and is suitable to be applied to the analysis of gear diagnoses. |
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| Keywords: | wavelet analysis gear failure envelope pickingup method self-information |
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